Profiling
1. Profiling
Finally, let's cover the last feature of Google Cloud Observability in this module, which is the profiler. Poorly performing code increases the latency and cost of applications and web services every day. Cloud Profiler continuously analyzes the performance of CPU or memory-intensive functions executed across an application. While it's possible to measure code performance in development environments, the results generally don't map well to what's happening in production. Many production profiling techniques either slow down code execution or can only inspect a small subset of a codebase. Profiler uses statistical techniques and extremely low-impact instrumentation that runs across all production application instances to provide a complete picture of an application's performance without slowing it down. Profiler allows developers to analyze applications running anywhere, including Google Cloud, other cloud platforms, or on-premises, with support for Java, Go, Node.js, and Python.2. Let's practice!
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