Keep is an open-source AIOps platform that manages alerts and incidents at scale, providing a single pane of glass, bidirectional integrations, automation workflows, and AI-driven correlation.
The platform supports over 110 integrations across categories like observability tools, databases, communication platforms, and incident management systems. It uses Common Express Language for advanced querying and rule-based grouping to reduce noise. The workflow engine, based on YAML with a UI, allows automation such as enriching alerts, updating tickets, and executing scripts.
Enterprise features include AI for alert correlation and summarization, based on past incidents and knowledge bases. Deployment options cover self-hosted, cloud-managed, and on-premises setups. Pricing starts free for open-source, with paid tiers offering more workflows, integrations, and support.
Competitors include BigPanda for similar AIOps correlation, PagerDuty for alert management, and OpsGenie for incident response. Keep’s open-source model provides cost advantages over these proprietary solutions, though paid plans are needed for advanced AI.
Users benefit from reduced alert fatigue through deduplication and filtering, but may face setup complexity in self-hosted environments. The bidirectional sync ensures data consistency across tools.
To implement Keep, begin with Docker Compose for testing, then integrate key providers and build workflows step by step.
Blackshark.ai
Creates photorealistic 3D digital twins from satellite imagery using AI
Athennian
Automates entity management with AI for governance, compliance, and data centralization
Prem AI
Transforms raw data into secure, personalized AI models without ML expertise
micro1
Orchestrates human expertise to power advanced AI datasets
Adept
Automates enterprise workflows with multimodal AI agents across software tools
Credo AI
Streamlines AI governance, risk management, and compliance for enterprises