OpsWorker Documentation

Explore how you can use OpsWorker to resolve production incidents and development issues with AI that understands your code, infrastructure, and telemetry.

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🚀 Get Started

Learn what OpsWorker is, understand core concepts, and get your first AI-powered investigation running in minutes.

Start here →

🔧 Setup & Onboarding

Connect your Kubernetes clusters, link your alerting systems, and configure OpsWorker for your environment.

Setup guide →

💡 Use Cases

Discover how OpsWorker helps investigate incidents, debug production issues, reduce alert noise, and measure engineering efficiency.

Explore use cases →

⚡ Platform Capabilities

Deep-dive into AI-powered Investigations, AI Chat with Production, Alert Intelligence, Recommendations, and Operational Insights.

Explore capabilities →

🔗 Integrations

Connect with Kubernetes (EKS, AKS, GKE), Prometheus, Grafana, Datadog, Slack, GitHub, GitLab, and your own LLM.

Browse integrations →

⚙️ Configuration

Manage workspaces, users & access control, SSO, clusters, alert rules, and notification routing.

Configure →

🏗️ Architecture & Deployment

Understand the system design, data flow, security model, and available deployment options including SaaS and private cloud.

Learn architecture →

🤖 Kubernetes Agent

Install and configure the OpsWorker Kubernetes Agent that powers cluster-level intelligence, RBAC, and data collection.

Agent docs →

🛠️ Operations

Upgrade, troubleshoot, and maintain your OpsWorker deployment. Includes version compatibility and health checks.

Operations →

❓ FAQ

Answers to common questions about getting started, security, billing, troubleshooting, and integrations.

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