Most teams drown in noisy alerts — the hard part isn't collecting signals but turning them into actionable incidents. Keep addresses that gap by combining declarative workflows with AI-powered enrichment and correlation so teams see fewer, higher‑quality incidents and faster resolution.
What Sets It Apart
- Declarative, GitOps-friendly workflows (YAML) that let you automate alert routing and remediation soops are reproducible and reviewable; this makes policy changes auditable and CI-friendly.
- Deep, bi-directional providers for monitoring, ticketing and chat tools so alerts can be synced, enriched, and reflected across your existing stack rather than forcing a rip‑and‑replace.
- Pluggable AI backends for enrichment, summarization and correlation (supports local and remote LLM backends) which reduces duplicate alerts and surface-level triage work — the practical result is fewer on‑call interruptions and lower MTTR.
- Self‑hosted-first architecture with enterprise features (SSO/SAML, RBAC, air‑gapped deployment) that makes it usable in regulated and offline environments.
Who it's for — and tradeoffs
Great fit if you run large-scale monitoring and need to reduce alert fatigue without abandoning existing observability tooling, or if you require a self-hostable platform with AI-driven correlation. Look elsewhere if you only want a lightweight hosted alert forwarder (no heavy customization) or if you need a vendor-managed SaaS with full support SLAs out of the box — some advanced AI/enterprise features are provided as paid/cloud options.
Where it fits
Think of Keep as the glue between monitoring, incident management and automation: more extensible than a simple pager/forwarder, and more deployment-flexible than many hosted AIOps products. It’s best when teams want to own their data and add LLM-based enrichment to existing workflows.
