Automate Amazon EKS troubleshooting using an Amazon Bedrock agentic workflow

This article describes an innovative solution for automating Amazon EKS troubleshooting using Amazon Bedrock multi-agent collaboration. The solution creates an intelligent system that can identify, analyze, and resolve Kubernetes cluster issues with minimal human intervention.

• Uses multiple specialized AI agents working together:
  • Collaborator agent for workflow orchestration
  • K8sGPT agent for cluster analysis
  • ArgoCD agent for remediation
• Key technologies include:
• Amazon Bedrock
• K8sGPT for cluster analysis
• ArgoCD for GitOps deployment
• Demonstrates capabilities such as:
• Identifying pod failures
• Analyzing resource constraints
• Automatically suggesting and implementing fixes

The solution aims to reduce mean time to identify (MTTI) and mean time to resolve (MTTR) for Kubernetes cluster issues, enabling operations teams to focus on innovation rather than manual troubleshooting.