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Keep
Apache-2.0Keep is an open-source AIOps platform that unifies alerts from multiple monitoring tools, automating deduplication and triage in place of Incident.io.
Open-source alternative to — compare it against:
Overview
Incident.io structures incident response around Slack channels and hosted subscriptions after someone reports a disruption. Keep tackles the problem upstream as an open-source alert management plane deployed inside your own network. It ingests events from disparate monitoring systems, dedupes the noise, and runs automated remediation workflows before responders need to convene.
Why Keep instead of Incident.io
Incident.io expects teams to declare incidents in Slack, coordinating responders through bot commands, broadcast updates, and post-mortems. While that workflow helps cross-functional groups, it assumes alerts are already filtered and that engineers want human-centric triage. Keep integrates directly into automation pipelines by treating alerts like GitHub Actions events. Instead of clicking through hosted dashboards, engineers write declarative YAML workflows that trigger on alert payloads, pull context from Kubernetes or SQL databases, and automatically open Jira tickets or restart services.
Where Incident.io provides on-call scheduling, Slack channels, and executive update templates, Keep omits native call routing and conference coordination. In exchange, Keep eliminates the vendor lock-in and risk of sending raw production telemetry to external cloud endpoints. Adopting Keep requires hosting container infrastructure, routing webhook endpoints, and maintaining workflow definitions in code. For engineering teams that prioritize automated triage and local data sovereignty over chat orchestration, Keep replaces the expensive intake tier of commercial incident software.
What it does well
- Declarative YAML workflows structured like GitHub Actions, letting engineers define triggers, contextual fetch steps, and automated actions in code.
- Multi-source alert aggregation that ingests and normalizes webhook payloads from Prometheus, Datadog, Sentry, CloudWatch, and ninety other providers.
- Automated deduplication and correlation algorithms that consolidate flapping signals and cascading failures into unified incident records.
- Bidirectional synchronization with issue trackers like Jira, Linear, and GitHub Issues, keeping incident statuses aligned without manual updates.
- Contextual enrichment steps that query production databases, SSH endpoints, and internal APIs to append runtime diagnostics directly to alert payloads.
