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Keep Cloud can be tried for free by signing up through the platform. The open-source edition is also available for self-hosting at no cost.
Learn moreKeepHQ
Open-source AIOps platform that tames alert noise across your stack
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What is KeepHQ?
KeepHQ is a meta AI automation tool. Open-source AIOps and alert management platform that consolidates alerts from 100+ monitoring and ticketing integrations, adds a queryable single pane of glass and a YAML workflow engine for enrichment and automation, with AI correlation reserved for the Enterprise tier.
Keep is an open-source AIOps and alert management platform built for teams that field alerts from many systems at once. It sits between your monitoring, incident response, ticketing and change management tools, pulling signals into a single pane of glass so operators can see what is actually firing rather than chasing each tool separately. The project describes itself as a Swiss knife for alerts at scale, and the framing is fair: the value lies in consolidation and automation rather than in any single feature. The product works in four stages. First, bidirectional integrations connect monitoring systems, IRM, ticketing, source control, change management and CMDB sources, with alerts and signals staying in sync across both ends. Second, a common query language lets teams slice, group and analyse the collected alert stream, with rule-based grouping to cut duplicate noise. Third, a YAML-based workflow engine (compared on the site to GitHub Actions, but with a UI) runs actions such as querying MySQL, enriching alerts with the results, updating Jira tickets or executing Python scripts. Fourth, the Enterprise tier adds AI-driven alert correlation based on past incidents and a knowledge base, plus summarisation and a continuous feedback loop. Deployment comes in three shapes: self-hosted open source, a managed cloud with a free trial, and enterprise cloud or on-premises. The audience is SREs, operators and platform engineers in complex environments, from startups to global enterprises, and there is a dedicated offering for managed service providers. Teams that only need basic uptime checking will find it heavy. Those juggling dozens of alert sources and wanting to lower their mean time to resolution are the intended fit. Keep competes with commercial AIOps suites on the enterprise end and with lighter alert routers below. Its differentiators are the open-source core, the breadth of integrations and a workflow layer that goes beyond forwarding alerts. The project is now part of Elastic, which is worth noting for anyone evaluating long-term roadmap stability.
How do you use KeepHQ?
1Try the platform with no signup
Open the free platform entry point to see the provider setup flow before committing an account. It gives a quick sense of how integrations are configured and what data Keep expects.2Check alert quality for your stack
Use the provider health page to review alert quality metrics for providers such as Datadog, CloudWatch, Grafana, PagerDuty or GCP Monitoring. This runs without an account and shows where noise is coming from.3Connect your monitoring and ticketing sources
Browse the provider documentation and enable the integrations that match your environment. Connections are bidirectional, so alerts and signals stay aligned between Keep and the original systems.
4Query and group the alert stream
In the alerts view, use the common query language to filter, slice and group incoming alerts. Rule-based grouping collapses related events so the on-call view reflects distinct problems rather than raw volume.5Build an enrichment workflow
Create a workflow in YAML or through the UI to run actions on matching alerts, for example querying a database, attaching the result and updating a Jira ticket. Python script steps cover cases the built-in actions do not.6Decide between self-hosted, cloud and enterprise
Compare the three deployment paths and book a demo if you need AI correlation, summarisation or on-premises enterprise deployment. Smaller teams can stay on the open-source or cloud tier.
Pros and cons
Pros
- Open-source core can be self-hosted, with managed cloud and enterprise options for teams that prefer not to run infrastructureAI
- Bidirectional integrations with monitoring, IRM, ticketing, source control, change management and CMDB tools keep signals in syncAI
- Workflow engine borrows the GitHub Actions model: YAML definitions, but editable through a UIAI
- Common query language and rule-based grouping target duplicate alerts and general noise reductionAI
- Provider health checks can be run before signup, which makes the alert quality question easy to testAI
Cons
- AI-driven correlation and summarisation are Enterprise-only, so the headline AIOps capability sits behind a sales conversationAI
- No public price list on the homepage, which makes budgeting and comparison against commercial suites harderAI
- The workflow engine and query language assume comfort with YAML and scripting, so non-technical operators will need ramp-up timeAI
- Value depends on wiring in many providers; a small stack with two or three alert sources may see little benefit over simpler routingAI
- The Elastic acquisition adds uncertainty about how the open-source roadmap and community edition evolveAI
How much does KeepHQ cost?
Pricing
Three deployment paths: self-hosted open source, Keep Cloud with a free trial, and Enterprise on cloud or on-premises with AI-driven alert correlation and summarisation. No numeric prices are published on the homepage, so enterprise costs require a conversation with sales.
Learn moreSupport
Support runs through a public Slack community with roughly 700 members, GitHub for the open-source project, a status page and a demo booking route for sales conversations.
Integrations
The homepage cites 90+ integrations and a providers list of over 110, spanning monitoring (AppDynamics, Datadog, Grafana, Prometheus, CloudWatch), IRM and ticketing (PagerDuty, Jira), source control, change management and CMDB systems.
Learn moreFeatures
Bidirectional integrations, a single pane of glass with a common query language and rule-based grouping, a YAML workflow engine with a UI for enrichment and automated actions, and Enterprise-only AI alert correlation and summarisation built on past incidents and a knowledge base.
Learn moreFrequently asked questions about KeepHQ
How much does KeepHQ cost?
Three deployment paths: self-hosted open source, Keep Cloud with a free trial, and Enterprise on cloud or on-premises with AI-driven alert correlation and summarisation. No numeric prices are published on the homepage, so enterprise costs require a conversation with sales.Does KeepHQ offer a free trial?
Keep Cloud can be tried for free by signing up through the platform. The open-source edition is also available for self-hosting at no cost.How do you use KeepHQ?
The walkthrough on this page covers 6 steps: 1. Try the platform with no signup 2. Check alert quality for your stack 3. Connect your monitoring and ticketing sources 4. Query and group the alert stream 5. Build an enrichment workflow 6. Decide between self-hosted, cloud and enterprise.What platforms does KeepHQ support?
KeepHQ is available on Web App.What does KeepHQ integrate with?
The homepage cites 90+ integrations and a providers list of over 110, spanning monitoring (AppDynamics, Datadog, Grafana, Prometheus, CloudWatch), IRM and ticketing (PagerDuty, Jira), source control, change management and CMDB systems.What are the limitations of KeepHQ?
AI-driven correlation and summarisation are Enterprise-only, so the headline AIOps capability sits behind a sales conversation. No public price list on the homepage, which makes budgeting and comparison against commercial suites harder. The workflow engine and query language assume comfort with YAML and scripting, so non-technical operators will need ramp-up time.
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Added10/21/2026
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