Keep is an open-source AIOps and alert management platform designed to consolidate alerts from multiple monitoring tools into a unified interface. It solves the problem of alert fatigue by providing deduplication, correlation, enrichment, and bi-directional integrations with over 30 observability tools. Built in Python, Keep enables engineering and DevOps teams to reduce noise, accelerate incident response, and automate remediation workflows without vendor lock-in. It’s ideal for organizations using heterogeneous monitoring systems like Datadog, Prometheus, Grafana, CloudWatch, and others who need a centralized, extensible platform to manage alerts at scale.
Keep goes beyond basic alert aggregation by incorporating AI backends—such as OpenAI, Anthropic, Ollama, and Gemini—to automatically summarize incidents, correlate root causes across systems, and enrich alerts with contextual data. This makes it especially valuable for teams managing complex microservices architectures or multi-cloud environments where alerts are fragmented and context is lost across tools.
What You Get
- Single pane of glass - Unified UI to view, filter, and manage alerts from Datadog, Prometheus, CloudWatch, Grafana, New Relic, Dynatrace, and 30+ other tools in one dashboard.
- Alert deduplication & correlation - Automatically group similar alerts from multiple sources, reducing noise and identifying root causes using rules and AI-powered analysis.
- Enrichment with AI backends - Use OpenAI, Anthropic, Ollama, or Gemini to auto-generate incident summaries, suggest root causes, and pull context from logs or past incidents.
- Bi-directional integrations - Sync alerts in and out of tools like Slack, PagerDuty, Jira, GitHub, and more—update incidents in your ticketing system directly from Keep.
- Workflow automation - Define custom workflows using YAML to automate alert handling, e.g., auto-create Jira tickets on critical alerts or notify Slack channels based on severity.
- Extensible provider system - Add new monitoring tools via community-contributed providers or build your own with Keep’s plugin architecture.
Common Use Cases
- Building a multi-cloud observability stack - Consolidating alerts from AWS CloudWatch, GCP Monitoring, Datadog, and Prometheus into a single dashboard to reduce tool sprawl.
- Reducing alert fatigue in microservices - Correlating spikes in service latency across 10+ services using AI to identify whether it’s a database issue, network problem, or deployment anomaly.
- Problem → Solution flow: Too many false positives from monitoring tools → Keep deduplicates and enriches alerts with AI context to prioritize only actionable incidents
- DevOps teams managing hybrid monitoring setups - Using Keep to unify alerts from legacy systems (like Nagios/Checkmk) and modern tools (like New Relic or OpenSearch), enabling consistent incident response workflows.
Under The Hood
The Keep project is a unified alerting and incident management platform that bridges monitoring tools with intelligent workflow automation. It emphasizes extensibility through a provider-driven architecture and offers AI-assisted alert correlation to improve incident response. The system is built with a modular monolithic design that supports multi-tenancy and flexible authentication.
Architecture
Keep follows a modular monolithic architecture with distinct separation between UI, API, and provider components.
- Core domains such as alerts, incidents, workflows, and providers are clearly delineated with well-defined boundaries
- The system supports multi-tenancy and flexible authentication mechanisms to accommodate diverse deployment scenarios
- Extensibility is achieved through a standardized provider interface that enables integration with various monitoring systems
Tech Stack
The project is a modern full-stack application leveraging Python and TypeScript/JavaScript.
- The backend is powered by Python, while the frontend uses TypeScript/JavaScript with Next.js as the primary framework
- Key frontend libraries include React 19, Tailwind CSS, and Sentry for error tracking, ensuring a robust UI experience
- The tech stack supports containerization with Docker and deployment across Vercel and Kubernetes environments
- Comprehensive testing is implemented using Jest and Next.js utilities, with extensive documentation coverage for components and APIs
Code Quality
The codebase reflects a mature testing strategy with consistent patterns and error handling.
- Extensive test coverage is present across components and workflows, supporting reliable system behavior
- Error handling is implemented consistently with widespread use of try/catch blocks in key configuration and documentation files
- Code structure maintains clear separation of concerns, though some technical debt is evident in complex integration points
- Type safety is ensured through TypeScript usage and linting configurations that enforce code quality standards
What Makes It Unique
Keep stands out through its innovative approach to alerting and workflow automation in incident management.
- The platform introduces an AI-assisted alert correlation engine that enables semantic deduplication and intelligent rule-based alerting
- A provider-driven architecture allows seamless integration with a wide variety of monitoring tools and services without requiring custom code
- Workflow automation is enhanced by AI-powered context enrichment, enabling self-healing systems that learn from historical patterns
- The project emphasizes developer experience with a rich CLI and modular documentation that streamline onboarding and customization