LongBOARD: Real-time visualization of QA performance & load testing
Orienteed
Price: Typical Total Price$0.646/hrTotal pricing per instance for services hosted on t2.medium in US East (N. Virginia). View Details
Product Overview
LongBOARD is a set of dashboards powered and developed by Orienteed; they provide real-time visualizations of the results obtained during the execution of the performance and load tests.The platform behind the dashboard is Grafana + ElasticSearch + LogStash.LongBOARD consists of 3 main parts:Logstash: This is a pipeline for collecting, filtering and sending the results generated from the execution of the performance/load test.3 dashboards in Grafana where you can visualize, in real time:-- A summary of the results-- Statistics of the requests-- An analysis of the errorsA configuration dashboard allowing to upload JMeter script, CSV data pools, configure JMeter environment variables, start and stop the stress test.
Version: 2.0
By: Orienteed
Categories: Monitoring
eCommerce
Analytic Platforms
Operating System
Linux/Unix, Amazon Linux 2
Delivery Methods
Amazon Machine Image
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Highlights: Dashboard for stress tests monitoring. Visualization of data associated with errors and transations. Real time results. Alternative to BlazeMeter, allowing to upload JMeter script, CSV data pools, configure JMeter environment variables, start and stop the stress test.
Category: Infrastructure Software
Delivery Method: Amazon Machine Image
Company Information
Company Name: Orienteed
About Company: We are one of Europe leading ecommerce development companies specializing in scalable ecommerce solutions for B2C, B2B and B2B2C business models. We fully integrate the entire business ecosystem within the sphere of ecommerce, such as commercial management, logistics, and production systems. We have in depth knowledge of all aspects of the online shopping experience and consumer behavior. We apply strategies that best fit the vision of each business, incorporating innovative technological solutions and modern development processes.