Klaudia Knowledge Base Integration

Overview 

Klaudia Knowledge Base Integration is a new capability that allows Klaudia to leverage your internal documentation, runbooks, and operational knowledge to provide hyper-contextualized Root Cause Analysis and recommendations. Klaudia now understands your specific systems, procedures, and constraints to deliver insights that are immediately actionable within your environment.

How will it help you?

• Troubleshoot with Your Own Expertise, Amplified: Klaudia leverages your internal documentation and runbooks (including confluence), providing RCA and recommendations that are instantly familiar and aligned with your specific systems and established practices
• Confidence in Resolutions: By integrating your documented best practices, Klaudia ensures all team members approach troubleshooting with consistent, company-approved methods, leading to more reliable outcomes
• Accelerate Issue Resolution: Your team's accumulated knowledge becomes an active part of every investigation, reducing reliance on individual memory or manual searches for faster problem-solving
• Reduce Cognitive Load: Engineers no longer need to manually bridge the gap between Klaudia's findings and internal knowledge - the context is automatically incorporated

Where Can I Find It?

Knowledge base integration enhances your existing Klaudia experience across multiple touchpoints:

• Incident Analysis: Contextualized recommendations are tailored to your documented procedures and approved tools
• Klaudia Chat: Conversational troubleshooting responses reference your internal procedures and use your specific terminology

How Does It Work

1. Knowledge Ingestion: Connect your knowledge sources through two available integration options:
   • Direct File Upload - Now Available: Upload documentation files directly to Komodor (supports Markdown, PDF, and other common formats)
   • Atlassian Integration - Coming Soon: Connect your Confluence spaces to automatically sync your documentation and runbooks
   • Slack Integration – Coming Soon: Connect your Slack workspace and select key channels (like incident or tech-QA). Klaudia will ingest shared knowledge, making real-time insights and past resolutions part of future investigations.
      
2. Intelligent Retrieval: When analyzing an incident, Klaudia:
   • Identifies relevant sections from your knowledge base based on the specific failure patterns
   • Retrieves contextual information about your systems, dependencies, and procedures
   • Prioritizes customer-specific knowledge alongside general Kubernetes expertise
      
3. Enhanced Analysis: Klaudia incorporates your knowledge into its reasoning process:
   • References your documented architectures and dependencies
   • Follows your established troubleshooting procedures
   • Respects your operational constraints and business rules
   • Uses your internal terminology and system names

Use Cases 

Here are scenarios where knowledge base integration transforms troubleshooting:

1. Jenkins Pipeline Dependencies:
   • Without KB: Build pods failing with "connection refused" errors → Klaudia suggests checking network policies and pod connectivity
   • With KB: Build pods failing → Klaudia references your runbook that documents "Jenkins builds require the artifact-cache service to be running first. If builds fail with connection errors, restart artifact-cache-deployment before retrying builds" and provides the exact restart command
2. Database Migration Failures:
   • Without KB: Application pods crashing during startup → Generic suggestions about resource limits and health checks
   • With KB: App startup failures → Klaudia finds your migration documentation: "After deploying version 2.4+, manually run the user-permissions migration script before pods can start successfully" and provides the specific kubectl command to execute the migration
3. Service Configuration Changes:
   • Without KB: Redis connection timeouts across multiple services → Suggests scaling Redis or checking network issues
   • With KB: Redis timeouts → Klaudia locates your operations guide: "When Redis shows timeout errors after config changes, the connection pool settings need manual update. Edit the redis-config ConfigMap and set maxConnections=200, then restart affected services" and lists the exact services that need restarting

Usage example

Getting Started 

To enable knowledge base integration:

1. Navigate to Klaudia settings in your Komodor dashboard
   
2. Upload Files: Drag and drop your documentation files
   
3. Klaudia will begin incorporating your knowledge into analysis within minutes
   

Note: We're actively refining the feature based on customer feedback to ensure optimal precision and relevance. If you have feedback or wish to get early access to the Atlassian or Slack integrations, let us know!