Synthetic monitoring is a way to see the performance of SaaS and web apps and networks using scripting to emulate the paths that end users take as they experience an app.
You might think you know everything about performance testing and automation. Read this review of common misconceptions and pitfalls; how does your testing measure up?
HDF collects, curates, analyzes, and delivers real-time data to data stores quickly and easily. It can be used with Spark Streaming and Solr to process weather events.
ELB logs are a valuable resource to have on your side. But it is being able to aggregate and analyze them with ELK that really allows you to benefit from the data.
There are many ways to integrate CloudWatch with the ELK Stack. See how to use a Lambda function to send logs directly from CloudWatch into the Logz.io ELK Stack.
Choosing the right set of automation tools is paramount in successful test automation. Find an overview of various tools strengths and weaknesses here.
Learn how to make sense of IaaS architecture, identifying API usage in apps, monitoring external services, dependencies, and APIs, and tackling dependencies.
If you’re using Docker, the combination of Prometheus and Grafana offers an extremely enticing option to explore for reasons of ease of use and functionality.
Performance is just as important as functionality. Virtualized services, multiprotocol test harnesses, and synthetic data help teams execute and scale performance tests.
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