APM strives to detect and diagnose complex application performance problems to maintain an expected level of service. APM is “the translation of IT metrics into business meaning ([i.e.] value).”
Developer-first error tracking and performance monitoring
Datadog Python APM Client
Runbook automation platform with deep observability integrations for SRE & On-Call Teams
The Python agent for Apache SkyWalking
To get started, please proceed to The Splunk Observability Cloud Workshop Homepage.
ScoutAPM Python Agent. Supports Django, Flask, and many other frameworks.
🐍 Python Distributed Tracing & Metrics Sensor for Instana
Performance and cost benchmark tool for AWS Lambda on memory sizes 📈⏱
Centralized multi-cluster Kubernetes observability platform — real-time dependency mapping, impact analysis, change detection, and security monitoring across all your clusters, powered by eBPF
Lightweight Django middleware for APM-style request profiling (DB vs App time, query count)
Scout’s local MCP puts metrics, traces and errors right in your AI agent. For teams that do it all.
Enables custom tracing of Python applications in Dynatrace
Utilities and wrappers for using AWS X-Ray with Python
Markdown that steers an LLM is code. Genesis is the architectural layer for designing multi-agent, multi-skill systems -- with named patterns, contracts, and substrate portability, before you write them.
MCP server for Coroot observability platform - integrate monitoring, troubleshooting, and configuration tools with AI agents