Keep addresses the alert fatigue problem that plagues engineering teams using multiple monitoring tools. Instead of checking Datadog, PagerDuty, Grafana, Sentry, and AWS CloudWatch separately, Keep aggregates alerts from 50+ sources into a unified timeline. Its AI engine automatically correlates related alerts, deduplicates redundant notifications, and enriches alert context by pulling relevant data from connected systems, reducing the volume of notifications that require human attention.
The platform includes a workflow engine that automates common incident response patterns — escalating alerts based on severity and time, creating tickets in Jira or Linear when certain conditions are met, sending notifications to Slack or Teams channels, and triggering runbook automations. Bidirectional sync ensures that actions taken in Keep are reflected in source monitoring tools and vice versa. The web dashboard provides filterable views, alert timelines, and analytics on alert patterns and MTTR.
With over 11,600 GitHub stars and active development, Keep has become the leading open-source alternative to enterprise AIOps platforms like BigPanda and Moogsoft. It deploys via Docker Compose or Kubernetes Helm charts and stores data in PostgreSQL. The platform is built with Python and React, extensible through a provider plugin system, and distributed under an MIT license. For teams drowning in alerts from multiple tools, Keep provides the consolidation layer that makes on-call manageable.
