Grafana and Open Source Observability
Grafana is an approach to exploring operational data through dashboards, queries, and visualizations. It helps teams bring metrics and other telemetry from different systems into a shared view, making it easier to spot changes, investigate problems, and communicate system health. Alerting can notify people when data crosses defined thresholds, supporting faster responses to incidents and performance issues.
Open source tools in this area include dashboard builders, data-source integrations, query and visualization tools, and alerting components. When choosing one, consider its maturity, license, maintenance activity, data-source compatibility, deployment requirements, and how it fits existing workflows. These tools are useful to developers, operators, analysts, and organizations that need to understand service behavior, track performance, or build monitoring capabilities they can adapt and run themselves.
3 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.
mcp-grafana: An MCP Server for Seamless Grafana Integration
mcp-grafana is a Model Context Protocol (MCP) server designed to provide comprehensive access to your Grafana instance and its surrounding ecosystem. It enables powerful programmatic interaction with Grafana dashboards, datasources, alerting, and more, facilitating advanced automation and integration with AI assistants.
Grafana: The Open and Composable Observability and Data Visualization Platform
Grafana is a powerful open-source platform designed for monitoring and observability. It enables users to query, visualize, and set alerts on metrics, logs, and traces from diverse data sources. This platform helps teams create dynamic dashboards, fostering a data-driven culture through shared insights.