Core Concepts

Understand the key concepts and building blocks that make up the OpsWorker platform.

The core unit of work in OpsWorker. An investigation is an AI-driven analysis triggered by an alert that produces root cause and remediation.

Signals are normalized alert events that enter OpsWorker from monitoring systems. Understand how they are ingested and processed.

Per-cluster filters that control which incoming signals trigger investigations, based on namespace, severity, and label patterns.

Capability-gated AI agents for Kubernetes, source control, and metrics collaborate to gather data and drive investigations and chat.

The lightweight in-cluster agent that collects Kubernetes data on behalf of OpsWorker's AI during investigations and chat.

Workspaces group clusters into logical boundaries within your OpsWorker organization, for example by team or environment.

Clusters are the Kubernetes environments you connect to OpsWorker. Each cluster runs an agent and is scoped to a workspace.

Persistent context layered across personal, cluster, and organization scopes. The AI loads memory in every investigation and chat session.

Dashboard views of alert volume, completed investigations, and estimated time saved derived from your OpsWorker data.