Automated Troubleshooting for Kubernetes | Webb.ai

Discover insights into your Kubernetes issues with Webb.ai's automated troubleshooting, designed to help you understand what changed and why problems occur.

Matt by Webb.ai

Matt is the first AI-enabled reliability engineer that automates troubleshooting to identify the root cause in <5 mins. Matt troubleshoots alerts from Observability tools (e.g., Datadog), cloud providers (e.g., AWS), and infrastructure (e.g., K8s).

Key Features of Webb.ai

Explore the powerful features that make Webb.ai the go-to solution for Kubernetes troubleshooting.

Automated Insights

Get real-time insights into changes and issues in your Kubernetes environment.

24/7 Monitoring

Stay informed with continuous monitoring that alerts you to potential issues at any time.

User-Friendly Interface

Navigate easily through an intuitive interface designed for efficiency and clarity.

Data-Driven Analysis

Leverage data from your Kubernetes system to understand root causes of failures.

Proactive Problem Resolution

Resolve issues before they escalate with proactive alerts and recommendations.

Seamless Integration

Integrate easily with existing tools and workflows for a smooth troubleshooting experience.

Frequently Asked Questions about Webb.ai

Find answers to common questions regarding Webb.ai and its capabilities.

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