AWS Customers

AWS Customers.

AWS has “millions of customers,” including “the fastest-growing startups, the largest enterprises, and leading government organisations.”

Alexa Web Information Service

1,624 companies

Amazon Alexa for Business

173 companies

Amazon API Gateway (APIG)

14,493 companies

Amazon AppStream

301 companies

Amazon Athena

8,220 companies

Amazon Augmented AI (Amazon A2I)

232 companies

Amazon Aurora

10,097 companies

Amazon Aurora Serverless

266 companies

Amazon Chime

273 companies

Amazon Cloud Directory

423 companies

Amazon CloudEndure Migration

194 companies

Amazon CloudFront

5,49,310 companies

Amazon CloudSearch

976 companies

Amazon Cloudwatch

19,914 companies

Amazon CodeGuru

524 companies

Amazon Cognito

6,338 companies

Amazon Comprehend

658 companies

Amazon Connect

1,132 companies

Amazon Corretto

461 companies

Amazon DocumentDB

812 companies

Amazon DynamoDB

24,324 companies

Amazon EC2

17,57,689 companies

Amazon EC2 Auto Scaling

1,597 companies

Amazon EC2 Container Service

1,048 companies

Amazon EC2 Reserved Instances

542 companies

Amazon Elastic Block Store 

10,788 companies

Amazon Elastic Container Registry (ECR)

4,894 companies

Amazon Elastic Container Service (ECS)

18,957 companies

Amazon Elastic File System

2,643 companies

Amazon Elastic Kubernetes Service (Amazon EKS)

10,966 companies

Amazon Elastic Load Balancing

1,69,009 companies

Amazon Elastic Transcoder

627 companies

Amazon ElastiCache

8,002 companies

Amazon EMR

10,920 companies

Amazon EventBridge

699 companies

Amazon Forecast

5,047 companies

Amazon FreeRTOS

3,135 companies

Amazon FSx for Lustre

447 companies

Amazon FSx for Windows File Server

274 companies

Amazon GameLift

102 companies

Amazon GuardDuty

2,084 companies

Amazon Inspector

168 companies

Amazon Interactive Video Service

447 companies

Amazon Kendra

834 companies

Amazon Kinesis

5,031 companies

Amazon Kinesis Data Analytics

1,134 companies

Amazon Kinesis Data Firehose

2,120 companies

Amazon Kinesis Data Streams (KDS)

12,221 companies

Amazon Kinesis Video Streams

724 companies

Amazon Lex

332 companies

Amazon Lightsail

700 companies

Amazon Linux 2

254 companies

Amazon Linux AMI

1,241 companies

Amazon Lumberyard

228 companies

Amazon Machine Learning

285 companies

Amazon Macie

475 companies

Amazon Managed Apache Cassandra Service

41,245 companies

Amazon Managed Blockchain

2,545 companies

Amazon Managed Streaming for Apache Kafka (Amazon MSK)

25,478 companies

Amazon MQ

414 companies

Amazon Neptune

943 companies

Amazon OpenSearch Service

6,195 companies

Amazon Personalize

745 companies

Amazon Pinpoint

472 companies

Amazon Polly

2,933 companies

Amazon Product Advertising API

38,951 companies

Amazon Quantum Ledger Database (QLDB)

1,547 companies

Amazon QuickSight

3,915 companies

Amazon RDS for MariaDB

140 companies

Amazon RDS for MySQL

1,110 companies

Amazon RDS for PostgreSQL

1,898 companies

Amazon RDS for SQL Server

7,447 companies

Amazon Redshift

9,654 companies

Amazon Rekognition

887 companies

Amazon Relational Database Service (RDS)

13,582 companies

Amazon Reserved Instance (RI) Reporting

100 companies

Amazon Route S3

1,613 companies

Amazon S3

4,93,521 companies

Amazon S3 Glacier

1,027 companies

Amazon SageMaker

4,168 companies

Amazon SageMaker Ground Truth

724 companies

Amazon SES

542 companies

Amazon Simple Notification Service (SNS)

7,607 companies

Amazon Simple Queue Service (SQS)

15,741 companies

Amazon Simple Workflow Service (SWF)

1,251 companies

Amazon SimpleDB

854 companies

Amazon Sumerian

104 companies

Amazon Textract

595 companies

Amazon Timestream

6,621 companies

Amazon Transcribe

3,635 companies

Amazon Translate

3,456 companies

Amazon VPC

13,254 companies

Amazon Web Hosting

24,07,082 companies

Amazon Web Services (AWS)

14,72,045 companies

Amazon Webstore

3,995 companies

Amazon WorkDocs

168 companies

Amazon WorkMail

251 companies

Amazon WorkSpaces

1,474 companies

Apache HCatalog

760 companies


1,745 companies

AWS Amplify

880 companies

AWS App Mesh

289 companies

AWS Application Discovery Service

254 companies

AWS Application Load Balancer

1,458 companies

AWS AppSync

1,555 companies

AWS AppySync

1,430 companies

AWS Artifact

144 companies

AWS Auto Scaling

1,147 companies

AWS Backup

1,013 companies

AWS Batch

1,295 companies

AWS Budgets

166 companies

AWS Certificate Manager

974 companies

AWS Chatbot

682 companies

AWS Cloud Data Migration

188 companies

AWS Cloud Development Kit

1,342 companies

AWS Cloud Map

212 companies

AWS Cloud9

247 companies

AWS CloudFormation

15,874 companies


323 companies

AWS CloudTrail

3,584 companies

AWS CodeBuild

3,241 companies

AWS CodeCommit

3,481 companies

AWS CodeDeploy

4,214 companies

AWS CodePipeline

6,335 companies

AWS CodeStar

293 companies

AWS Command Line Interface

4,999 companies

AWS Config

1,457 companies

AWS Control Tower

471 companies

AWS Cost & Usage Report

7,044 companies

AWS Cost Explorer

411 companies

AWS Data Lake Storage

1,954 companies

AWS Data Pipeline

2,985 companies

AWS Database Migration Service

1,457 companies

AWS DataSync

182 companies

AWS Deep Learning AMIs

544 companies

AWS DeepLens

111 companies

AWS DeepRacer

942 companies

AWS Device Farm

547 companies

AWS Direct Connect

3,078 companies

AWS Directory Service

254 companies

AWS Elastic Beanstalk

11,745 companies

AWS Elemental Conductor

135 companies

AWS Elemental Delta

254 companies

AWS Elemental Live

121 companies

AWS Elemental MediaConvert

194 companies

AWS Elemental MediaLive

146 companies

AWS Elemental MediaPackage

711 companies

AWS Elemental MediaTailor

144 companies

AWS Elemental Server

671 companies

AWS Fargate

5,414 companies

AWS Firewall Manager

160 companies

AWS Global Accelerator

136 companies

AWS Glue

7,541 companies

AWS GovCloud

1,465 companies

AWS Identity and Access Management (IAM)

16,004 companies

AWS Import/Export Snowball

675 companies

AWS Inferentia

124 companies


2,,988 companies

AWS IoT 1-Click

355 companies

AWS IoT Analytics

281 companies

AWS IoT Button

352 companies

AWS IoT Core

840 companies

AWS IoT Device Defender

135 companies

AWS IoT Device Management

178 companies

AWS IoT Events

48 companies

AWS IoT Greengrass

410 companies

AWS Key Management Service (KMS)

3864 companies

AWS Lake Formation

120 companies

AWS Lambda

37584 companies

AWS Lambda@Edge

339 companies

AWS Managed Services

1138 companies

AWS Management Console

1177 companies

AWS Marketplace

560 companies

AWS Migration Hub

750 companies

AWS Mobile Services

564 companies

AWS Multi-Factor Authentication

741 companies

AWS Network Firewall

265 companies

AWS Network Load Balancer

935 companies

AWS OpsWorks

3214 companies

AWS Organizations

532 companies

AWS Outposts

56 companies

AWS PrivateLink

264 companies

AWS Resource Access Manager

144 companies

AWS RoboMaker

68 companies

AWS Schema Conversion Tool

366 companies

AWS Secrets Manager

1,574  companies

AWS Security Hub

981 companies

AWS Server Migration Service

720 companies

AWS Service Catalog

212 companies

AWS Shield

911 companies

AWS Single Sign-On

406 companies

AWS Snowball

852 companies

AWS Snowball Edge

151 companies

AWS Snowmobile

130 companies

AWS Step Functions

2,594 companies

AWS Storage Gateway

1,074 companies

AWS Systems Manager

1,684 companies

AWS Transfer for SFTP

190 companies

AWS Transit Gateway

1,541 companies

AWS Trusted Advisor

1,031 companies


1,966 companies


242 companies

CloudEndure Disaster Recovery

411 companies

Contact Lens for Amazon Connect

312 companies


604 companies

TensorFlow on AWS

89 companies

VMware Cloud on AWS

113 companies

Alexa Web Information Service (AWIS)

Alexa Web Information Service (AWIS) is an API designed for web developers, researchers, and website owners. It enables users to analyze website traffic data by company, identify and optimize keyword opportunities, analyze competitor data and social engagement, and improve existing website content. Features include data and analysis on traffic ranking globally and by country, search traffic and bounce rates, audience overlap, industry topics by social engagement, daily time on site, keywords within competitive groupings, keywords with high purchase intent, organic competition, top social topics and engagement data.

Amazon Alexa For Business (AAFB)

An AI-powered virtual assistant called Amazon Alexa for Business was created for IT companies. It allows users to schedule or reschedule calendar meetings as well as start conference calls using simple voice commands. Users can also track meeting room metrics like attendance rate, recovered bookings, and most and least used rooms; add a voice interface to applications like Salesforce and ServiceNow; and automatically release reserved but unattended meeting room reservations after a specified time. Artificial intelligence, data collection, voice-enabled applications, optimal meeting room utilisation, and calendar integration are among the features.

Amazon API Gateway (APIG)

For application developers, Amazon API Gateway is a completely managed API development solution. It enables users to create representational state transfer (REST) and WebSocket APIs to access data, business logic, or functionality from backend services and handle all the tasks involved in accepting and processing concurrent API calls. Users can also publish, maintain, monitor, and secure application programme interfaces (APIs) on any scale. AWS authorisation, traffic management, API lifecycle management, software development kit (SDK) generation, API operations monitoring, and support for REST and WebSocket APIs are among the features.

Amazon AppStream

AWS desktop apps can be streamed from AWS to a web browser using Amazon AppStream, a managed application streaming solution. Users can add applications to AWS for rapid end-user access (through an AppStream client or HTML5-capable web browser), maintain a single version of each application, and scale automatically in accordance with business requirements. Centralized administrative management, access from supported devices (Windows or Linux PCs, Macs, Chromebooks, iPads, and Android tablets), application and data security, integration with on-premise and AWS environments, support for GPU-optimized virtual machines, support for Amazon Virtual Private Cloud (VPC), identity federation, and support for Microsoft Active Directory and NICE Desktop Cloud Visualization (DCV) are among the features.

Amazon Athena

For data analysts, database administrators, and data scientists, Amazon Athena provides a serverless interactive SQL query tool. It enables users to crawl data sources to discover schemas, populate catalogues with new or modified table and partition definitions, and maintain schema versioning. Users can also analyse data in Amazon S3 using standard SQL, create and manage a unified metadata repository across multiple services, and analyse data in Amazon S3 using standard SQL. Pay-per-query models, parallel query execution, automatic routing, access controls, integration with AWS Glue, federated queries, connectors for Amazon DynamoDB, Apache HBase, Amazon Document DB, Amazon Redshift, AWS CloudWatch, and relational databases that comply with JDBC standards are among the features.

Amazon Augmented AI (Amazon A2I)

A machine learning (ML) based human review prediction software called Amazon Augmented AI (Amazon A2I) is created for the healthcare and financial service industries. It gives customers the ability to process documents, extract key-value pairs from document images or online forms, create a system for human review, and retrain models using more recent forecasts. Integration with Amazon SageMaker, workflow management, threshold optimization, support for picture moderation, template customization, review triggering, and image classification are among the features.

Amazon Aurora

Designed to work with MySQL and PostgreSQL, Amazon Aurora is a relational database engine. Users are able to increase throughput, increase availability and fault tolerance, reduce lock contention, and eliminate delays brought on by database process threads. AWS RDS, the AWS Management Console interface, AWS CLI commands, and API operations (for provisioning, patching, backup, recovery, failure detection, and repair), automatic cluster replication, and storage allocation, push-button compute scaling, storage auto-scaling, serverless configuration, instance monitoring, and instance repair are among the features.

An on-demand, auto-scaling configuration solution created for Amazon Aurora is called Amazon Aurora Serverless. It lets users connect applications; build database endpoints; migrate between traditional and serverless configurations; and enables databases to automatically start-up, shut-down, and scale capacity up or down dependent on the application’s capability. Custom database endpoints, encryption, pay-per-use database resources, a distributed, fault-tolerant Aurora storage architecture, and multitenant application administration are among the features.

Amazon Chime

A unified communications option for business organisations is Amazon Chime. Users can hold online conferences, voice conversations, chats, and video meetings thanks to it. Meeting scheduler, tap to join, running late status, visual meeting roster, screen sharing, meeting recorder, support for 16 desktop or 8 mobile video conference participants, compatibility with SIP and H.323 video conferencing systems, smart presence, incoming webhooks, secure encryption, AWS CloudTrail integration, SSO, user permission management, and reporting are just a few of the features.

Amazon Cloud Directory (ACD)

AWS cloud-based hierarchical data storage created for developers is called Amazon Cloud Directory. Users can create directories for a variety of use cases, including organisational charts, course catalogues, and device registries. They can also build cloud-native directories for organising hierarchies of data along multiple dimensions, search the directory for objects and relationships, and streamline policy management. Tools for managing relationships and data as well as schema management, built-in data encryption, and object policy management are among the features.

Amazon CloudEndure Migration (ACM)

An agent-based application and database migration solution for IT teams is called Amazon CloudEndure Migration. It enables users to migrate all programmes and databases that use supported Windows and Linux OS versions to AWS, replicate source machines into a staging area, track and replicate source disc modifications, choose configuration options for orchestrated targets, manage hypervisor and OS configuration changes, OS activation, and install target infrastructure agents. Included in the features are support for ISO 27001 compliance, disaster recovery, total cost of ownership (TCO) optimization, sub-second recover point objective (RPO) capabilities, workload management, non-disruptive replication, failback automation, and data encryption capability.

Amazon CloudFront (ACF)

Amazon CloudFront is a programmable content delivery network (CDN) designed for application developers. It enables users to optimize dynamic web content delivery, create layered security perimeter against multiple types of attacks, restrict access to an Amazon S3 bucket, manage certificate renewal automatically, build content variants with cache-key manipulation, as well as respond to requests at the lowest latency. Features include HTTPS connection optimization, OCSP stapling capability, session ticketing, field-level encryption, origin access identity (OAI) support, PCI-DSS Level complaint support, redundancy management, and asset optimization. 

Amazon CloudSearch (ACS)

For web developers and administrators, Amazon CloudSearch is a cloud-based search tool on the Amazon Web Services (AWS) cloud. Users can set up, administer, and grow a search solution for websites or applications, as well as search collections of data like web pages, document files, forum discussions, or product information. The features include field weighting, geospatial search, highlighting, multilingual support, Boolean and Faceted search, autocomplete recommendations, customised relevance ranking and query-time rank expressions, and autocomplete suggestions.

Amazon CloudWatch (ACW)

For DevOps teams, Amazon CloudWatch is an observability and monitoring feature of Amazon Web Services (AWS). Users can respond to system-wide performance changes, optimise resource use, gather operational and monitoring data (in the form of logs, metrics, and events), detect anomalous behaviour in environments, view logs and metrics side by side, and automate actions based on predefined thresholds or machine learning (ML) algorithms. Operational metrics, data visualisation, resource planning, the capacity to troubleshoot, and configurable dashboards are features.

Amazon CodeGuru(ACG)

Amazon For software developers, CodeGuru is a machine learning (ML)-based code review automation and application performance advice service. It allows users to analyse source code pull requests to find issues, look at application CPU utilisation and latency characteristics, profile and troubleshoot applications using actual customer traffic patterns, and identify performance issues. Users can also identify and resolve code results such as resource leaks, potential concurrency race conditions, and wasted CPU cycles. Request management, deviation detection, performance graph visualisation, error handling, Java application support, and application performance optimization are among the features.

Amazon Cognito (AC)

A user and mobile application authentication solution for application developers is Amazon Cognito. Users can establish and map roles and users, prevent unlawful access to the account, add user sign-up, sign-in, and access control to web and mobile applications, and authenticate with one or more third-party identity providers (Facebook, Google, or log in with Amazon). User directory, an integrated and customisable user interface (UI), risk-based adaptive authentication, support for identity management standards, an OTP generator, and compliance management are among the features.

Amazon Comprehend (ACH)

A natural language processing (NLP) product called Amazon Comprehend is intended for programmers and data scientists. Users can extract key phrases, locations, individuals, companies, or events, as well as discern between positive and negative sentiment, using machine learning to find insights and linkages in unstructured data. Key phrase extraction, sentiment analysis, syntax analysis, entity identification, medical information extraction, custom entities and categorization, language detection, topic modelling, and support for various languages are just a few of the features. Comprehend and Comprehend Medical are two versions.

Amazon Connect (AC)

The omnichannel cloud contact centre solution Amazon Connect is created for managers and agents of contact centres. It enables users to schedule automated calls for appointment reminders, create voice and chat contact flows without any coding, construct natural language chatbot contact flows, and streamline the sentiment, trends, and compliance risks of customer conversations. It also enables users to compare and analyse conversation history and real-time data. Among the features are skill-based routing, asynchronous messaging, agent performance evaluations, call recording, web and mobile chat, and outbound calling.

Amazon Corretto

The Open Java Development Kit (OpenJDK) is available as an open-source distribution called Amazon Corretto, which is intended for programmers and application developers. Users can create and use Java apps thanks to it. Long-term support and security updates, certification for the Java SE standard, and support for Linux, Windows, and macOS are among the features.

Amazon DocumentDB(ADB)

An all-encompassing document database management solution for database administrators and managers is Amazon DocumentDB (with MongoDB compatibility). Users can transfer databases from on-premises or Amazon EC2 to DocumentDB, set up firewall rules and network access controls, manage cluster patching with database engine version management, encrypt databases with AWS key management services, track replicas as they are added or removed from the databases, restore routing, create subnets, set up routing and access control lists, and more (ACLs). Features include role-based access control (RBAC) support, backup management, fault-tolerance, throughput optimization, provisioning automation, scalability, storage optimization, catalogue and profile management, and throughput optimization.

Amazon DynamoDB (ADDB)

The managed NoSQL database solution Amazon DynamoDB is made to accommodate key-value and document data structures. It allows customers to build database tables that can handle any volume of request traffic and any quantity of data storage without experiencing any downtime. Users can also build on-demand backups, activate point-in-time recovery for DynamoDB tables, and delete out-of-date objects to save money on storage. Flexible schema, microsecond latency (DynamoDB Accelerator), automated global replication, Amazon Kinesis Data Streams, read/write capacity modes, on-demand mode, auto-scaling, change tracking with triggers, ACID transactions, encryption at rest, point-in-time recovery, and on-demand backup and restore are some of the features.

Amazon EC2

Elastic Compute Cloud (Amazon EC2) is a web-scale cloud computing service created with developers in mind. It lets customers to acquire and set up capacity, create applications that are resilient to failure, and isolate from typical failure scenarios. High-Performance Computing (HPC) clusters, GPU computing, GPU graphics, dense storage instances, elastic IP addresses, Amazon EC2 auto-scaling, and elastic fabric adapter are among the features. Compute performance and cost optimization are also included.

Amazon EC2 Scaling

An application maintenance and performance management tool created for IT firms is Amazon EC2 Auto Scaling. Users can use it to keep applications available, add or remove EC2 instances, schedule EC2 instances based on anticipated demand, identify sick instances and replace them with healthy ones, send alarms to start activities, and balance instances between zones. Predictive scaling, fleet management, assistance with various buying models and availability zones, and dynamic scaling are among the features.

Amazon EC2 Container Service

IT administrators can manage containers with the Amazon EC2 Container Service platform. Users can create, run, and scale Docker-based applications with its help. Users can also create and manage clusters, specify container placements across clusters based on their needs, manage multiple predefined tasks at once, receive notifications about Cloudwatch ECS Alarms and Events through AWS Lambda functions, and run lengthy batch jobs. Performance optimization, resource tagging, task definition, JSON support, different availability zones, Virtual Private Cloud (VPC), and Amazon Linux AMI are among the features.

Amazon EC2 Reserved Instances

A virtual server created specifically for IT managers is called Amazon EC2 Reserved Instances (RI). It allows users to evaluate the payback period, scale clouds without extending the workforce, link a commitment to AWS to use particular instance types in exchange for a discount on compute expenses, and create, launch, and terminate server instances as needed. Capacity reservation, standard and convertible RIs, scheduled RIs, scalable application deployment, and shared between several accounts are among the features.

Amazon Elastic Block Store (AEBS)

A comprehensive block storage solution created specifically for Amazon Elastic Compute Cloud (EC2) environments is called Amazon Elastic Block Store (Amazon EBS). Users can use it to scale clusters for big data analytics engines like Hadoop and Spark, back up volumes for geographical protection of data in Amazon S3, guard against system failures by duplicating within the Availability Zone (AZ), and store data persistently on a file system. Features include the ability to enable SSD-backed options, improve storage, use encryption, reduce data loss and recovery times, and dynamically modify speed.

Amazon Elastic Container Registry(AECR)

A Docker container registry made specifically for developers is called Amazon Elastic Container Registry (ECR). Users can use it to manage and deploy Docker container images, streamline processes from development to production, and do away with the need to manage container repositories or scale underlying infrastructure. Namespaces for defining and managing repositories, automated encryption, connection with Docker CLI and Amazon Elastic Container Service (ECS), and integrations with third-party developers are among the features.

Amazon Elastic Container Service (ECS)

A container orchestration management tool for application developers is called Amazon Elastic Container Service (ECS). It allows users to schedule the placement of containers, specify and pay for resources per application, manage clusters using AWS Fargate, set access permissions for containers using IAM to limit access, and specify and pay for resources per application. Cost and performance optimization, VPC security, deep learning inference acceleration, batch processing, and load balancing capability are among the features.

Amazon Elastic File System (EFS)

A file storage solution for Amazon Elastic Compute Cloud (Amazon EC2) instances is called Amazon Elastic File System (EFS). It supports a wide range of use cases, including web and content serving, corporate applications, media processing workflows, container storage, and Big Data and analytics applications. It is made for high availability and durability.

Amazon Elastic Kubernetes Service

The deployment, scaling, and administration of containerized applications may all be automated with the help of Amazon Elastic Kubernetes Service (Amazon EKS), a managed Kubernetes service. It enables users to autonomously manage the availability and scalability of each cluster’s control plane nodes, which are in charge of launching and stopping containers, scheduling containers on virtual machines, and storing cluster data. There are a number of features, such as managed control plane and worker nodes, eksctl launching, Windows support, load balancing, serverless computing, hybrid deployment, networking and security integration, logging, managed cluster updates, and assistance for advanced workloads.

Amazon Elastic Load Balancing

Amazon Elastic Load Balancing is an application traffic management solution designed for Amazon EC2 applications. It enables users to balance traffic across targets automatically, route request traffic between tiers of the application, assign security groups to the load balancer to control which ports are open to a list of allowed sources, build an entire website using Lambda functions, combine EC2 instances, containers, and on-premises servers to develop applications, and redirect traffic to healthy targets in other availability zones. Features include health checks, integrated certificate management, application performance monitoring, HTTPS termination support, and path-based routing.

Amazon Elastic Transcoder (AET)

A media transcoding service for the cloud created specifically for developers is called Amazon Elastic Transcoder. It allows users to process multiple files simultaneously and organise the transcoding workflow, view the status of transcoding pipelines and jobs, receive notifications of transcoding jobs via Amazon Simple Notification Service (Amazon SNS), create multiple output files of different bit rates and formats, create an audio-only alternate stream, set the size of the alternate stream, and find and adjust settings for various devices through trial and error with pre-defined presets. AES-128 encryption, DRM packaging assistance, clip and stitch production, video bit rate optimization, pipeline transcoding, and bit rate enhancement are among the features.

Amazon ElastiCache (AEC)

A completely managed in-memory data store and cache service called Amazon ElastiCache was created for real-time applications. Users can use it to deploy, manage, and scale an in-memory data store or cache in the cloud, improve application and database performance, store non-durable datasets in memory, use an end-to-end optimised stack running on customer dedicated nodes, and cache data to ease the load on the backend database. Application performance management, persistent session caching, real-time analytics, session storage, and machine learning are features.

Amazon EMR (AEMR)

Data scientists, analysts, and web developers can use the managed cluster platform known as Amazon EMR (Elastic MapReduce). In addition to supporting workloads built on Apache Spark, Presto, and Apache HBase, it enables users to process large data sets in a distributed computing environment, run and scale big data frameworks, examine data in log analysis, web indexing, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics, and more. Multi-user access for EMR Notebooks, multiple cluster deployments, elasticity, Amazon S3 integration, AWS Glue data catalogue integration, data store administration, support for Hadoop tools, and management of users and permissions are just a few of the features.

Amazon EventBridge (AEB)

Previously known as Amazon CloudWatch Events, Amazon EventBridge is a serverless event bridge used to distribute data streams from applications and services. Users can transmit status variations in customer support tickets, analyse the remediation velocity and average operational load on engineering teams, as well as automate directory registration procedures, by setting up routing rules to determine where to transfer data to create application architectures. Operations overhead reduction, support for AWS Lambda, application monitoring, customer data updates, and system management automation are among the features.

Amazon Forecast (AF)

A time-series forecasting tool for developers, Amazon Forecast is built on machine learning. Users can use it to estimate future business outcomes like product demand, resource requirements, or financial performance by generating forecasts based on a combination of time series (historical) data and extra variables. Additionally, unique machine learning models can be trained, adjusted, and deployed using Amazon Forecast. A service console, graph and table visualisation tools, accuracy measurements, scheduling for forecast and model retraining, integration with SAP and Oracle Supply Chain, and automated machine learning are among the features.

Amazon FreeRTOS

An open-source operating system made specifically for microcontrollers is called Amazon FreeRTOS. It gives customers the ability to deploy, protect, and manage small, low-power edge devices, capture both the essential operating system (to run the edge device) and software libraries to connect to the cloud, and programme connected, microcontroller-based devices to gather data for IoT applications. AWS IoT Core device shadows and AWS IoT device defender are supported, along with an extended FreeRTOS kernel, local and cloud connectivity, a Transport Layer Security (TLS) v1.2 library, compatible microcontrollers, and an Amazon FreeRTOS console.

Amazon FSx for Lustre (AFxL)

System administrators may process workloads completely under management using Amazon FSx for Lustre. Users can copy data by importing through Amazon Direct Connect, erase file system clusters, compute file system workloads, and launch an Amazon FSx file system on the virtual network. They can also read and write data at rates of up to hundreds of gigabytes per second and millions of IOPS. Cost reduction, performance management, data encryption, service organisation control (SOC) compliance, support for the Health Insurance Portability and Accountability Act (HIPPA), and file locking support are some of the features.

Amazon FSx For Window File Server

A completely managed native Windows file system created for file storage migration is called Amazon FSx for Windows File Server. It allows users to launch resilient and accessible Windows file systems that can be accessed by computing instances using the industry-standard SMB protocol, move Windows-based applications that need file storage to AWS, create a fully managed file system, and access file shares from application servers and end-user instances. Support for multiple AZ deployments, the ability to access numerous VPCs, automation of encryption, and identity-based authentication are features.

Amazon GameLift

A game server hosting service for application developers is called Amazon GameLift. Users can set up, manage, and scale dedicated servers in the cloud for session-based multiplayer games, connect the community across devices, host their own game servers, review data on individual player and game sessions, reduce latency and wait times, improve resource utilisation management, and keep tabs on ongoing activity, security, and storage. Multi-region queues, FleetIQ placement of game sessions, game session recording, a prediction system, and real-time customizations are among the features.



Amazon GuardDuty

A threat detection tool for security teams is Amazon GuardDuty. In order to safeguard AWS accounts and workloads, customers can continuously check for malicious activities and unauthorised behaviour. They can also utilise machine learning and anomaly detection techniques to recognise and prioritise threats. Features include grading threat severity levels, built-in, cloud-optimized threat detection, account-level threat detection, continuous monitoring across all AWS accounts, automated threat response, and remediation.

Amazon Inspector

An automated security evaluation tool called Amazon Inspector is created for authors, security teams, and IT managers. It enables users to instantly evaluate programmes for security exposure, flaws related to EC2 instances’ unexpected network accessibility, and departures from established practises. The features include identifying application security flaws, analysing network configurations, managing compliance, enforcing security standards, scanning configurations and activities, having a built-in content library, and automating through an API (API).

Amazon Interactive Video Service

A controlled live streaming solution for the digital marketing and broadcasting industries, Amazon Interactive Video Service (Amazon IVS) is available. While concentrating on creating interactive experiences in addition to the video, it enables users to make low-latency video and a personalised audience experience available to viewers around the globe. Along with stream chat APIs, timed metadata APIs, the Amazon IVS player SDK, and website and app integrations are features.

Amazon Kendra

For web and application developers, Amazon Kendra is a machine learning (ML) based corporate search solution. Users can upload a list of frequently asked questions (FAQs) to the application to receive direct answers to common questions, manage document access rights, and streamline domain expertise by providing personalised synonym lists. Users can also add content from file systems and search for the necessary results. Natural language keyword support, document rating, domain optimization, connectivity with Salesforce and DropBox, PDF support, automated data source synchronisation, feedback analysis, and content management are among the features.

Amazon Kinesis

Developers, data analysts, and data scientists can use the stream analytics software suite known as Amazon Kinesis. For machine learning, analytics, and other applications, it lets users to gather, process, and analyse real-time streaming data such as video, audio, application logs, website clickstreams, and IoT telemetry. Kinesis Data Analytics, Kinesis Data Firehose, Kinesis Video Streams, and Kinesis Data Streams are among the modules.

Amazon Kinesis Data Analytics

A real-time data analytics tool made specifically for IT teams is called Amazon Kinesis Data Analytics. It gives users the ability to gather, search for, and analyse streaming data, create, run, and connect streaming applications with other AWS services, ingest and track various kinds of audience-provided data records, simplify content performance management, and compute metrics over time periods. Data processing, scalable templates, an interactive SQL editor, pre-built operators, AWS service connections, and data aggregation are among the features.

Amazon Kinesis Firehose

A method for managing data streaming in the AWS environment is called Amazon Kinesis Data Firehose. It enables users to configure and retry failed jobs, back up the raw streaming data automatically, create a Firehose delivery stream from the AWS Management Console, automatically transform the incoming data to columnar formats, convert streaming data from sources into claimed formats, configure and back up failed jobs, and back up source data to another Amazon S3 bucket. Features include interaction with Amazon S3 and Amazon Redshift, throughput optimization, support for GZip and Apache Parquet, debugging ability, automation of encryption, performance monitoring, and integration with Kenisis data analytics.

Amazon Kinesis Data Streams (KDS)

A real-time data analytics and streaming solution for IT teams is called Amazon Kinesis Data Streams (KDS). It allows users to gather log and event data from sources like servers, desktops, and mobile devices, streamline regulatory and compliance management, dynamically adjust the stream’s throughput, replicate streaming data across availability zones, and assess the usability engagement of various applications that are running concurrently on the site. Built-in AWS application connectors, data encryption, data capture, data analytics, dashboards, stream processing, and reporting capabilities are among the features.

Amazon Kinesis Video Streams

An application for live video streaming called Amazon Kinesis Video Streams was created for contexts where video processing and batch-oriented video analytics are used. Users can send non-video time-serialized data, playback video for live and on-demand visualisation, automatically encrypt and transmit data using the transport layer security (TLS) protocol, search and retrieve video fragments based on timestamps generated by the device and the service, enter and retrieve indexed media, predict defects, and schedule replacement in advance thanks to this technology. Data indexing, application administration, data streaming, Apache MXNet support, storage optimization, Amazon Rekognition Video integration, HTTP Live Streaming (HLS), and WebRTC support are among the features.

Amazon lex

Amazon Lex is an AWS service for creating speech and text-based conversational user interfaces for applications. It gives users the ability to create natural language chatbots that are intended to produce new product categories as well as user experiences with genuine conversational interactions. To manage the discourse and dynamically alter the response in the conversation, Amazon Lex offers natural language understanding (NLU) and automatic voice recognition (ASR). It is integrated with Lambda, Amazon CloudWatch, Amazon Cognito, AWS Mobile Hub, and Amazon DynamoDB.

Amazon lightsail

For AWS developers, scientists, and engineers, Amazon Lightsail is a virtual private server cloud platform. In addition to allowing users to request and manage certificates directly from the Lightsail console, it also allows users to create and customise blogs, e-commerce websites, and personal websites. It also allows users to integrate Lightsail with AWS projects through Amazon virtual private cloud (VPC) peering. It has features including improved load balancing, database management, secure shell (SSH) terminal access, secure key management, and DNS management.

Amazon linux 2

The Linux operating system Amazon Linux 2 is geared toward programmers and IT managers. Users can use it to streamline the scripting of routine administrative activities, build, test, and certify applications from a local development environment, patch major and important security holes in the Linux kernel without a reboot, and manage system processes. AWS integration, live kernel patching, virtual machine images, Systemd support, and task management are among the features.

Amazon aMI 2

For DevOps teams, Amazon Linux AMI is a Linux image that is supported and maintained. It enables users to set launch permissions that regulate which AWS accounts can use the AMI to launch instances, provision tasks from within an Amazon EC2 instance, restrict remote access capabilities by using SSH key pairs and disabling remote root login, and choose which image attributes to display, like the root device type. Features include launch wizard, system management, block device mapping, package repositories, and security alerts.

Amazon lumberyard

A cross-platform gaming engine created for game developers is called Amazon Lumberyard. Users can use it to create multiplayer games that visualise votes, automatically convert source art files into game-ready assets, synchronise networked objects using the GridMates replica architecture, and iterate and create gameplay effects in the editor. Animation sequencing, session management, Twitch ChatPlay integration, Modular Gems integration, and host migration capability are among the features.

Amazon machine learning

A GUI-based integrated development environment for building machine learning workflows on AWS is called Amazon Machine Learning (Amazon ML). It makes it possible for programmers to create, test, and implement predictive analytics applications. Users of Amazon ML can build machine learning models with the help of visualisation tools and wizards without having to become experts in ML technology, write bespoke prediction generating code, or take care of infrastructure.

Amazon Macie

An IT security administrator-focused cloud security product called Amazon Macie uses machine learning. It helps users to find, categorise, and safeguard sensitive data (such PII) that is kept in Amazon S3, automate the tracking of data access activities, and produce warnings when leaks or illegal access are found. There are several features, such as data discovery and classification, data security tools (for PII, PHI, regulatory documents, API keys, and secret keys), AI-driven access pattern detection, NLP-driven data analysis, policy and access change alerts, data/account credential tracking and notifications, and customised alerts.

Amazon managed apache cassandra service

For DevOps teams, Amazon Managed Apache Cassandra Service offers a managed database alternative to Apache Cassandra. Users can build applications with virtual storage and throughput, monitor usage and performance, automatically scale tables up and down in response to application traffic, create keyspaces and tables, and provision, patch, or manage servers without deploying any infrastructure or installing software. Among the features are support for Apache Cassandra, workload automation, data encryption, access control, and performance analytics.

Amazon managed blockchain

A blockchain network management tool for DevOps teams is Amazon Managed Blockchain. It gives users the ability to construct blockchain apps, govern access to and permissions over data on the blockchain, keep the history of all transactions in the blockchain network, and create test networks using simulated networks. Version control, log management, transaction processing, rights management, custom programming, and Hyperledger Fabric options are among the features.

Amazon managed streaming for apache kafka (amazon MSK)

An Apache Kafka management tool created for DevOps teams is called Amazon Managed Streaming for Apache Kafka (Amazon MSK). By using it, users can create real-time streaming data pipelines and applications, manage server patches and upgrades, architect the cluster for availability, keep an eye on the health of the cluster, migrate and run current Apache Kafka applications on AWS, and manage Apache Kafka cluster provisioning, configuration, and maintenance. Support for native Apache Kafka APIs is one of the features, along with node management, automatic recovery and patching, data encryption, and broker scaling.

Amazon mQ

For Apache ActiveMQ applications, there is a managed message broker service called Amazon MQ. Users can manage administrative tasks, keep an eye on logs and generate alarms for potential restrictions, update endpoint applications and transfer messages, broadcast messages to subscribers through queues, restrict access to the private connection, and configure security groups to control network access to the broker. Features include cost optimization, message durability support, message encryption, password-based authentication capability, interaction with Amazon CloudWatch and AWS CloudTrail, and throughput optimization.

Amazon Neptune

Applications developers and data analysts can use the cloud-based managed graph database engine called Amazon Neptune. It allows users to create and execute connected dataset applications, automatically and continuously monitor and back up databases, store, isolate, and encrypt data, as well as manage database management activities including hardware provisioning, software patching, setup, and configuration. Read replicas, point-in-time recovery, continuous backup, replication across availability zones, fault-tolerant and self-healing storage, resource-level permissions, and database performance management are among the features. Additionally, support for Property Graph and W3C’s RDF is provided, as well as query languages like Apache TinkerPop Gremlin and SPARQL.

Amazon openSearch service

A search and analytics engine created for web developers is Amazon OpenSearch Service (formerly known as Amazon Elasticsearch Service). It enables users to manage incidents and run real-time threat detection on Elasticsearch clusters in the Amazon Web Services (AWS) cloud. Users can also see data in real-time, save and study data for visibility into the system performance, and run observability logs, metrics, and traces. Features include built-in Kibana support, monitoring and metrics, data ingestion, data persistence, support for plugins, security and compliance management, and scalability.

Amazon personalize

An application developer-focused SaaS machine learning service is Amazon Personalize. Without having a lot of machine learning background, developers can now build, train, and deploy recommendation models to produce customised consumer recommendations. By combining customer and contextual data, Amazon Personalize can determine what information is important, use the appropriate algorithms, and develop a personalised personalization model. Automated machine learning, AutoML capabilities, continuous learning, an AWS console, an AWS SDK, integration into websites, mobile apps, content management systems, and email marketing systems via an inference API call, as well as recommendations APIs, search APIs, and promotions/notifications APIs, are some of the features.

Amazon pinpoint

A marketing and analytics service created for enterprise organisations is called Amazon Pinpoint. It allows users to track campaign responses, create unique audience segments, and pre-plan focused campaigns. Users may send tailored communications to customers through a variety of engagement channels (including transactional email, SMS, push notifications, and voice messages). A deliverability dashboard, targeted segmentation tools, multi-channel messaging, application analytics, campaign performance metrics, external data connection, text-to-voice functionality (using Amazon Polly), and phone number validation are some of the features offered.

Amazon polly

For mobile applications, accessibility software for individuals with visual impairments, and the Internet of Things, Amazon Polly is a cloud-based text to speech conversion tool. It allows users to design new categories of speech-enabled devices, make products more engaging and accessible, and create applications that talk. The applications can operate in different regions and employ the best voice for users thanks to Amazon Polly’s multilingual support and selection of lifelike voices.

Amazon product advertising API

A online service and application programming interface (API) created for application programmers and developers is the Amazon Product Advertising API, formerly known as Amazon Associates Web Service (A2S). Through third-party websites and applications, it enables users to list and sell products, access data about products that are for sale, customer reviews, seller reviews, and product promotions, establish web stores, and show product descriptions, photos, and reviews to buyers. The language of preference compatibility, prime exclusive eligibility, many and clear sales rank information, and support for JSON format are among the features.

Amazon quantum ledger database (QLDB)

A completely managed ledger database called Amazon Quantum Ledger Database (QLDB) is made for enterprise organisations, data scientists, and analysts. It enables users to track application data change, keep an exhaustive and verifiable history of changes over time, and manage a transparent, immutable, and cryptographically verifiable transaction log maintained by a central trusted authority. A document-oriented data format, an append-only journal, access to change history, a change history digest, serverless applications, operational metrics, support for Structured Query Language (SQL), and transactional consistency and atomicity are some features.

Amazon quickSight

IT managers can use the cloud-based business intelligence (BI) service platform Amazon QuickSight. Users can ask questions, explore data through interactive dashboards, find hidden insights from data, perform forecasting and what-if research, and build sophisticated data models for controlled data sharing. Included in the features are high availability, HIPAA compliance, workload management, SPICE in-memory storage optimization, Amazon Athena support, ML integration, Amazon Redshift interface, and API support.

Amazon RDS For mariaDB

For database engineers and application developers, Amazon RDS for MariaDB provides a relational database management solution. Users can view key operational metrics for the DB instance deployments, store and back up database and transaction logs, synchronously replicate the data to a standby instance in a different Availability Zone (AZ), configure firewall settings, and manage network access to the DB instances. Users can also manage database administration tasks such as backups, software patching, monitoring, scaling, and replication. Features include pre-configured settings, DB event notifications, provision of up to 64TB storage and 80,000 IOPS per database instance, DB snapshots, and read replicas.

Amazon RDS For mySql

For application developers and database professionals, Amazon RDS for MySQL provides a relational database management solution. It allows users to launch and connect to a MySQL database that is ready for production, recover MySQL database instances to any point in time within the designated retention period, access and track CPU, memory, file system, and disc I/O metrics, and modify the database connection string in the application configuration file. The features include multi-file native restores, user-initiated backups, database workload management, data encryption, pre-configured parameters, and event notifications.

Amazon RDS For postgreSQL

Application developers and database professionals can use Amazon RDS for PostgreSQL as a relational database management solution. It enables users to launch and connect to a production-ready PostgreSQL database, convert from Magnetic Storage to General Purpose (SSD) storage, create a database on the DB Instance and load the dump, backup databases and transaction logs and store both for a user-specified retention period, isolate DB Instances in own virtual network, and access and modify data stored in other PostgreSQL servers. There are other features, such as PostGIS compatibility, DB event notification, automatic software patching, DB Snapshots, and foreign data wrappers.

Amazon RDS For SQL server

A relational database administration tool for SQL Server, Amazon RDS is intended for use by database architects and application developers. It enables users to deploy multiple editions of SQL Server (2012, 2014, 2016, 2017, and 2019), including Express, Web, Standard, and Enterprise, create and save automated backups of the SQL Server instance, replicate data synchronously across different availability zones, streamline database management tasks like hardware provisioning, software patching, setup, and configuration, and track and view key operational metrics for the DB Instance deployments, including comp. Pre-configured parameters, automatic host substitution, assistance with the Microsoft SQL Server Database Publishing Wizard, multi-file native restorations, and event notifications are among the features.

Amazon redshift

Data scientists, analysts, database administrators, and software developers can use the petabyte-scale data warehouse technology known as Amazon Redshift. It allows users to setup and deploy data warehouses to run queries across petabytes of data built on Amazon S3 and handle analytical workloads on data stored by a column-oriented database management system. Users can also analyse data using existing business intelligence tools across data warehouses (DBMS). Massively parallel processing (MPP), result caching, machine learning capabilities, automated provisioning, third-party tool integration, data lake querying, end-to-end encryption, network isolation, audit and compliance are among the features.

Amazon rekognition

A service called Amazon Rekognition is intended to enhance apps with picture analysis. Users may search for and compare faces, find celebrities, and detect inappropriate content in photographs in addition to being able to recognise objects, scenes, and faces. Users can integrate deep learning-based visual search and image classification into apps using the Rekognition API.

Amazon relational database service (rDS)

The distributed relational database service known as Amazon Relational Database Service (RDS) enables users to set up, manage, and grow relational databases in the cloud. A single API call can scale storage and compute resources, and procedures like patching database software, backing up databases, and allowing point-in-time recovery are managed automatically.

Amazon reserved instance (rI) reporting

AWS users can use Amazon Reserved Instance (RI) Reporting, an AWS utilisation and coverage reporting tool. By using the available filtering dimensions, users may adjust the underlying data, get cost and consumption data at the daily and monthly levels of detail, see the proportion of operating instance hours, manage instance bookings, and monitor them. The features include threshold alarms, cost and usage datasets, reservation trackers, and AWS budget management.

Amazon route S3

As a component of Amazon Web Services, Amazon Route 53 provides a scalable domain name system (AWS). It helps programmers to direct consumers to Internet applications by converting domain names like into the numeric IP addresses used by computers to communicate, such as It can be used to connect user requests to infrastructure operating in or outside of AWS, configure DNS health checks to route traffic to healthy endpoints, or independently monitor the health of applications and endpoints.

Amazon s3

IT storage administrators can use the cloud-based object storage infrastructure known as Amazon S3 (Simple Storage Service). It enables users to maintain data version control, manage and retrieve data and security, configure access controls to meet compliance requirements, automatically store copies of data across availability zones (AZs), change object tag sets, modify access controls, and restore archived objects, as well as migrate workloads from existing WORM systems. Features include the ability to adjust latency, support for Amazon CloudWatch, SFTP, image repository optimization, and request rate performance analysis.

Amazon s3 Glacier

For mobile applications, accessibility software for individuals with visual impairments, and the Internet of Things, Amazon Polly is a cloud-based text to speech conversion tool. It allows users to design new categories of speech-enabled devices, make products more engaging and accessible, and create applications that talk. The applications can operate in different regions and employ the best voice for users thanks to Amazon Polly’s multilingual support and selection of lifelike voices.

Amazon sagemaker

For data scientists, Amazon SageMaker is a cloud machine learning platform. It enables users to create, train, and deploy machine learning models, label training datasets for a range of use cases (including 3D point clouds, video, images, and text), tune ML model features, pinpoint training mistakes and performance stumbling blocks from the models, and generate predictions for batch or real-time data. Among the features are built-in A/B testing ability, support for deep learning frameworks, pre-configuration for running TensorFlow, Apache MXNet, and Chainer in Docker containers, and integration with current processes.

Amazon sagemaker ground truth

For data scientists and machine learning engineers, Amazon SageMaker Ground Truth is a fully managed data labelling solution. It enables users to create a streaming labelling task, send new dataset objects to labelers in real-time, generate particular types of labels for the data, and create accurate training datasets for machine learning. Users can also collect label inputs from two or more data labelers and combine them to create a single data label for the machine learning model. Built-in labelling procedures, object detection, objection tracking, text categorization, and semantic segmentation are among the features.

Amazon SES

Digital marketers and application developers can send transactional, marketing, and notification emails using Amazon SES (Simple Email Service), a cloud-based email sending service. Applications already in use, such as email clients and ticketing systems, can be simply linked with Amazon SES.

Amazon simple notification service (SNS)

A pub/sub messaging solution for microservices, distributed systems, and serverless applications, Amazon Simple Notification Service (SNS) is fully managed. Users can analyse pub/sub messaging architecture by offloading the message filtering logic from the subscriber systems, decouple microservices, distributed systems, and serverless applications, and message to a large number of subscriber endpoints for parallel processing, including Amazon SQS queues, AWS Lambda functions, and HTTP/S webhooks. Private messaging, event-driven computing, message filtering, message fanout, message encryption, and mobile notifications are features. The workload is automatically scaled.

Amazon simple queue service (sQS)

A completely controlled message queuing solution for application developers is called Amazon Simple Queue Service (SQS). Users may control the complexity and overhead involved in managing and operating message-oriented middleware, as well as transmit, store, and receive messages across software components at any volume, as well as decouple and scale microservices, distributed systems, and serverless applications. There are several features available, such as the normal queue, the first-in-first-out (FIFO) queue, infinite queues and messages, message locking, queue sharing, server-side encryption (SSE), buffer and batch operations, and request offloading.

Amazon simple workflow service (SWf)

An end-to-end cloud-based task manager and status tracker for application developers is called Amazon Simple Workflow Service (SWF). It enables users to request and carry out workflow activities, manage conditional tasks, track workflow execution and logging, build loops for achievement, and manage infrastructure process automation. The ability to migrate data centres is one of several features, along with infrastructure management, scalability, video encoding, and scheduling management.

Amazon simpleDB

For database managers, Amazon SimpleDB is a distributed database. It enables users to automatically manage infrastructure provisioning, hardware and software maintenance, and replication and indexing of data items. It also allows users to create multiple geographically dispersed copies of each data item, audit access entries or configuration changes for applications or networked devices, capture and monitor environmental conditions (temperature, pressure, humidity, etc.) at various locations and set up alerts for specific conditions, and log data. Latency optimization, transactions management, query processing, metadata management, and data retrieval are among the features.

Amazon sumerian

For content producers, designers, and application developers, Amazon Sumerian provides a platform for developing mixed reality applications. Users can construct simulations to train staff, design dynamic sceneries that react to user interactions, and develop browser-based 3D, augmented reality (AR), and virtual reality (VR) apps. Users can even visualise things before purchasing them. Features include built-in voice and chatbots, state machine editor, connectivity with AWS services, pre-configured scenes and asset packs, and browser-based publishing.

Amazon textract

A text and data extraction tool for scanned documents and forms is called Amazon Textract. It enables users to automate document and approval workflows, create smart search indexes, and ensure compliance with data archival rules by flagging data that may need redaction. Users can also use it to read a variety of documents and extract text and data using machine learning (without manual entry or custom code). Features include bounding boxes, confidence scoring, key-value pair extraction, table extraction, and OCR capabilities.

Amazon timestream

IoT and operational applications can use Amazon Timestream, a time-series database service. Users can manage log data for DevOps, sensor data for IoT applications, and query performance through the query processing engine and data preservation policies. It also allows users to store and analyse events, clickstream, and times-series data. Automatic rollups, retention, tiering, data compression, built-in analytics, serverless architecture, application and trade monitoring, fleet management, and route planning and optimization are among the features.

Amazon transcribe

An automated speech recognition (ASR) tool called Amazon Transcribe was created with developers in mind. It allows users to analyse audio files kept in Amazon S3 and create a text file including voice transcriptions. Users may also integrate speech-to-text functionality to applications. Among the features are deep learning-based transcription, automatic formatting, timestamp generation, custom vocabulary tools, multiple speaker recognition, channel identification, and subtitle generation for video or audio files, as well as real-time transcription streaming and multilingual support.

Amazon translate

For developers, Amazon Translate offers neural machine translation services. It enables users to localise websites and applications for users outside of their country as well as translate huge amounts of text and construct applications that need support across various languages. 21-language translation, a neural machine translation system, source language recognition, encryption and storage at rest, translation customisation, and exception handling are among the features.

Amazon vPC

A networking layer and virtual cloud computing solution created for virtual networking environments is called Amazon VPC (Virtual Private Cloud). By configuring network setup, it allows users to access and manage IPv4 and IPv6, build a public-facing subnet for web servers, react to incoming HTTP and SSL requests, transmit data back to the datacenter, and terminate undesired EC2 instances. Network traffic analysis, traffic mirroring, scalability, storage optimization, and IPsec hardware VPN connection encryption are among the features.

Amazon web hosting

Amazon Web Hosting is a cloud web hosting service created for large businesses. It enables customers to host websites in datacenters around the world and make them available via the Internet. Scalability, support for development platforms including Java, Ruby, PHP, Node.js, and.Net, resource management, variable pricing structures, and compatibility with content management systems are among the features.

Amazon web service (AWS)

The on-demand cloud computing services provided by Amazon Web Services (AWS) are aimed towards IT specialists, software engineers, and app developers. With the help of these solutions, customers may power various workloads such as web and mobile apps, game development, data processing and warehousing, storage, boost agility, and cut expenses associated with IT. Applications covered by solutions include computing, storage, databases, networking, analytics, machine learning, artificial intelligence (AI), the Internet of Things (IoT), security, and the creation, deployment, and administration of applications.

Amazon webstore

For online retailers and merchants, Amazon Webstore is an eCommerce platform. Users can use it to track and visualise user flows, movements, clicks, scroll events, and keystrokes, as well as to detect and manage out-of-stock issues on priority items, collect, store, and analyse customer data, identify and distinguish fraud from legitimate customers, experiment with proration, special discounts, cross-sells and up-sells, and promotions, process and organise orders and purchases, and monitor competitive launches to find new trend opportunities. Dashboards, campaign administration, social media sharing, online payment processing, stock and inventory management, and multichannel advertising are among the features.

Amazon workDocs

A content management and collaboration tool for content creators and editors is called Amazon WorkDocs. Users can launch content directly from Windows File Explorer, Mac Finder, or Amazon WorkSpaces, route documents and other files, create, edit, and share content, invite external users for cross-organizational collaboration, review user and admin activity tracking, and migrate existing content from legacy network file shares. Workflow automation, team content collaboration, an administrative dashboard, alerts and reminders, and application extensions are among the features.

Amazon workMail

Currently available desktop and mobile email client applications are supported by Amazon WorkMail, a managed business email and calendar service. It enables IT managers to offer users email, contacts, and calendars using their preferred programme (such as Microsoft Outlook, the built-in email clients for iOS and Android, or online via a web browser). The features include native support for Microsoft Outlook (Windows or Mac OS X), multi-device accessibility, journaling, email flow rules, spam and virus protection, integration with AWS CloudTrail, and interoperability with existing corporate directories. Additionally, Microsoft Exchange Server is supported.

Amazon workSpaces

It is possible to provision virtual, cloud-based Microsoft Windows or Amazon Linux desktops using Amazon WorkSpaces, a managed, secure cloud desktop service. It makes it possible for users to simplify the management of hardware inventories, OS versions and updates, and virtual desktop infrastructure (VDI), and it enables end users to access the workspace and apps from a variety of compatible devices (such as Windows or Mac computers, Chromebook, iPad, Fire tablet, Android tablet, and Chrome or Firefox browsers). Amazon WorkSpaces Bundles, the ability to use your own licence (BYOL), Active Directory and RADIUS connectivity, persistent storage, and support for PCoIP (PC-over-IP) technology are among the features.

Apache HCatalog

For application developers, Apache HCatalog is a layer for managing tables and storage in Hadoop. It enables users to read and write data on the grid using Pig and MapReduce as well as access Hive metastore tables within bespoke MapReduce applications, Spark SQL, and/or Pig. An abstraction layer for tables, several formats, a shared schema and data types, integration with other tools, binary format, and authentication are among the features.


For machine learning engineers, there is an open-source AutoML library called AutoGluon. With just a few lines of code, users can prototype deep learning and traditional ML solutions for the raw data, take advantage of automatic hyperparameter tuning, model selection and assembly, architecture search, and data processing, and carry out regression/classification tasks with tabular data, text, and images. Deep learning, object detection, data splitting, image prediction, and multi-layer stack ensembling are among the features.

AWS amplify

For developers, AWS Amplify provides a set of tools for creating mobile applications. It enables users to develop scalable mobile and web applications, combine their backends with frontends for iOS, Android, the web, and React Native, and automate the process of releasing new versions of those applications. Included among the components are AWS Amplify Console and the Amplify Framework (libraries, UI components, and command line interface).

AWS app mesh

System administrators can use AWS App Mesh, a networking management tool for applications. Users can export monitoring data and implement communications control logic, capture metrics, logs, and traces from applications, identify and detach service problems, configure traffic flows, implement custom traffic routing rules, automate application management through proxy configuration, update traffic routing between services dynamically, and add and remove load balancing endpoints based on service registration. The ability to communicate between microservices, traffic management, support for Amazon CloudWatch, performance optimization, application streamlining, fault detection, and network rerouting automation are among the features.

AWS application discovery service

For planning migration projects, small, medium, and large-sized businesses can use AWS Application Discovery Service. Users can record inbound and outbound network activity for the server, capture performance information about applications and processes by measuring host CPU, memory, and disc usage, and analyse the time-series system performance. It also allows users to migrate the discovered servers and track the progress. IP address management, performance monitoring, data exploration, AWS migration hub integration, Amazon Athena integration, and discovery service analysis capability are among the features.

AWS application load balancer

For developers and IT managers, AWS Application Load Balancer (ALB) is a platform for request level (Layer 7) operation and traffic targeting management. It allows customers to access advanced request routing geared at delivering modern application designs, configure and route incoming end-user traffic to apps based in the AWS public cloud, and ensure the most recent SSL/TLS cyphers and protocols are being used. The creation and management of security groups, support for AWS Outposts, native WebSocket and HTTP/2 support, request tracing, and user authentication are among the features.

AWS appSync

The application development tool AWS AppSync was created for application developers. Users can build and create multi-user applications, manage application business use cases and requirements, and access, manipulate, and combine data from one or more data sources. They can also execute queries and aggregation across various data sources with a single network call. AWS Lambda compatibility, Amazon DynamoDB and Amazon Elasticsearch, data caching capabilities, and data access control are among the features. GraphQL subscriptions and offline data syncing are further features.

AWS appySync

The online and mobile application development solution AWS AppySync was created for application developers. Users can use it to build event-driven applications, update data within applications, create application programme interfaces (APIs) to access, combine, and manipulate data from one or more data sources, and set up communication between apps and data sources using mapping templates, which convert GraphQL queries into various message formats. GraphQL proxy, real-time data access and updates, offline data synchronizations, data querying, and integration with Lambda, Elasticsearch, and Amazon DynamoDB are among the features.

AWS artifact

For AWS users, AWS Artifact is a self-service report retrieval portal for security and compliance. Users can manage online agreements with AWS, review, reject, accept, and manage them. They can also access and continuously monitor AWS security and compliance data. The Business Associate Addendum (BAA) and the Nondisclosure Agreement (NDA) are two examples of AWS Artifact agreements. Other features include agreement governance, reports from the Service Organization Control (SOC) and the Payment Card Industry (PCI), certifications from accrediting organisations, and agreements themselves.

AWS auto scaling

IT managers may scale their compute resources with the help of AWS Auto Scaling. It gives users the ability to locate, follow, and keep tabs on the performance of numerous apps while also dynamically adjusting capacity to maximise efficiency and cut costs. AWS management options include the AWS Management Console, Command Line Interface (CLI), or SDK. Additional features include a customizable user interface, step scaling policies, scheduled scaling, scaling for a variety of resources (including Amazon EC2 instances and tasks, Spot Fleets, Amazon DynamoDB tables and indexes, and Amazon Aurora replicas and clusters), and scaling for various resources. Unlike the AWS Auto Scaling tool, which only scales individual services, AWS Auto Scaling grows entire infrastructures.

AWS backup

AWS Backup is an application developers-focused, fully managed data backup solution. It allows users to configure backup policies and monitor backup activity for AWS resources, centralise and automate the backup of data across AWS services in the cloud and on-premises using AWS Storage Gateway, and consolidate backup tasks previously carried out service-by-service by doing away with the need to write custom scripts and manual processes. AWS CloudTrail integration, support for lifecycle management policies, a policy-based backup solution, backup scheduling automation, and monitoring of backup activities are some of the features.

AWS batch

Application developers, scientists, and engineers can use AWS Batch as a batch computing and processing solution. Users can use it to organise, schedule, and carry out batch computing workloads. AWS compute services, data retrieval and writing to and from AWS data storage, job distribution optimization based on volume and resource requirements, and monitoring metrics for computing capacity, running, pending, and finished jobs are all provided. The features include priority-based job scheduling, job dependency modelling, integration with open-source workflow engines, distributed graphics processing unit (GPU) model training, and data access control.

AWS budgets

The finance departments can use AWS Budgets, a customised budget management programme. Users can set reservation coverage or usage goals, track them, and look them over. They can also get warnings when utilisation falls below predetermined threshold levels. Included in the features are access to the budget API, usage-based budgets, a dashboard for budgets, support for changing budget targets, performance analysis, alerting, and cost management.

AWS certificate manager

Network administrators and application developers can use the cloud-based authentication solution called AWS Certificate Manager. It allows for the provisioning, upkeep, and deployment of both public and private secure sockets layer/transport layer security (SSL/TLS) certificates, as well as the handling of certificate renewals, the creation of private certificates for internal resources, and the central management of the certificate lifecycle. Private certificate authorities, secure key management, connectivity with other AWS services, the ability to import third-party certificates, and encryption are some of the features.

AWS chatbot

For DevOps teams, AWS Chatbot is a chat operations management tool. Users can use it to invoke AWS Lambda functions, create AWS support cases, analyse and respond to retrieving diagnostic data about AWS resources, receive notifications about operational incidents and other events from sources that are supported, and select and manage permissions linked to pre-defined permission templates. Response improvement, Slack channel compatibility, notification triggering, data retrieval, IAM integration, and support for Amazon Chime are among the features.

AWS cloud data migration

AWS Backup is an application developers-focused, fully managed data backup solution. It allows users to configure backup policies and monitor backup activity for AWS resources, centralise and automate the backup of data across AWS services in the cloud and on-premises using AWS Storage Gateway, and consolidate backup tasks previously carried out service-by-service by doing away with the need to write custom scripts and manual processes. AWS CloudTrail integration, support for lifecycle management policies, a policy-based backup solution, backup scheduling automation, and monitoring of backup activities are some of the features.

AWS Cloud development kit

An open-source software development platform created for DevOps teams is called AWS Cloud Development Kit. It enables users to write and define runtime code, manage objects, loops, and conditions in code, and visualise application stacks and resources. Users can also model and provision cloud application resources, create and delete a collection of resources jointly, compose and share custom components, and compose and define runtime code. Custom scripts, pre-built templates, resource configuration for the cloud, an integrated development environment (IDE), and development process management are among the features.

AWS cloud map

AWS Cloud Map is a tool for IT teams to explore cloud resources. Users can customise the deployment and define custom attributes, launch and terminate microservices, discover resources within the registry and retrieve the location and credential for those resources, manage the updated location of dynamically changing resources, monitor the health of IP-based components of the application, define custom names for application resources, and streamline application response time by connecting to upstream services. Error detection, DNS query management, service naming, custom attribute assignment, access control, change propagation optimization, and service management are among the features.

AWS cloud9

An integrated development environment (IDE) for the cloud called AWS Cloud9 was created for programmers. It lets users to develop, run, and debug code (in JavaScript, Python, PHP, Ruby, Go, and C++) using just a browser and from any Internet-connected device. There are several run configurations (support for more than 40 programming languages), an integrated debugger, prepackaged SDKs, tools, and libraries, Linux server compatibility, sudo privileges, AWS CodeStar integration, revision history, themes, keyboard shortcuts, and an integrated image editor, among other features.

AWS cloudFormation

The Infrastructure-as-Code (IaC) tool AWS CloudFormation is intended for system administrators and developers. Users can write and execute custom scripts, model and provision AWS and third-party application resources in the cloud, standardise infrastructure components across the company (enabling configuration compliance and quicker troubleshooting), orchestrate and manage the application stack, and write and run custom scripts. Built-in templates, change previews, dependency management, version control, setting up cloud resources, and managing across accounts and regions are among the features.

AWS cloudHSM

An integrated development environment (IDE) for the cloud called AWS Cloud9 was created for programmers. It lets users to develop, run, and debug code (in JavaScript, Python, PHP, Ruby, Go, and C++) using just a browser and from any Internet-connected device. There are several run configurations (support for more than 40 programming languages), an integrated debugger, prepackaged SDKs, tools, and libraries, Linux server compatibility, sudo privileges, AWS CodeStar integration, revision history, themes, keyboard shortcuts, and an integrated image editor, among other features.

AWS cloudTrail

AWS CloudTrail is a user activity tracking and application programming interface (API) service made for IT enterprises. It allows customers to monitor, search, and stream events by defining metric filters, as well as track, record, and identify odd API activity. Users may also utilise Amazon Athena to validate log files and do in-depth analysis. Configuration management, Lambda integration, event management, log file integrity verification, and S3 bucket integration are among the features.

AWS codeBuild

For application developers, AWS CodeBuild is a managed continuous integration (CI) solution. Users can construct encrypted artefacts, submit and run several builds simultaneously, compile and produce source codes and software packages, and create bespoke build environments. The features include customer-specific keys, build command specification, predefined build environments for Java, Python, Node.js, Ruby, Go, and Android, custom dashboards, log monitoring, and notification creation.

AWS codeCommit

A managed source control system specifically made for DevOps teams is called AWS CodeCommit. It enables users to commit, branch, and merge code and send incremental changes rather than the complete application in the Amazon S3 and Amazon DynamoDB clouds. Users can also discreetly store and manage assets such as documents, source code, and binary files there. Included in the features are the establishment of repositories, custom scripts, event notifications, and interaction with AWS CloudTrail and AWS CloudWatch. 

AWS codeDeploy

AWS CloudTrail is a user activity tracking and application programming interface (API) service made for IT enterprises. It allows customers to monitor, search, and stream events by defining metric filters, as well as track, record, and identify odd API activity. Users may also utilise Amazon Athena to validate log files and do in-depth analysis. Configuration management, Lambda integration, event management, log file integrity verification, and S3 bucket integration are among the features.

AWS codePipeline

For DevOps teams, AWS CodePipeline provides a managed continuous delivery solution. It enables customers to merge AWS CodePipeline with third-party services like GitHub or with custom plugins, automate the release pipelines for application and infrastructure upgrades, and streamline the build, test, and deployment phases of the release process each time there is a code change. Workflow modelling, connections to other AWS services, built-in plugins, declarative templates, SAML-integrated directories, workflow modelling, and application quality management are among the features.

AWS codeStar

An application development platform for software development teams is called AWS CodeStar. Users can set up continuous delivery toolchains, create, build, and deploy apps on Amazon Web Services, manage software development operations from a single location, and control access for owners, contributors, and watchers. Project management dashboards, project templates, team access control, controlled builds, automated continuous delivery pipelines, automated deployments, and IDE connections are among the features.

AWS command line interface

For programmers and technical workers, there is an open-source application administration tool called AWS Command Line Interface. Users can use it to publish and manage things like storage, memory, and networking, do recursive uploads and downloads, trigger backups, and complete other cloud computing functions without having to undertake difficult manual processes. The functionality includes auto-completion commands, dynamic in-line documentation, OS shell command execution, and command export to a text editor.

AWS config

The configurations of AWS resources can be assessed using the resource assessment, auditing, and evaluation tool known as AWS Config. It helps customers to streamline compliance auditing, security analysis, change management, and operational troubleshooting while automating the monitoring and assessment of AWS resource setups. Resource administration, auditing and compliance, managing and troubleshooting configuration changes, multi-account and multi-region data aggregation, configurable and customised rules, configuration history, snapshots, resource relationships tracking, and security analysis are among the features.

AWS control tower

The multi-account AWS environment automation product known as AWS Control Tower was created for mid-sized to enterprise enterprises. Users can set up a safe environment to control Amazon Web Services (AWS) workloads for security, operations, and compliance, and they can also create new AWS accounts that are compliant with compliance rules. Included in the features are continuous policy enforcement, setup, configuration, and visual summaries of the AWS environment, automatic creation of AWS Landing Zones, cross-account security audits using AWS identity and access management (IAM), network design implementation using Amazon virtual private cloud (VPC), centralise logging using AWS CloudTrail and AWS Configuration, and a continuous visibility dashboard.

AWS cost & usage report

For users of AWS, there is a billing and cost management console called AWS Cost & Usage Report. Users can obtain predicted charges for the account, run standard SQL queries to examine the cost and usage data, publish AWS billing reports to an Amazon Simple Storage Service (Amazon S3) bucket, track incidents back to individual reservations, and aggregate usage statistics to the daily or hourly level. A usage tracker for Amazon EC2 Reserved Instances (RI), billing reports, cost allocation, and data integrations are among the features.

AWS cost Explorer

For AWS subscribers, there is a billing and cost-management application called AWS Cost Explorer. It gives users access to historical and present AWS usage and charges, allowing them to manage their usage of reserved instances and predict expenditures. An ad-hoc analytics engine, built-in reporting, time interval filtering, business line grouping, forecasting tools, and saved customised reports are among the features.

AWS data lake storage

AWS Data Lake Storage is an object storage solution built for situations with both structured and unstructured data. Users can create and scale a data lake in a secure environment, launch file systems for HPC and ML applications, process large media workloads directly from the data lake, manage objects at scale and audit activities across S3 data lakes, and secure data with an infrastructure made for data-sensitive organisations. Data management, data analytics management, data security, machine learning, and data migration are among the features.

AWS data pipeline

IT specialists and network managers can use AWS Data Pipeline, a cloud-based data pipeline solution offered by Amazon Web Services (AWS). It allows customers to analyse and move data in between AWS compute and storage services (Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR), as well as on-premise data sources, at predetermined intervals. Scalability, scheduling, dependency tracking, error management, and a drag-and-drop console are among the features.

AWS database migration service

AWS Database Movement Service is a cloud-based data migration tool created for database administrators and developers. Users can make one-time migrations, duplicate ongoing changes, and migrate relational databases, data warehouses, NoSQL databases, and other data storage to the AWS cloud. The features include continuous data replication, automated infrastructure management, automatic failover, SSL encryption, support for DBMS engines (such as Oracle, Microsoft SQL Server, MySQL, MariaDB, PostgreSQL, Db2 LUW, SAP, MongoDB, and Amazon Aurora), and support for both source and target engines.

AWS dataSync

An automated data transaction management tool for IT operations is called AWS DataSync. It enables users to encrypt data and speed up transactions over wide area networks, validate data and automatically optimise network usage, streamline routine data processing workflows, replicate files into all Amazon S3 storage classes and choose storage class, manage deployment and tune heavyweight commercial transfer tools, validate data consistency, configure periodically running tasks by detecting and copying changes from the source storage system to the destination,

AWS deep learning AMIs

The AWS Deep Learning AMIs are a collection of deep learning and machine learning frameworks created for researchers and practitioners in machine learning. Users can launch instances on Amazon EC2, build and train machine learning models, deploy and use frameworks and tools, create private repositories for deep learning engines, and set up different configurations of the NVIDIA CUDA, cuDNN, and Intel acceleration libraries. Custom AI models, support for Amazon Elastic Inference, model visualisation, and predictive analytics are among the features.

AWS deepLens

AWS DeepLens is a video camera with deep learning capabilities that is intended for programmers. Through tutorials, sample code, and pre-built models, users may improve their machine learning skills. They can also do inference on the device, connect the sample projects with different AWS solutions, and execute deep learning predictions on HD video in real-time. Broad framework support, connection with Amazon Rekognition for sophisticated image analysis, and custom-built object and face identification are among the features.

AWS deepRacer

An advanced machine learning (ML) platform called AWS DeepRacer is made for programmers. It enables users to train and assess deep reinforcement learning models in simulation, test RL models by racing on a real track, navigate the track lap time, calculate when to pass another car, view the track and control throttle and steering, access the device console to operate the vehicle, and view the track and control steering. Support for Tensorflow, performance optimization, experience and policy iteration, schedule administration, and race simulation are among the features.

AWS device farm

An application testing service geared for mobile app developers is called AWS Device Farm. Users can choose the device based on attributes, view the device’s screen in the browser, simulate customer problems and test out new features, receive tests and results from IDEs automatically, and modify experiments by choosing from open-source test frameworks. Android Studio and Jenkins integration, Appium support, report customization, support for streaming videos, and network connection simulation are among the features.

AWS direct connect

In order to link an internal network (through an Ethernet fiber-optic cable) directly to an AWS location, AWS Direct Connect is a cloud-based network connection solution. To establish private connectivity between AWS and a datacenter, office, or colocation environment, lower network costs, and increase bandwidth throughput, users can build virtual interfaces that connect directly to the AWS cloud and Amazon Virtual Private Cloud. Use cases include managing massive data collections, obtaining real-time data streams, establishing hybrid environments, load balancing, and enhancing network performance.

AWS directory service

In order to run Microsoft Active Directory in the AWS Cloud, AWS created the AWS Directory Service (also known as AWS Managed Microsoft AD). IT managers may use it to move a range of Active Directory-aware apps to the AWS Cloud and control how users, groups, and devices have access to data and resources. The use of common Active Directory administration tools and features, the creation of a single directory for cloud workloads, the centralised management of application access and devices, the streamlined migration of directory-aware on-premise workloads, and the expansion of current on-premise user credentialing to access cloud resources are among the features.

AWS elastic beanstalk

Website and application developers and administrators can deploy and scale web applications with AWS Elastic Beanstalk. Users can build and target web applications to a platform, upload code, handle deployment automatically (capacity provisioning, load balancing), create and edit saved settings, and monitor the console by executing automatic health checks on EC-2 deployments. Support for Python and PHP, optimization of the command-line interface (CLI), domain administration, support for Amazon EC2 security groups, alarm monitoring, stack management, and navigation management are among the features.

AWS elemental Conductor

AWS Elemental Conductor is a tool for processing and encoding videos that is intended for content producers and distributors. Users can manage live channels across encoders, command and control video processing clusters, deploy and manage video infrastructure, determine the level of system redundancy required across video sources, and more. Version control is also made easier and software updates are pushed across clusters. Task management, redundancy switching automatically, status monitoring, fault management, and log management are among the features.

AWS elemental delta

The video packaging and origination solution AWS Elemental Delta is intended for content producers and distributors. Users can create assets from content that is being streamed live, store multiple copies of each asset, optimise content for bitrate, resolution, audio format, captions, and a variety of channels, set up and manage clusters of packagers, and specify ingestion points, content storage locations, retention windows, and content types. Features include the ability to offer videos in a variety of formats, workflow management for content monetization, job processing, workflow integration, and deployment virtualization.

AWS elemental live

AWS Elemental Live is a professional video processing platform created with content producers and distributors in mind. It enables users to deploy live video processing at the source, within the studio, or inside remote facilities. Users can also produce compressed renditions as output, capture and process live inputs, maintain optimal picture quality, and automatically adjust the encoding level within each video frame. Video workflow management, various output creation, content monetization support, portability for live events, and virtualized installations are among the features.

AWS elemental mediaConvert

For media professionals looking to transcode videos, AWS Elemental MediaConvert provides a cloud-based solution. Users can create video-on-demand (VOD) content for broadcast and multiscreen delivery, convert input video to multiple output formats, automate workload provisioning and management features, manage resource provisioning and optimization, store processed contents for distribution, as well as compute resources and notify issues by monitoring media workflow, among other things. Broadcast-grade functionality, support for ultra-high-definition quality, transcoding management, MPEG-2 support, service orchestration management, and resource provisioning automation are among the features.

AWS elemental mediaLive

AWS Elemental MediaLive is a live video processing tool for media professionals that is broadcast-quality. It enables users to install encoding resources and manage to scale automatically, find and resolve issues without disrupting live channels, produce video streams and share live broadcast video for distribution, and tweak quality settings on a per-channel basis. Support for ad markers, administration of encoding parameters, loudness correction functionality required by the FCC, interaction with Amazon CloudWatch, workload management, and management of API access are among the features.

AWS elemental mediaPackage

AWS Elemental MediaPackage is a platform for managing video packaging and origination that was created with video editors and developers in mind. With its advanced features, users can streamline the viewing experience for viewers, manage the packaging and distribution of content to video playback devices, detect and fix potential problems, track metrics (bandwidth, concurrent contacts), create endpoints for on-demand contents in the VOD packaging group, and more. Features include workload management, video encoding, HTTP Live Streaming (HLS) with MPEG-2 Transport stream support, digital rights management (DRM) integration, AES-128 encryption capability, monetization of advertisements, and support for Amazon CloudFront CDN.

AWS elemental mediaTailor

AWS Elemental MediaTailor is a platform for video editors and distributors that allows for the customisation and monetization of content. Users can create requests for advertisements with client information, set up and receive customised ad contents for decision servers, generate and manage manifest files, append and broadcast targeted advertising into video streams, automate reporting based on both client and server-side ad delivery metrics, generate and manage manifest files, and manage the risk of buffering brought on by high format and bitrate variability. Features include performance management, video streaming protocol management, scalability, over-the-top (OTT) video content support, VOD processing capability, and compatibility for Amazon CloudFront CDN.

AWS elemental server

For distributors and producers of online content, AWS Elemental Server is a file-based video workflow management system. Users can broadcast and stream content to internet-connected devices, establish, schedule, and prioritise jobs, convert video files from a variety of professional and online media formats, get ready materials for audience distribution, and expedite deployment control and management. Asset management for videos, audio processing, support for all input types, noise reduction, and temporal filtering are among the features.

AWS fargate

An Amazon ECS compute engine is called AWS Fargate. Developers can use it to operate containers without needing to control servers or clusters. Fargate does away with the need to manage cluster scheduling, select instance kinds, or maximise cluster utilisation. Scalability, high availability, integration with AWS EC2, support for AWS PrivateLink and Secrets, dual mode (Fargate launch type and EC2 launch type), and dual mode (Fargate launch type and EC2 launch type) are among the features.

AWS firewall manager

The IT security team’s solution for managing and configuring firewall rules is called AWS Firewall Manager. It enables users to build firewall rules and create security policies, delegate the creation of application-specific rules, automatically protect against DDoS attacks, deploy a firewall protection policy to block the IP address, subscribe member accounts in an AWS Organizations to AWS Shield Advanced, create, modify, and delete a service role, receive alerts when configuration changes through SNS notification streams, manage temporary credentials with IAM role, as well as a number of other features. Among the features are automated policy formulation, hierarchical rule enforcement, dashboard functionality, the ability to identify non-compliant resources, load balancing functionality, CVE patch update blocking, and risk reduction.

AWS global accelator

For AWS networks, a worldwide application performance and availability streamlining solution called AWS Global Accelerator was created. It gives users the ability to speed up transaction performance to improve request routing, test the performance advantages of a location with a speed comparison tool, establish a peering connection, update and modify client-facing applications, set a traffic dial to control the percentage of traffic, reroute user traffic to healthy endpoints, and access the AWS DDoS response team (DRT) for manual mitigations of sophisticated DDoS attacks. Features include Bring Your Own IP (BYOIP) support, fault tolerance, performance routing capability, TCP termination, scalability, and disaster recovery.

AWS glue

A managed extract, transform, and load (ETL) cloud service called AWS Glue is created for data analysts. By cleaning and normalising datasets, it enables users to develop and execute ETL operations on the Amazon Web Services (AWS) management console and analyse log data for analytics. An integrated data catalogue, automated schema discovery, code generation, development endpoints, and a job scheduler are among the features.

AWS govCloud

Government agencies and particular commercial enterprises can use the cloud-based regulatory and compliance management service known as AWS GovCloud. Users can use it to meet organisational regulatory and compliance requirements, store sensitive unclassified data files with server-side encryption in Amazon S3, optimise identity management, audit access to and use of sensitive data using AWS Cloudtrail’s keys, and protect accounts and workloads by routinely monitoring with Amazon GuardDuty. Data warehousing, fraud detection, storage, disaster recovery, and cloud backups are among the features.

AWS identify and access management

IT administrators can use the resource authentication and authorization management platform called AWS Identity and Access Management (IAM). It allows users to establish and manage AWS users and groups, securely manage access to AWS services and resources, and control access to AWS resources using permissions. Included in the features are support for SAML 2.0, policy configuration, Amazon EC2 and Redshift compatibility, identity federation, and PCI DSS Compliance.

AWS import/export snowball

The petabyte-scale data transport solution AWS Import/Export Snowball was created for the safe transfer of massive amounts of data into and out of the AWS Cloud. Users can move analytics data, genomics data, video libraries, picture repositories, and backups with its help. They can also archive a portion of data centre shutdowns, tape replacement initiatives, or application migration projects. AWS Snowball Management Console or programmatically using a task management API are two ways to manage the 80 TB model, enforced encryption, built-in shipping container, and other features.

AWS Inferentia

AWS Inferentia is an inference chip for machine learning that was created for the AWS environment. It allows users to create and train models on GPU instances, speed up inference, compile, optimise, and run machine learning models, assign models to Neuron Compute Groups and run them concurrently, and optimise hardware usage. Personalized search suggestions, dynamic pricing, automated customer service, up to 128 TOPS support, TensorFlow integration, performance optimization, support for the BFloat16 model, and cache optimization are among the features.


The industrial, consumer, commercial, and automotive industries were all targeted when developing the cloud service management and data acceleration platform known as AWS IoT. It allows users to gather, store, and analyse data, address application and device security, connect and manage microcontrollers, speed up time to market, configure devices to a local network, and receive timely notification of impending patches. Users can also identify anomalies and take action when metrics deviate from expected behaviour. AWS IoT Core, AWS IoT Device Defender, AWS IoT Device Management, AWS IoT FleetWise, and AWS IoT SiteWise are some of the modules available.

AWS ioT 1-clickIoT

AWS IoT 1-Click is a service offered by AWS that enables enterprise organisations to easily integrate low-tech IoT devices into processes. It allows users to launch AWS Lambda functions (written in Java, Python, or C#) to carry out tasks including alerting technical assistance, monitoring assets, and restocking goods and services. A set of pre-defined Lambda functions, pre-provisioning of supporting devices, the ability to group devices based on their function, location, or other criteria, a user terminal, support for iOS or Android, and pre-built reports are among the features.

AWS ioT analytics

An analytics automation tool for IoT developers is called AWS IoT Analytics. It allows for the mass collection, cleaning, processing, enrichment, storing, and analysis of linked device data. A built-in AWS IoT Analytics SQL query engine, support for time-series analyses, optimised (for IoT) data storage, tools for data preparation and filtering, integration with AWS IoT Core, and support for Jupyter Notebooks for building, training, and running machine learning models are some of the features.

AWS ioT button

An application developer-specific dash button, the AWS IoT Button is programmable in the cloud. It allows users to design and manage button clicks, count or track item usage, call or warn someone, and remotely control home appliances. Users can also arrange events to be routed to any AWS service and define and handle custom logic created in Node.js, Python, or Java in an AWS Lambda function. Along with connection with third-party APIs, features like automated emails, notifications, the blueprint wizard, and pre-configured Lambda functions are available.

AWS ioT core

The managed cloud platform AWS IoT Core was created to enable connected devices to safely communicate with other hardware and cloud applications. It allows users to collect telemetry data from various devices, store the data, and perform analysis on it. It also enables users to provide a secure, bi-directional communication between Internet-connected devices (such as sensors, actuators, embedded micro-controllers, or smart appliances) and the AWS Cloud. A device gateway, an automatically scalable message broker, an identity registry, a rules engine, and a device shadow tool are among the features. The AWS IoT device SDK, which supports C, JavaScript, and Arduino, is also included.

AWS ioT device defender

The SaaS IoT security solution AWS IoT Device Defender was created to monitor and secure IoT devices with a variety of capabilities, extended lifespans, and global distribution. It gives customers the ability to audit and enforce IoT configurations, guarantee device identification, authenticate and author devices, detect aberrant activity, reduce security risks, and quicken response in the event that a device is compromised. Along with auditing tools (for CA certificates, cognito roles, IoT policies, device certificates, logging, and device identification), features also include metrics for detecting device side behaviour.

AWS ioT device management

When it comes to securely managing the lifespan of IoT devices at scale, AWS IoT Device Management is the SaaS IoT device management solution of choice. It enables users to onboard device configuration and information, manage device inventory, keep an eye on the fleet of devices, and remotely manage and update software over-the-air on devices distributed across different geographies. The features include fleet indexing and searching, fine-grained device logging, remote management, and bulk device onboarding. Device fleet organising into a hierarchical structure (by function, security needs, or other criteria) is also included.

AWS ioT events

AWS IoT Events is a fully managed IoT service created for producers, the oil and gas sector, as well as businesses and consumer goods. It enables customers to construct complicated equipment monitoring applications on the AWS Cloud, accessible through the AWS IoT Events dashboard or APIs, monitor changes in equipment operation and trigger alerts to respond when events occur, and detect and respond to events from IoT sensors and applications. Telemetry data intake, event detection, interaction with analytics software and other AWS services, automatic scalability, and control of all that model’s connected IoT Events-connected devices are among the features.

AWS ioT greengrass

AWS IoT A software product called Greengrass gives locally linked devices access to cloud functionality. With the cloud still being used for management, analytics, and durable storage, customers may easily expand local compute, messaging, data caching, sync, and machine learning inference capabilities to edge devices. Among the features are hardware root of trust private key storage, compatibility with hardware-secured message encryption, pre-built connectors, third-party application integration, and Lambda runtime.

AWS key management service (KMS)

IT administrators can use the cloud-based encryption service known as AWS Key Management Service (KMS). Users can manage aliases, create random numbers suitable for cryptographic applications, import cryptographic data into an AWS KMS master key, tag master keys for identification and tracking, and create encryption keys and control them. Among the features are FIPS 140-2 verified cryptographic modules for protection, AWS CloudTrail integration (for auditing, regulatory, and compliance requirements), and centralised key management.

AWS lake formation

For data engineers and analysts, AWS Lake Formation is a comprehensive data lake solution. It enables users to gather and catalogue data from databases and object storage, move the data into an Amazon S3 data lake, clean the data using machine learning methods, and classify the data. It also helps users to secure the access to sensitive data. Data import from databases and outside sources, data cleaning and deduplication, data partitioning optimization, implementation of audit logging, administration of access controls, and encryption capabilities are among the features.

AWS lambda

The serverless computing platform AWS Lambda is made for engineers and software developers. Users can execute code without setting up or managing servers, using other AWS services, HTTP endpoints, or in-app activities as triggers. Custom back-end services creation, automated administration, built-in fault tolerance, automated scaling, multiple function orchestration, and an integrated security architecture are among the features.

AWS lambda@Edge

AWS Lambda@Edge is a tool for web applications that allows for the modification and deployment of content and code. Users can customise the compute resources and execution time, trigger a Lambda function to add HTTP security headers on origin responses, trigger a Lambda function to route requests to origins based on the viewer location, manage origin servers at multiple locations, set up any load balancing or domain name system (DNS) routing services, and speed up image delivery by caching the tran Search engine optimization (SEO), traffic authorization, A/B testing, calling authentication, clickstream analysis, and traffic surging management are among the features.

AWS managed services

IT managers can use the infrastructure operations management platform known as AWS Managed Services (AMS). To address the lack of skilled cloud operators, it enables users to migrate production workloads, build and maintain a repository of compliance, operational, and security guidelines, identify candidate workloads from the application pipelines, define backup schedules, frequency, and retention periods, and aggregate and store generated logs. The features include firewall administration, security monitoring, traffic management, AWS health integration, service request management, incident management, and CSDM (cloud service delivery manager).

AWS management console

AWS Management Console is a cloud-based interface for managing AWS service consoles that was created for IT teams. It allows users to see the resource and carry out operational tasks, look for and locate the necessary services, review, monitor, and interact with resources using developer tools (AWS Command Line Interface (CLI) and AWS CloudFormation templates), design and customise the console, update billing information and monitor service usage, budgets, and payments, receive a notification if costs exceed a certain level, and receive monitoring and operational data in the f Wizard automation, workflow control, dashboard functionality, user role and access control, event monitoring, CloudTrail connectivity, and tag management are among the features.

AWS marketplace

AWS Marketplace is a curated online store made for teams working in data analytics and DevOps. It gives users the ability to buy and manage third-party software, improve customer experience, forecast results and optimise solutions, monitor trends and key performance indicators, generate work orders and send teams automatically, and spot possible problems. Provisioning automation, cost management, content creation acceleration, constraint optimization, management of geographical restrictions, and licencing entitlement management are among the features.

AWS migration hub

An application migration tool called AWS Migration Hub is created with application developers and IT managers in mind. Users can access data about on-premise resources that will be moved to AWS, gather information about current IT assets, and monitor the status of application migrations. On-premises server information import, a centralised migration dashboard, integration of migration tools (including ATAmotion, CloudEndure, and RiverMeadow Migration SaaS), and migration to different AWS regions are among the features.

AWS mobile services

Mobile application development services are offered by AWS Mobile Services. These tools give developers the ability to create, test, set up, and publish mobile cloud applications, as well as authenticate users, grant access, sync data, track user behaviour, stream data, manage data, and store data. AWS Device Farm, Amazon Cognito, Amazon Pinpoint, AWS AppSync, and AWS Amplify are some of the available products.

AWS multi-factor authentication

Identity and access management platform AWS Multi-Factor Authentication is made for IT security teams. It allows users to customise security for AWS account settings and resources, install smartphone apps based on phone type, and access the AWS administration console through particular web browsers. AWS services integration, granular control, secure credential management, external identity systems, virtual MFA devices, and SMS text message-based MFA are among the features.

AWS network firewall

An IT security professional’s platform for network security, intrusion detection, and prevention is called AWS Network Firewall. Users are able to create firewall rules, import rules in open-source rule formats, add context from traffic flows, monitor fully qualified domain names, view policy compliance across accounts, and automate the remediation process. Signature-based detection is used to detect and prevent vulnerability exploits. Automation of scaling, service level agreements (SLAs), inspection management, support for transport layer security (TLS), intrusion protection, and rule management are among the features.

AWS network load balancer

Developers and IT managers can manage traffic targeting and request level (Layer 7) operations with the help of AWS Application Load Balancer (ALB). It gives users the ability to configure and direct incoming end-user traffic to applications running in the AWS public cloud based on the request’s content, access advanced request routing aimed at delivering modern application architectures, and confirm that the most recent SSL/TLS cyphers and protocols are being used. Included in the features are request tracing, user authentication, native WebSocket and HTTP/2 support, security group creation and management, AWS Outposts compatibility, and native WebSocket and HTTP/2 support.

AWS opsWorks

An IT service provider-specific configuration management software is called AWS OpsWorks. Users can design and manage stacks and applications, administer console or command line tools, automate server configurations with code, and create snapshots of a server’s configuration-related properties. On-demand job automation, change management, policy enforcement, quality assurance, support for Amazon Relational Database Service (RDS), and load balancers are some of the features.

AWS organizations

An account management tool for DevOps teams is called AWS Organizations. Users can comply with budgetary, security, and compliance standards while unifying many AWS accounts into a single, centrally managed AWS organisation. Group-based account management, aggregated invoicing, permissions based on roles, data replication, and connection with AWS Identity and Access Management are among the features (IAM).

AWS Outposts

AWS Outposts are scalable computing and storage racks constructed using hardware designed by AWS for customer data centres, co-location facilities, or on-premises facilities. Users can execute native AWS APIs and workloads on-premises along with AWS infrastructure using this. Infrastructure updates, bespoke configurations, hardware security and performance monitoring, VMware NSX integration, and single code base development and maintenance are among the features. VMware cloud and the native AWS variant are the two available variations of AWS Outposts.

AWS privateLink

An IT security team-specific cloud-based data access and security management system is called AWS PrivateLink. Users can do things like construct an interface VPC endpoint service, administer a subnet with a private IP address, receive and route service requests, grant access to particular service consumers, set up the acceptance settings, and divide traffic among the registered targets. The ability to access the AWS Marketplace as well as performance monitoring, log data analysis, traffic management, VPC peering connections, and distributed denial-of-service attack reduction are among the features.

AWS resource access manager

System administrators and DevOps teams can use the resource-sharing management tool called AWS Resource Access Manager. Users can use it to administer and distribute resources (such as transit gateways, subnets, AWS License Manager licence configurations, and Amazon Route 53 Resolver rules), use pre-existing policies and permissions set in AWS Identity and Access Management (IAM) to govern the consumption of shared resources, and view usage details for the shared resources. Features include cost optimization, billing isolation, log visualisation, interaction with Amazon CloudWatch, and AWS CloudTrail.

AWS robomaker

Robotic developers may simulate and deploy robotic applications with AWS RoboMaker, a cloud-based service. To operate the Robot Operating System (ROS), simulate and realistically test robotics applications, visualise sensor data and status information, respond to voice instructions, and traverse obstacles, as well as generate synthetic imaging data with 3D site model building algorithms. Features include the capacity to simulate several robots, CI/CD integration, fleet administration, voice and speech recognition support, the ability to segment the market for autonomous ground vehicles (AGVs), regression testing, and logs management.

AWS Schema Conversion Tool

A data migration tool called AWS Schema Conversion Tool (AWS SCT) is created for database administrators and developers. Users may automatically convert the database schema of a source database into a format suitable with the target Amazon RDS instance thanks to the project-based user interface it offers. Agents for extracting data, tools for setting up AWS DMS tasks and endpoints, an extension pack wizard (for Python libraries and AWS Lambda functions), SQL translation (to C++, C#, and Java), FIPS support, and FedRAMP compliance are among the features.

AWS Secrets Manager

For developers and IT administrators, there is a product called AWS Secrets Manager. Users can use it to centralize audits by connecting with logging and monitoring services, protect access to applications, services, and IT resources, limit access to secrets using identity and access management policies, and rotate, manage, and recover database credentials and API keys. Automatic secret rotation, programmable secret retrieval, secure secret storage, and compliance are among the features.

AWS Security Hub

For the IT security team, AWS Security Hub offers a platform for managing and automating security alarm checks. It enables users to create an insight to identify instances, view high-priority security alerts and security postures, collect and consolidate findings, automate account and resource-level configuration and security controls, design a custom response and remediation workflows, transmit findings to SIEMs, chat tools, and ticketing systems, trigger response and remediation activities, as well as send and receive findings from integrated third-party products. Other features include task management, time optimization, response customization, dashboard functionality, and connectivity with APN security solutions. PCI DSS automation and Check Point integration are also included.

AWS Server Migration Service

An agentless workload migration tool for transferring on-premise workloads to AWS is called AWS Server Migration Service. It enables users to design and manage replication schedules, automate, plan, and monitor incremental replications of live server volumes, keep tabs on the status of migrations, and reduce downtime. AMI generation, migration progress monitoring, multi-server migration orchestration, proactive monitoring, and data masking are among the features.

AWS Service Catalog

AWS Service Catalog is a feature of AWS that enables centralized management of catalogues of IT services such virtual machine images, servers, software, and databases from a single location. It gives users the ability to manage the IT services and versions that are offered, their configuration, and permission access by person, group, department, or cost centre. The use of a self-service portal by end users allows them to find and implement authorized IT services.

AWS shield

Applications running on Amazon Web Services can use the managed Distributed Denial of Service (DDoS) protection service known as AWS Shield (AWS). It allows users to keep an eye on network traffic and defend web applications running on the AWS public cloud against DDoS attacks. Always-on network flow monitoring, inline attack mitigation, visibility and attack notification, root cause analysis, and DDoS cost protection are among the features. AWS Shield Advanced and Standard are examples of modules.

AWS Single Sign-On

An IT organization’s solution for managing AWS accounts and cloud applications is called AWS Single Sign-On (SSO). Users can set up the system for cross-domain identity management (SCIM) 2.0 connection, track multiple account credentials for AWS applications, as well as decide the level of security and examine the sign-in context. It also allows users to organise accounts under organisational units (OUs), create AWS accounts and develop a variety of permits, provision users and groups from an external identity provider into AWS SSO and manage access permissions. AWS CLI integration, Microsoft AD directory support, IAM identity provider, user access control, compliance validation, and support for SAML attributes are among the features.

AWS Snowball

AWS Snowball is an edge computing and data migration tool made specifically for database and storage administrators. It enables users to construct and track the progress of job completion, create and execute applications on devices in remote locations, collect, pre-process, and return data, transmit many terabytes of data across multiple devices, and modify and propagate machine learning models. Dataset analysis, machine learning, file-sharing protocols, data migration, block storage administration, and data encryption are among the features.

AWS Snowball Edge

AWS Snowball Edge is an edge computing and petabyte-scale data migration device built for remote or sporadic connectivity scenarios. It gives consumers the ability to move and transmit data on the order of petabytes, compile photos, record IoT sensor streams, and use it for machine learning applications. Features include safe erasure and tamper evident, encryption, end-to-end tracking, clustering, GPU support, NFS endpoint functionality, and data transfer tools. Both a Storage Optimized option (100 TB of storage, 24 vCPUs, and 1 TB SSD) and a Compute Optimized option are offered for AWS Snowball Edge (52 vCPUs, an optional GPU, 7.68 TB NVMe SSD, and 42 TB of storage).

AWS Snowmobile

An exabyte-scale data transmission service called AWS Snowmobile was created for IT businesses. It lets users to collect, store, and retrieve large amounts of data, regulate physical and security access, and safeguard data with several layers of security. Users can also relocate video collections, image repositories, or data centre migrations to the cloud. GPS tracking, alarm monitoring, 256-bit encryption keys, video surveillance, and data encryption are among the features.

AWS Step Functions

For data centres and IT teams, AWS Step Functions is a serverless application orchestrator built on the cloud. It enables users to automate triggers, keep track of each step, decouple application workflow logic from business logic, build databases and queues for communication between serverless functions, synchronise microservices and distributed applications using serverless workflows, create Lambda functions for each task, and more. State management, visual monitoring, automatic scaling, built-in service primitives, coordination of distributed components, error handling, and workflow setup are among the features.

AWS Storage Gateway

End-to-end hybrid cloud storage solutions called AWS Storage Gateway are created for storage management. These products allow users to manage data security gateways, generate virtual tapes by utilising the storage gateway console, begin, delete, and restore snapshots on a scheduled or one-time basis, build virtual tapes by adding tape cartridges to archives, and decide how much disc space to assign. Performance management, encryption and bandwidth management, cross-region replication, lifecycle management, and data transfer optimization are among the features. AWS Identity and Access Management (IAM) is also leveraged. Tape Gateway, File Gateway, and Volume Gateway are examples of solutions.

AWS Systems Manager

A cloud-based infrastructure management tool for IT applications is called AWS Systems Manager. Users can select a resource group and view functionalities such as API activity, notifications, operational alerts, and patch compliance status. They can also centralise data and automate tasks across various resources, manage hybrid cloud systems through a single interface, gather software configuration and inventory information, and select a resource group. The insights dashboard, run, inventory, maintenance window, session manager, parameter store, and state manager are among the features.

AWS transfer for SFTP

The secure file transfer protocol (SFTP) service management tool AWS Transfer for SFTP was created specifically for the AWS environment. It enables users to manage server-side encryption with Amazon S3, share data with subscribers, configure SFTP endpoints, store and manage user credentials, transfer files directly into and out of Amazon S3, store and manage compliance requirements with granular auditing of user and API activities, and configure SFTP endpoints. Among the features are infrastructure management, auto-scaling capability, Route 53 DNS routing support, workflow analytics, data processing ability, auditing operation optimization, user authentication capability, and load management.

AWS transit gateway

The virtual private cloud and account connecting tool AWS Transit Gateway was created for AWS networks. It enables users to create and manage connections from the central gateways and identify bandwidth usage between Amazon VPCs and a VPN connection, encrypt inter-region traffic, send data and manage the multicast application, capture information on the IP traffic routing, share resources to replicate data for geographical redundancies, determine hop on the destination IP address of the packets, and determine network or routing connection changes. Provisioning automation, dynamic and static layer routing, monitoring of edge connectivity, network load balancing capability, domain name management, traffic optimization, legacy management, IAM integration, and automation of SD-WAN connections are features.

AWS trusted advisor

An application for managing the AWS environment in the cloud called AWS Trusted Advisor is made for security operations. Users can use it to streamline the robustness of the AWS solution, design applications based on Trusted Advisor’s recommendations, establish workflows, examine the functionality of the AWS environment, monitor recent modifications, and verify status on the console dashboard. Notifications from trusted advisors, action links, access control, an AWS support API, and programmatic access are among the features.


Web application firewall AWS WAF is created for network administrators and IT security experts. It gives users control over how traffic gets to the applications by allowing them to create security rules that control bot traffic, block common attack patterns like SQL injection or cross-site scripting, and customise rules that filter out particular traffic patterns. Users can protect web applications or APIs against common web exploits and bots that may affect availability, compromise security, or consume excessive resources. Web traffic visibility, skew metrics analysis, REST API support, latency control, Amazon CloudWatch support, and DNS setup support are among the features.

AWS x-Ray

A distributed tracing system called AWS X-Ray is made for distributed systems, including those created using a microservices architecture. In order to pinpoint and resolve the underlying causes of performance problems and mistakes as well as reveal opportunities for optimization, it enables developers to comprehend how applications and underlying services are operating. End-to-end tracing, integration with AWS IAM, support for Node.js, Java, and.NET, request sampling, service maps, server- and client-side latency detection, data annotation and filtering, console and programmatic access, and support for AWS services and databases (EC2, Amazon ECS, AWS Lambda, and AWS Elastic Beanstalk) are among the features.

cloudEndure disaster recovery

For IT security teams, CloudEndure Disaster Recovery is a backup and recovery solution. It enables users to transfer workloads to AWS and run them there, automate machine conversion and orchestration, manage fully provisioned workloads, set up, maintain, monitor, and test disaster recovery processes, and detect and debug server corruption, data centre problems, and cyberattacks. Replication of workloads, cross-region disaster recovery, live migration, performance monitoring, and infrastructure support are among the features.

contact lens for amazon connect

A real-time contact centre analytics tool called Contact Lens for Amazon Connect is made for customer service and customer experience representatives. Users can use it to analyse call transcripts, set rules to highlight problems with the customer experience, track the compliance of customer discussions in the contact centre, and understand the sentiment and patterns of customer talks. Sentiment analysis, conversational search, full-text transcript search, real-time notifications, automated contact classification, and scorecards are among the features.


For application developers, there is open-source virtualization software called Firecracker. Users can deploy workloads in lightweight virtual machines (microVMs), execute serverless functions, and interface with container ecosystems using this tool, which enables users to construct and administer secure, multi-tenant container and function-based services. Included in the features are a minimum device model, minimal guest kernel setup, rate limiters configuration, logging and metric system administration, and CPU template management. MicroVM generation rates of up to 150 per second per host are also supported.

tensorFlow on AWS

A deep learning framework for application developers and data scientists is called TensorFlow on AWS. Users may manage customised settings and workflows, construct, train, and deploy machine learning models, comprehend, debug, and optimise apps, fix GitHub code errors, and speed up the creation of AI-based applications. Features include speech translation, process automation, data visualisation, application development, natural language comprehension, and custom environment management.

VMware Cloud on AWS

An integrated cloud computing solution created for data centres is VMware Cloud on AWS. It enables customers to manage VMware provisioning, storage, and lifecycle policies, move applications between on-premises environments and AWS, migrate and run the SQL server database, and streamline hybrid IT operations. Datacenter evacuation, disaster recovery, access management, resource use, and policy management are among the features.

Published Date:18/08/2022