A k6 load test can generate a ton of data. Without a way to organize the data, you'll struggle to analyze test results. Fortunately, there are many ways to turn results into data-rich visualizations.

Screen sharing is not just common nowadays, it is present in many different apps we use. Webinar applications allow presenters to share their screen with the audience, video calling and conferencing apps allow sharing your screen to show other attendees the information you need to share, e-learning is a lot more effective when teachers can see what’s happening with their student’s screen, the list goes on and on.

Software development is entirely different today than it was a few years ago. Back then, we usually had a big monolith running on our own hardware. We mainly did performance tests to see if the hardware resources were sufficient to handle the load. Today, we develop software in a distributed environment with multiple services which may even run on different cloud platforms. With performance testing, we try to identify performance and resilience issues in these kinds of environments.

During crucial performance testing session we need to monitor and measure various parameters/metrics to be able to analyze and understand why the application behaves in a certain way under a specific load. Below ones are the most used metrics collected during performance testing sessions.

Software developers try to implement applications that not only is responsive and fast with a very small number of users but also with multiple users using the application. To be able to measure this we need to rely on different types of performance testing. Performance testing should be an integral part of the agile release manifesto.

With over a billion more mobile devices projected to become connected over the next year, it’s never been more important to ensure SLA performance and functional reliability for business-critical APIs. While QA, development, and SRE teams have traditionally relied on API load testing and uptime or ping monitors to mitigate performance risk, too many companies have felt the pain of APIs, mobile apps and web platforms failing under stress or unexpected traffic patterns.