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Improve performance and reliability with APM Recommendations

Blog post from Datadog

Post Details
Company
Date Published
Author
Anthony Lagana, Aaron Weber, Yoann Robin
Word Count
883
Language
English
Hacker News Points
-
Summary

Datadog APM Recommendations is a tool designed to enhance application performance and reliability by analyzing telemetry data from various Datadog services, including Application Performance Monitoring, Continuous Profiler, Real User Monitoring, and Database Monitoring. It provides actionable insights by identifying performance, reliability, and resource efficiency issues, explaining their significance, and offering guidance on resolving them before they escalate. This system detects common anti-patterns, such as N+1 database queries and repeated sequential API calls, and presents them in a centralized view to facilitate assessment across teams, services, and environments. Recommendations are prioritized based on forecasted business impact and user effect, with detailed context provided to aid in triage and assigning ownership. The tool also tracks ongoing recommendations, allowing teams to monitor progress and systemic inefficiencies over time, ultimately enabling proactive optimization and reducing the risk of incidents by addressing issues before they affect users.