Chronosphere Introduces AI-Guided Troubleshooting for Faster Incident Resolution

November 10, 2025
Chronosphere has launched AI-Guided Troubleshooting, combining AI-driven insights with a Temporal Knowledge Graph to help engineers identify and resolve production issues more efficiently. The feature includes suggestions, investigation notebooks, and natural language assistance, with full availability planned for 2026.

Chronosphere has introduced AI-Guided Troubleshooting, a new set of observability capabilities designed to help engineering teams investigate and resolve production incidents more efficiently, announced in a press release.

The new system combines AI reasoning with a Temporal Knowledge Graph, a continuously updated map of an organization's services, dependencies, and telemetry. This integration provides detailed context for root-cause analysis and delivers data-backed suggestions to guide engineers through investigations.

AI-Guided Troubleshooting includes four main components: Suggestions that offer likely causes in plain language, a Temporal Knowledge Graph for system context, Investigation Notebooks to document and reuse investigative steps, and Natural Language Assistance to simplify data exploration. The platform also explains its reasoning at each stage, allowing engineers to maintain control while AI accelerates the process.

Chronosphere also announced the general availability of its Model Context Protocol (MCP) Server, which enables integration with AI tools such as Codex and PromptIDE. The AI-Guided Troubleshooting features are currently in limited release, with full general availability expected in 2026.

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