Webb.ai
Automate Kubernetes incident resolution with AI insights
Overview
Webb.ai acts as an AI reliability engineer that automatically troubleshoots Kubernetes issues. It helps teams quickly identify root causes of system failures and reduces alert fatigue. The tool specializes in answering 'What changed?' during critical outages, particularly useful for late-night incident response.
Key Features
Automated RCA
Identifies root causes of Kubernetes failures automatically
EBPF Monitoring
Uses kernel-level data for deep system observability
Change Analysis
Pinpoints system changes preceding incidents
Use Cases
Troubleshoot production outages
Analyze cluster health changes
Reduce alert fatigue for SREs
Pros & Cons
Pros
- Reduces mean time to resolution (MTTR)
- Automates repetitive troubleshooting tasks
- Works with Kubernetes 1.20+ environments
- Provides kernel-level visibility via eBPF
Cons
- Requires specific kernel version (5.4+)
- Primarily focused on Kubernetes ecosystems
Frequently Asked Questions
What are the system requirements?
Requires Kubernetes v1.20+ and eBPF-enabled kernel v5.4+
How does Webb.ai help with late-night incidents?
Automatically provides insights about system changes that caused outages
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