Overview
Annie automatically learns from your connected integrations (AWS, Terraform, Datadog, etc.), but some knowledge isn’t available in those systems—team conventions, business context, runbook locations, on-call contacts, and tribal knowledge. Custom Knowledge lets you add this extra context that Annie doesn’t have access to, so she can provide more accurate and relevant responses.Knowledge Categories
Infrastructure Architecture
Infrastructure Architecture
Document your infrastructure topology:
- Service dependencies and ownership
- Critical paths and SLAs
- Environment layouts (prod, staging, dev)
- Architecture decisions and trade-offs
Log Patterns
Log Patterns
Define common log patterns and their meanings:
- Error signatures and what they indicate
- Warning patterns to watch for
- Success patterns for verification
- How to find relevant logs in your monitoring tools
Tool Usage
Tool Usage
Document how your team uses monitoring and debugging tools:
- Key Datadog dashboards to check
- Important CloudWatch metrics
- Runbook locations
- How to access specific environments
Business-Technical Mapping
Business-Technical Mapping
Connect business concepts to technical components:
- Which services power which features
- Revenue-critical paths
- Customer-facing vs internal services
- Feature flags and their impact
Schemas & Conventions
Schemas & Conventions
Define your team’s standards:
- Naming conventions for resources
- Tagging standards
- Deployment patterns
- On-call rotation and escalation paths
Examples
Payment Service
Payment Service
Authentication Service
Authentication Service
Database Runbook
Database Runbook
Infrastructure Naming Conventions
Infrastructure Naming Conventions
Incident Response Playbook
Incident Response Playbook