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 accurate is AI Copilot's root cause analysis?
AI Copilot achieves 95%+ accuracy in root cause analysis by analyzing logs, metrics, events, and cluster state. Our AI model is trained on millions of Kubernetes incidents and continuously learns from new patterns, providing precise diagnoses for common and complex infrastructure issues.
What types of Kubernetes issues can AI Copilot detect?
AI Copilot can detect and diagnose pod failures, node issues, network connectivity problems, resource constraints, image pull failures, configuration errors, security vulnerabilities, performance bottlenecks, and deployment issues. It covers the full spectrum of Kubernetes troubleshooting scenarios.
How quickly can AI Copilot identify and fix issues?
AI Copilot typically identifies issues within seconds of occurrence and can apply automated fixes in under a minute for common problems. For complex issues, it provides step-by-step remediation guidance, reducing troubleshooting time from hours to minutes.
Is AI Copilot safe to use in production environments?
Yes, AI Copilot is designed for production use with enterprise-grade security. All fixes are applied with proper authorization, and you can configure approval workflows for sensitive changes. The system maintains detailed audit logs and follows security best practices.
Can AI Copilot work with multiple Kubernetes clusters?
Absolutely! AI Copilot supports multi-cluster environments across different cloud providers and on-premises setups. You can monitor and troubleshoot issues across all your clusters from a single dashboard, with cluster-specific insights and unified remediation workflows.
How does AI Copilot handle security and compliance?
AI Copilot continuously monitors for security misconfigurations, policy violations, and compliance issues. It provides real-time alerts for security threats, suggests remediation steps, and helps maintain compliance with standards like SOC 2, GDPR, and industry-specific regulations.
What integrations does AI Copilot support?
AI Copilot integrates with popular tools like Prometheus, Grafana, ELK Stack, Slack, PagerDuty, and Jira. It also supports webhook notifications and can export data to external monitoring and incident management platforms for seamless workflow integration.
Can I customize AI Copilot's behavior and responses?
Yes! You can customize AI Copilot's behavior through policies, thresholds, and response templates. Set up custom rules for automated fixes, configure notification preferences, and tailor the AI's responses to match your team's communication style and operational procedures.

Ready to Debug Smarter?

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