Keep

Key features

• 90+ bidirectional provider integrations 90+ bidirectional provider integrations: Keep ingests alerts from Datadog, CloudWatch, Grafana, GCP Monitoring, Slack, ServiceNow, and dozens more into one feed, and can act back on those systems rather than only receiving webhooks.[1]

• AI deduplication and correlation AI deduplication and correlation: machine-learning models group related alerts across different platforms into fewer actionable items, which the vendor contrasts with the manual or rule-based correlation of older AIOps suites.[1][2]

• Workflow automation as code Workflow automation as code: a YAML engine with triggers, steps, actions, conditions, built-in functions, loops, and shared context automates enrichment, escalation, and remediation, with worked examples published in the repository.[1]

• No-code visual workflow builder No-code visual workflow builder: the same engine is operable through a visual interface alongside the YAML definitions, so operators who do not write code can still assemble response playbooks.[1][2]

• Alert enrichment in the pipeline Alert enrichment in the pipeline: workflows append customer details, ticket metadata, and topology context to raw alerts, so the item that reaches a human already carries the facts needed to act.[1][2]

• Single pane of glass with real-time updates Single pane of glass with real-time updates: a Next.js frontend over a FastAPI backend with a websocket server presents the live alert feed, filters, and incident views in one place.[1][2]

• Designed to sit before the incident responder Designed to sit before the incident responder: official comparisons position Keep as the layer that manages millions of alerts before they reach PagerDuty, Opsgenie, or Grafana OnCall, with high-quality integrations to each.[1]

• Self-hosting and provisioning as code Self-hosting and provisioning as code: a docker-compose one-liner or Helm on Kubernetes stands Keep up locally, every aspect is provisionable as code for CI/CD, and a hosted playground sandbox allows evaluation without installing anything.[1]

Who will love it

• SRE and platform teams with three or more alerting tools will love it, because cross-platform aggregation and correlation is the exact pain Keep names, and single-tool teams will feel less of the benefit.[1][2]

• Budget-conscious orgs that want an open-source core with a paid path will love it: the MIT-licensed core self-hosts free, the Startup cloud tier is $0, and Growth ($199/month) and Enterprise buy support, scale, and AI correlation without replatforming.[1][2]

• Automation-minded teams that remediate as code will love it: engineers who already think in YAML, CI/CD, and chatops get a workflow engine with examples, functions, and loops rather than a click-only runbook tool.[1]

Who should avoid it

• Teams that want zero-infrastructure paging should avoid it: self-hosting means running the Python backend, Next.js frontend, and realtime services plus upgrades, and the free Startup tier caps use at 5 workflows, 1 integration, and 1 user.[1][2]

• Non-technical responders needing simple on-call should avoid it: serious use assumes engineers who can model workflows and mappings, while a fully managed proprietary responder is simpler for rota duty alone.[1][2]

• Buyers sensitive to acquisition-driven roadmap shifts should avoid it for now: Elastic's announced acquisition points Keep toward Elasticsearch/Kibana integration, and Enterprise+AI pricing is quote-only, so negotiate direction and cost before committing.[1][2]

Alternatives and compatibility