Instana Blog

Author: Dmitri Melikyan

Continuous Application Profiling in Production
Profiling
Python CPU analysis is now part of Instana's continuous always-on production profiling.
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Continuous Application Profiling in Production
Announcement, Product
With StackImpact's Production Profilers now available as part of Instana's APM solution, the EOL date for StackImpact is Aug 31, 2020.
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Continuous Application Profiling in Production
Conceptual, Product, Thought Leadership
By continuously collecting profiles from all application processes, we now have historical and current profiles accessible anytime by anyone in the team.
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Continuous Application Profiling in Production
Profiling
There are numerous benefits to being able to profile Java applications in production.
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Continuous Application Profiling in Production
Profiling
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
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Continuous Application Profiling in Production
Profiling
Here's an effective way to make sure your code is performing optimally - execute active benchmark profiles.
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Continuous Application Profiling in Production
Profiling
Here's a lengthy list - WITH CODE - for key benchmarks you can execute and profile your production Go application.
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Continuous Application Profiling in Production
Profiling
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,
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Continuous Application Profiling in Production
Profiling
First thing you check when you start profiling your node.js code? CPU utilization, or more accurately, OVER-utilization.
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