Prometheus Metrics and Monitoring
Prometheus-style monitoring collects measurements from applications, services, and infrastructure, then stores them as time-stamped data series. Teams use these metrics to understand system behavior, spot performance changes, investigate incidents, and define conditions that trigger alerts. This approach supports both short-term troubleshooting and long-term analysis of reliability and resource use.
Open source tools in this area include metric collectors, query and visualization interfaces, alerting systems, and integrations for common infrastructure. When choosing tools, consider their maturity, license, maintenance activity, storage needs, query model, and compatibility with your existing systems. These tools are useful for developers, site reliability engineers, platform teams, and organizations that need visibility into services across environments.
2 repositories · updated October 3, 2026
agent-observability: Self-Hosted Observability for AI Coding Agents
agent-observability offers a robust, self-hosted OpenTelemetry stack designed for AI coding agents like Claude Code and OpenAI Codex. It ensures all telemetry data, including model requests, tool executions, and session activity, remains local within your environment. This comprehensive solution provides ready-made Grafana dashboards for deep insights into agent performance and usage.
OpenCost: Open Source Cost Monitoring for Kubernetes and Cloud
OpenCost is an open-source tool providing comprehensive cost monitoring for Kubernetes workloads and multi-cloud environments. It offers real-time visibility into resource allocation and cloud spend, enabling teams to optimize costs across AWS, Azure, and GCP. This CNCF project promotes cost transparency in complex cloud-native setups.