KubeHA: Automated Alert Recovery for Kubernetes (GenAI-powered SaaS)
KubeHA is a SaaS platform designed to streamline and accelerate the recovery process for Kubernetes alerts. It leverages GenAI to analyze, remediate, and automate responses to alerts in real-time, reducing manual effort and improving reliability for SREs, DevOps engineers, and operations teams. The tool emphasizes high accuracy, low latency, and seamless integration with popular monitoring stacks.
How it works
- Real-time alert analysis: KubeHA analyzes incoming alerts across clusters (Kubernetes and VMs) and provides context, correlation with Prometheus data, and remediation suggestions.
- Automated remediation: Depending on the selected mode, KubeHA automates runbooks, scripts, and remediation actions to resolve issues quickly.
- Audit and compliance: Generates comprehensive audit reports for governance and traceability.
- Integrations: Seamlessly connects with Datadog, New Relic, Grafana, Prometheus, and more to ingest alerts and data.
Modes
- Advanced Mode: Fully automatic analysis and remediation of alerts as they arrive, with optional human approval/editing before execution.
- Basic Mode: Automates log collection, GenAI-assisted analysis, remediation, and response using scripts.
Benefits
- Save 10+ hours/week for fresher and mid-level SREs/DevOps engineers
- Reduce stress during weekends and nights
- Lower alert fatigue and improve quality of life
- Boost team efficiency and productivity
- Scale to handle increasing alert volumes
Core Features
- Real-time analysis and remediation of alerts across any cluster (Kubernetes or VMs)
- GenAI-powered analysis with context and correlation to Observability data
- Automated runbooks and script-based remediation
- Comprehensive audit reporting for compliance
- Support for multiple scripting languages (Shell, Python, Ruby)
- Pluggable integrations with Datadog, New Relic, Prometheus, Grafana, and more
- Alert configuration harmony: automatic and manual configurations from monitoring tools
- Accepts both SaaS and Private Instance deployment (KubeHA SaaS-Pi) with data staying in your environment
- Zero-trust and secure execution with isolation at the pod level and encryption
- Master remediation: modify and re-run analyses/remediation across any cluster with one click
Why KubeHA stands out
- Platform-agnostic alert handling: automates any alert type with ease
- Flexible deployment: works with Kubernetes and virtual machines
- Language versatility: choose Shell, Python, or Ruby for automation
- Rich integrations: Datadog, New Relic, Prometheus, Grafana, and more
- Hybrid alert configuration: blends automatic and manual configuration workflows
- Private-instance option: KubeHA SaaS-Pi ensures data never leaves your environment with GDPR-safe isolation
Getting started
- Schedule a demo or start a trial of KubeHA SaaS to experience automated alert recovery firsthand
- Deploy KubeHA alongside your existing monitoring stack and progressively enable automated remediation
Integrations
- Datadog
- New Relic
- Grafana
- Prometheus
- Additional third-party monitoring tools via supported interfaces
Key Metrics (claims)
- Highest accuracy up to 95%
- Reduced hallucinations vs competitors (up to ~50% fewer)
- Low latency: ~2 minutes for alert analysis and remediation
What users say
- Example testimonial: a major user reported automated remediation significantly reduced outages and manual work, enabling focus on strategic work.
License and Availability
- SaaS with optional private instance (SaaS-Pi)
- 2025 Copyright
About KubeHA
KubeHA positions itself as the gateway to effortless alert recovery automation, aiming to transform alert management into a proactive, scalable, and low-effort process for modern IT operations.