Instana Blog

Python CPU analysis is now part of Instana's continuous always-on production profiling.

With StackImpact's Production Profilers now available as part of Instana's APM solution, the EOL date for StackImpact is Aug 31, 2020.

By continuously collecting profiles from all application processes, we now have historical and current profiles accessible anytime by anyone in the team.

There are numerous benefits to being able to profile Java applications in production.

One of the primary code-level issues that can impact your end users is a memory leak. Detecting leaks is difficult - identifying the root cause even harder - that's why we've got production profiling

Here's an effective way to make sure your code is performing optimally - execute active benchmark profiles.

Here's a lengthy list - WITH CODE - for key benchmarks you can execute and profile your production Go application.

With extremely complex application systems, microservices and a polyglot of programming languages, it's an absolute requirement to have code-level visibility into production Go Applications,

First thing you check when you start profiling your node.js code? CPU utilization, or more accurately, OVER-utilization.