What types of incidents can Kestrel AI resolve?
Kestrel AI resolves complex infrastructure and application incidents, including Kubernetes issues like CoreDNS resolution failures and HTTP 5xx spikes, as well as cloud problems like VPC routing conflicts and Kafka broker lag spikes. It provides precise, production-ready fixes for issues that typically take hours to debug.
How quickly can Kestrel AI be set up?
Setup is very fast, taking less than 30 seconds. For Kubernetes, a single Helm install command deploys the lightweight, read-only operator. For other cloud services, it connects via agentless API integration, requiring no prior infrastructure preparation.
How does Kestrel AI ensure data security and privacy?
Kestrel AI is SOC 2 compliant and prioritizes security. Your data is isolated, never combined with other customers, and not used to train models for others. Raw data is not stored, secrets are never transmitted, and the platform operates read-only by default, requiring explicit approval for all AI-generated fixes.
Which cloud providers does Kestrel AI support?
Kestrel AI supports all major cloud providers, including AWS, Azure, and GCP. It also works with on-premise Kubernetes clusters. Its agentless architecture connects via read-only API access, and the open-source operator deploys to any Kubernetes environment.
Can Kestrel AI integrate with my existing CI/CD and GitOps workflows?
Yes, Kestrel AI integrates seamlessly with your existing CI/CD pipelines and GitOps workflows. Every AI-generated fix requires your explicit approval and can be deployed directly to your infrastructure, or synced with your GitOps repositories and Infrastructure as Code (IaC) tools like Terraform and Pulumi.