KeepHQ
Keep is an open-source AIOps platform designed for individuals working with complex alert systems. It provides smart noise reduction capabilities, transforming ...
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What is KeepHQ?
Keep is an open-source AIOps and alert management platform designed to handle alerts and events at scale in complex IT environments. It provides a single pane of glass by integrating with over 110 monitoring systems, incident response tools, ticketing platforms like Jira and PagerDuty, source control, change management, and CMDB systems through bidirectional synchronization. Key features include advanced querying with Common Expression Language (CEL) for filtering and analysis, YAML-based workflow automation similar to GitHub Actions for enriching alerts, updating tickets, and running scripts, plus enterprise AI-driven alert correlation and summarization to combat noise and fatigue.
The platform supports easy deployment options: self-hosted open-source via Docker or Kubernetes, managed Keep Cloud with free trial, and Enterprise editions with on-premises and advanced AI. It reduces alert fatigue by grouping alerts into incidents, applying deduplication, maintenance windows, and service topology mapping. Workflows enable automation like querying MySQL for customer data enrichment or creating ServiceNow tickets based on alert conditions.
Keep targets SREs, operators, DevOps engineers, IT operations heads in startups to global enterprises dealing with multiple observability tools. It's DevOps-friendly, provisionable as code, extensible for custom integrations, and community-driven with 9200+ GitHub stars. Whether managing Prometheus alerts locally or syncing ServiceNow in large setups, Keep democratizes AIOps for efficient ITOps stacks.
KeepHQ pricing
Pricing model: Freemium
Startup free plan at $0/month includes 5 workflows, 1 integration, 1 user. Growth plan starts at $199/month with 100 workflows, 20 integrations, 10 users. Enterprise + AI offers unlimited workflows/integrations/users with custom pricing fitted to needs, available cloud or on-premises.
KeepHQ pros
- Open-source with 9200+ GitHub stargazers
- Over 110 high-quality bidirectional integrations
- Single pane of glass for all alerts
- CEL for advanced querying and filtering
- YAML workflows like GitHub Actions
- UI builder for workflows
- AI alert correlation in Enterprise
- Alert enrichment from databases like MySQL
- Bi-directional sync with Jira, PagerDuty
- Rule-based grouping to reduce noise
- Deduplication and extraction techniques
- Maintenance windows support
- Service topology mapping
- Easy one-click Docker/K8s deployment
- Keep CLI for quick iteration
- Provider health checks
- Customizable alert table presets
- Facets for alert pattern insights
- Sound notifications
- Provision as code for CI/CD
KeepHQ cons
- AI features Enterprise-only
- Startup free tier limits to 5 workflows
- Growth plan caps at 100 workflows
- Only 1 integration in free tier
- User limit of 1 in Startup plan
- Requires CLI config for workflows
- Production needs API key auth setup
- Enterprise pricing custom/unclear
- Self-hosted requires infra management
- Learning curve for CEL syntax
- YAML workflow debugging needed
Frequently asked questions about KeepHQ
What deployment options does Keep offer?
Keep supports self-hosted open-source via Docker Compose or Kubernetes Helm charts for one-click local setups, Keep Cloud managed service with free trial where they handle deployment, and Enterprise edition for cloud or on-premises with SSO, scaling, and unique AI features.
How many integrations does Keep support?
Keep has high-quality bidirectional integrations with over 110 providers including monitoring like Datadog, CloudWatch, Grafana, GCP Monitoring, AppDynamics; IRM/ticketing like PagerDuty, Jira; plus source control, change management, and CMDB systems for seamless alert sync.
What is the workflow engine in Keep?
The workflow engine is YAML-based like GitHub Actions with UI builder, enabling automation such as querying MySQL to enrich alerts with customer data, updating Jira tickets, executing Python scripts, and creating ServiceNow incidents based on alert triggers and conditions.
What AIOps features does Keep provide?
Enterprise offers next-gen AIOps with AI-driven alert correlation based on past incidents and knowledge base, summarization for thousands of daily alerts, plus non-AI techniques like deduplication, extraction, mapping, maintenance windows, and service topology across all plans.
How does Keep reduce alert fatigue?
Keep reduces fatigue via single pane of glass with CEL querying for filtering/slicing, rule-based grouping into incidents, facets for patterns, customizable presets, noise reduction through workflows, and AI correlation to prioritize critical issues over raw alert volume.
What is Common Express Language in Keep?
CEL provides advanced querying, slicing, data analysis, and rule-based grouping to improve clarity, used in alert filtering, workflow conditions, provider mappings, and real-time evaluation for precise targeting by service, severity, or custom attributes.
Is Keep suitable for small teams?
Yes, designed for small SRE/DevOps teams with easy local Kubernetes setup for Prometheus alerts, free Startup plan, DevOps-friendly UX without dedicated maintenance team, and extensible for growth into enterprise-scale with SSO and unlimited features.
How to get started with Keep?
Start with playground at playground.keephq.dev to explore alerts, incidents, providers, workflows, AIOps; install via Docker/K8s/CLI; check provider health without signup; sign up for Keep Cloud free trial; join Slack or GitHub community.
What are Keep's pricing tiers?
Startup $0/mo: 5 workflows, 1 integration, 1 user; Growth from $199/mo: 100 workflows, 20 integrations, 10 users; Enterprise custom pricing: unlimited everything plus AI, for cloud/on-prem deployments.
Does Keep support custom providers?
Yes, Keep's extensible architecture allows adding new providers; configure/test mappings for data ingestion/normalization into unified schema, supporting custom integrations beyond 110 pre-built like Prometheus, Datadog, or GCP Monitoring.