Observe FAQs

Question 1

What key features does Observe offer for Prometheus, OpenObserve, and SkyWalking?

Accepted Answer

For Prometheus, Observe provides metric discovery, PromQL linting, and query execution. For OpenObserve, it enables log stream listing, schema inspection, and SQL log queries. For SkyWalking, it offers GraphQL APIs to explore layers, services, instances, endpoints, and trace details.

Question 2

What is Observe and its core purpose?

Accepted Answer

Observe is a Model Context Protocol (MCP) server designed to centralize and simplify observability data exploration. It unifies metrics from Prometheus, logs from OpenObserve, and traces from SkyWalking into a single platform for comprehensive insights.

Question 3

How does Observe help in exploring distributed system data?

Accepted Answer

By integrating metrics, logs, and traces from diverse sources like Prometheus, OpenObserve, and SkyWalking, Observe provides a unified API to explore and correlate data across your distributed system, streamlining root cause analysis and performance monitoring.

Question 4

Can Observe handle business-friendly naming for my observability queries?

Accepted Answer

Yes, Observe supports configurable alias resolution for Prometheus queries, allowing you to use business-friendly terms that translate to complex PromQL. It also enhances OpenObserve stream cataloging with descriptions and keywords for easier discovery.

Question 5

What are the deployment options for the Observe MCP server?

Accepted Answer

The Observe MCP server can be run as a standalone application. It supports different transport mechanisms including stdio, streamable-http, and Server-Sent Events (SSE), offering flexibility for integration into various environments.

Observe

Observe

Key Features

Use Cases

Key Features

Use Cases