Concepts
Noemata is agent-first, which makes it a more flexible and powerful Observability platform, but it also means it uses different concepts than you might be used to.
Most of it revolves around three concepts:
- Frames translate machine data into a meaningful semantic layer. A frame is defined by a view — a description of what your data means — and visualized through blocks and expressions, a declarative language for rich, interactive dashboards. Frames model entities — e.g., a service, or a host, but also models, users, and versions — things that exist in the real world. This allows us to build more meaningful UIs, alerting, and incident detection than flat dashboards.
- Everything is a file. Frames, queries, notes — your whole workspace is a store of human-readable, versioned, and searchable files. That makes it reviewable, diffable, and the right place for humans and agents to meet.
- Integrations enable one-click onboarding. Noemata automatically detects and instruments software you use, and installs dashboards and other content when you run
noemata up. That gets you started quickly, with a library of high-quality templates for you and your agent to build from.