Webb AI

Webb.ai: Automated Troubleshooting for Kubernetes

Webb.ai offers an AI-powered reliability engineering solution designed to automate Kubernetes troubleshooting. It targets DevOps, SREs, and platform teams who need faster, data-driven insights into why systems fail and how to remediate issues, especially during off-hours or paged incidents.

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Key Capabilities

• AI-assisted troubleshooting workflows for Kubernetes environments
• Insights into root causes and actionable remediation steps
• Designed for 2am paging scenarios to reduce MTTR (mean time to repair)
• Emphasis on reliability engineering, not just incident response
• Early access program and ongoing feature enhancements

How It Works

1. Identify the issue or incident scenario you’re troubleshooting (e.g., pod failures, scheduling issues, network errors).
2. The AI reliability engine analyzes Kubernetes state, events, and metrics to infer root causes and likely fixes.
3. Receive structured, actionable recommendations and potential script or command templates to implement changes.
4. Iterate: re-check the cluster state after applying remediation and confirm resolution.

Requirements

• Kubernetes version 1.20 or later
• EBPF-enabled kernel version 5.4 or later

Use Cases

• Rapid incident diagnosis during outages
• Post-incident analysis to prevent recurrence
• Proactive reliability improvements and health checks
• Knowledge sharing through AI-generated runbooks

Safety and Compliance Considerations

• Guidance is intended for production environments; validate remediation steps in staging where appropriate.
• Ensure changes align with your organization’s change management policies.

How to Get Access

• Join the Early Access Program to request access and stay updated on new features.

Core Features

• AI-powered Kubernetes troubleshooting assistant
• Automated identification of root causes and remediation recommendations
• Quick, actionable incident resolution guidance to reduce MTTR
• Progress tracking and iterative verification of fixes
• Early access with ongoing feature updates and improvements
• Support for incident postmortems and runbook generation
• Compatibility with Kubernetes 1.20+ and EBPF-enabled kernels