Observability and telemetry work together to correlate the health of individual systems with the overall health of the business, highlighting what’s going on within the complex systems, processes, and microservices of an entire tech stack and/or application — purely from the existing data streams collected. In this Refcard, explore the fundamentals of full-stack observability and key components of the OpenTelemetry standard.
Making sense of the average, standard deviation and percentiles in performance testing reports.
There are certain performance testing metrics that are essential to understand properly in order to draw the right conclusions from your tests. These metrics require some basic understanding of math and statistics, but nothing too complicated. The issue is that if you don’t understand well what each one means or what they represent, you’ll come to some very wrong conclusions.
Performance bugs are never good.
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The Lifecycle of a Testing Bug
You probably experienced this: you made a new release, everything works, but in production, it turns out much slower than expected. It behaves completely differently. Customers complain. Managers want you to wave a magic wand to conjure the problem away. It's not that easy.
