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ArgoCD is our GitOps engine for deploying and managing AI agent configurations, model updates, and infrastructure changes. It provides declarative deployment automation essential for maintaining complex agent systems.

Why ArgoCD is crucial for AI agent operations:

  • Declarative Configuration: Agent deployments defined as code in Git repositories
  • Automatic Synchronization: Continuous deployment of agent configuration changes
  • Rollback Capabilities: Quick recovery from problematic agent deployments
  • Multi-Environment Management: Consistent deployment across dev, staging, and production
  • Security: No direct cluster access needed, all changes through Git workflows

AI agent specific benefits:

  • Model Versioning: Deploy new LLM models and agent configurations safely
  • A/B Testing: Gradual rollout of agent behavior changes and model updates
  • Configuration Drift Detection: Ensures agent configurations match desired state
  • Secret Management: Integrates with External Secrets for API key rotation
  • Multi-Cluster: Deploy agents across regions for data residency requirements

Integration with our platform:

  • GitHub Integration: Monitors our agent configuration repositories
  • Knative Applications: Deploys serverless agent services automatically
  • External Secrets: Manages LLM API keys and credentials securely
  • Prometheus Monitoring: Tracks deployment success rates and health
  • Istio Integration: Configures service mesh policies for agent communication

Deployment patterns we use:

  • App of Apps: Hierarchical structure for managing multiple agent applications
  • Environment Promotion: Automated promotion from dev to staging to production
  • Helm Charts: Templated deployments for consistent agent configurations
  • Kustomize: Environment-specific overlays for agent settings and resources

Best practices:

  • Use Git branching strategies aligned with environment promotion
  • Implement pre-sync hooks for database migrations and model loading
  • Configure health checks specific to AI agent readiness
  • Use sync waves for complex multi-component agent deployments
  • Monitor sync status and set up alerts for failed deployments