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Blog post from Datadog

Post Details
Company
Date Published
Author
Gaurab Aryal, Mallory Mooney
Word Count
906
Company Posts That Month
19
Language
English
Hacker News Points
-
Post removed?
No
Summary

Datadog's Continuous Profiler provides detailed insights into application code performance by measuring execution time and resource utilization. The profiler allows continuous capture of code profiles for all production instances, enabling users to compare profiles in the profile comparison view to identify and optimize inefficient code. This helps manage compute costs and resolve performance bottlenecks that affect user experience. The profile comparison view also quantifies changes made to fix a performance issue, allowing users to calculate estimated savings on production infrastructure costs. It efficiently troubleshoots root causes behind performance blind spots at the method level, detecting regressions such as increased heap memory size or service latency. Additionally, it helps identify the cause of increased latency for service endpoints and compares code performance between releases. Overall, Datadog's Continuous Profiler enhances visibility into code performance, enabling users to diagnose issues, optimize costs, and deploy fixes more effectively.

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