AI Copilot for Kubernetes
Debug Kubernetes Instantly
Atmosly AI Copilot is your always-on assistant for cloud-native troubleshooting. Instantly pinpoint, diagnose, and resolve infra-level issues in your Kubernetes clusters—no more guesswork, no more downtime.
AI Copilot
My deployment is failing, can you help?
CrashLoopBackOff detected. Pod is OOMKilled. Would you like to auto-fix memory limits?
Yes, fix it.
Done! Pod restarted and running healthy. No more CrashLoopBackOff.
Why Choose AI Copilot?
Instant Root Cause Analysis
Get to the heart of pod failures, node issues, and network bottlenecks in seconds—not hours.
Proactive Anomaly Detection
AI Copilot flags unusual patterns and alerts you before incidents escalate.
Guided Remediation
Step-by-step, context-aware fixes for common and complex infra problems.
Security & Compliance Insights
Detect misconfigurations and vulnerabilities as soon as they appear.
How It Works
Connect Instantly
Securely link your cluster in minutes. No agents, no friction.
Monitor Everything
Copilot watches logs, metrics, and events 24/7 for early warning signs.
AI Diagnoses
Get instant, plain-English explanations for errors and anomalies.
One-Click Fix
Apply guided remediations or let Copilot automate the fix.
Debugging in Action
Health Issues – qa-env
Comprehensive health monitoring and issue detection for your Kubernetes cluster resources.
Category Resource Status Severity Actions
Performance Pod web-server Active High
Network Service external-api Investigating Medium
Security Container nginx Active High
Root Cause Analysis – Pod in ImagePullBackOff state
Root Cause
Container imagepull-container: ImagePullBackOff – Back-off pulling image "invalid-image:latest": ErrImagePull: Error response from daemon: pull access denied for invalid-image, repository does not exist or may require 'docker login': denied: requested access to the resource is denied
Contributing Factors
Container image cannot be pulled from registry
Check image name, registry access, and credentials
Restart policy set to Always (may mask underlying issues)
Impact Assessment
Issue affects test-imagepull in default namespace. Status: completed. Timeline: 15 failed events. Key milestones: Failed (22:34:08), Failed (22:36:23), and more.
Recommended Actions
1. Verify the image name and tag are correct
2. Check if the image exists in the registry
Frequently Asked Questions
How does AI Copilot understand my Kubernetes issues?
AI Copilot analyzes your cluster's logs, metrics, events, and resource states in real-time. It uses machine learning models trained on thousands of Kubernetes issues to identify patterns, correlate events, and provide context-aware explanations. The AI understands Kubernetes-specific terminology and can explain complex issues in plain English.
Is AI Copilot secure for production environments?
Yes, AI Copilot is designed with enterprise-grade security. It connects to your cluster using read-only access by default, ensuring no changes can be made without your explicit approval. All data is encrypted in transit and at rest, and we never store sensitive information like secrets or credentials. You maintain full control over what data is shared.
Can AI Copilot automatically fix issues in my cluster?
AI Copilot can suggest automated fixes for common issues, but you always have the final say. It will show you exactly what changes it wants to make and why, allowing you to review and approve before any modifications are applied. For complex issues, it provides step-by-step guidance while you execute the fixes manually.
What types of Kubernetes issues can AI Copilot help with?
AI Copilot handles a wide range of issues including pod failures, resource constraints, network problems, security misconfigurations, deployment issues, and performance bottlenecks. It can diagnose ImagePullBackOff, CrashLoopBackOff, OOMKilled, network policies, RBAC issues, and many more common Kubernetes problems.
How quickly can AI Copilot identify and resolve issues?
AI Copilot provides instant root cause analysis in most cases, typically within seconds of an issue occurring. For simple problems, it can suggest fixes immediately. Complex issues may take a few minutes for comprehensive analysis. The AI continuously monitors your cluster, so it often detects problems before they cause downtime.
Does AI Copilot work with all Kubernetes distributions?
Yes, AI Copilot is compatible with all major Kubernetes distributions including EKS, GKE, AKS, OpenShift, Rancher, and self-hosted clusters. It works with any CNI, storage class, or ingress controller. The AI adapts to your specific cluster configuration and provides tailored recommendations.
Can AI Copilot learn from my team's troubleshooting patterns?
Absolutely! AI Copilot learns from your team's interactions and feedback. When you mark issues as resolved or provide feedback on suggestions, it improves its recommendations for similar problems in the future. It also learns your preferred troubleshooting approaches and can suggest solutions that align with your team's practices.
What if AI Copilot makes an incorrect diagnosis?
AI Copilot is designed to be transparent about its confidence level. If it's uncertain about a diagnosis, it will clearly indicate this and suggest additional investigation steps. You can always provide feedback on incorrect diagnoses, which helps improve the AI's accuracy. The system is designed to assist, not replace, your expertise.

Ready to Debug Smarter?

Experience the next generation of Kubernetes troubleshooting. Try AI Copilot free or schedule a live demo.