Observability FAQs

Question 1

Which observability platforms does it integrate with?

Accepted Answer

It integrates with Grafana for Loki log queries (using LogQL) and with Prometheus or Thanos for metric queries (using PromQL). A combined server option offers unified access to both log and metric data.

Question 2

What types of queries can AI assistants perform using Observability?

Accepted Answer

AI assistants can perform a range of queries, including LogQL range and instant queries for Loki logs, and PromQL instant and range queries for Prometheus/Thanos metrics. They can also list available labels and time-series.

Question 3

What authentication methods does Observability support?

Accepted Answer

It offers robust authentication options including browser-cookie SSO (for Grafana), service-account tokens, static session cookies, and OIDC via kubeconfig, ensuring secure and flexible access to your data sources.

Question 4

What is Observability (observability-mcp)?

Accepted Answer

Observability is an MCP (Model Context Protocol) server designed to connect AI assistants directly to your observability stack. It enables AI clients to query logs from Grafana/Loki and metrics from Thanos/Prometheus programmatically.

Question 5

How does Observability connect with AI assistants?

Accepted Answer

Observability utilizes the Model Context Protocol (MCP) to expose your observability data to MCP-compatible AI clients, such as Cursor and Claude Desktop. This allows AI to understand and execute queries against your logs and metrics.

Observability

Observability

주요 기능

사용 사례

주요 기능

사용 사례