Kestrel AI

Kestrel AI is an AI-Native Cloud Incident Response Platform designed to swiftly detect, investigate, and fix Cloud and Kubernetes incidents. The platform communicates with your clouds, Kubernetes clusters, observability tools, and code, hereby directly addressing cloud infrastructure and application issues through cloud APIs, Infrastructures as Code (IaC), and GitOps. It functions round the clock to identify incidents, determine their root causes, and formulate immediate fixes that can be implemented either through auto-remediation or single-click approval. Over time, Kestrel AI learns from each incident to enhance its performance and offers an exhaustive overview of your entire Cloud infrastructure.

The AI Chat Copilot is a feature in Kestrel AI that allows you to ask cloud questions and investigate complex multi-dependency incidents in plain English. This feature provides real-time responses and ready-to-apply solutions, allowing for quick and concise probing of issues within your cloud infrastructure and applications. This simplifies the process of understanding and resolving incidents while skipping command-line tools and dashboards.

Kestrel AI seamlessly integrates with your existing CI/CD pipelines by converting every AI-generated fix into a pull request. This allows every change to be carefully scrutinized and approved, ensuring your team has total governance over updates made to your infrastructure.

Kestrel AI uses AI algorithms to continuously monitor your Cloud and Kubernetes clusters, identifying incidents as soon as they occur. Once detected, it traces their root causes, and creates precise fixes which can be implemented either automatically or upon approval. This proactive approach minimizes downtime and swiftly addresses intricate infrastructure and application failure patterns before they escalate to full-blown production outages.

The Auto-Remediation feature in Kestrel AI paves the way to automatic resolution of detected incidents. It deploys AI agents that identify security risks across domains and provides exact steps to remediate these risks. Interwoven with its cloud incident response capability, it either auto-remediates or creates a fix that can be implemented through single-click approval, enhancing response times and minimising the impact of incidents on the cloud infrastructure.