Close the loop between Kubernetes observability and GitOps remediation. Monitor failures, analyze root causes with AWS Bedrock (Claude 3), and automatically open Pull Requests with suggested fixes.
# KubeScribe AI detected: OOMKilled
# Root cause: Insufficient memory limits
# Suggested fix:
apiVersion: v1
kind: Pod
metadata:
name: my-app
spec:
containers:
- name: app
resources:
limits:
memory: "512Mi" # Increased from 256Mi
requests:
memory: "256Mi"Automated SRE capabilities that bridge observability and remediation
Automatically monitors Kubernetes clusters for critical failures like OOMKilled, CrashLoopBackOff, and other pod issues in real-time.
Leverages AWS Bedrock with Claude 3 to intelligently analyze failure patterns and identify the root cause of issues.
Automatically opens Pull Requests in your Infrastructure repository with suggested fixes, ready for review and deployment.
Seamlessly closes the loop between observability and remediation by integrating directly with your GitOps workflow.
Continuously watches your clusters, providing proactive detection and remediation before issues escalate.
Transform your Kubernetes infrastructure into a self-healing system that automatically proposes fixes for detected failures.
KubeScribe AI is an automated SRE agent designed to close the loop between Kubernetes observability and GitOps remediation. It eliminates the manual gap between detecting failures and implementing fixes.
When your cluster experiences failures like OOMKilled or CrashLoopBackOff, KubeScribe AI automatically detects the issue, uses AWS Bedrock (Claude 3) to analyze the root cause, and opens a Pull Request in your Infrastructure repository with the suggested fix—all without human intervention.
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