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Knative is our core serverless platform for deploying AI agents and automation workflows. It provides scale-to-zero capabilities that dramatically reduce infrastructure costs while maintaining enterprise-grade reliability.

Why Knative is crucial for AI agents:

  • Scale-to-Zero: Agents scale down to zero when idle, reducing costs by 70-80%
  • Event-Driven: Native support for event-driven agent workflows and triggers
  • Auto-Scaling: Intelligent scaling based on request volume and custom metrics
  • Container Native: Deploy any containerized agent or workflow without vendor lock-in
  • Production Ready: Battle-tested in enterprise environments with comprehensive monitoring

AI-specific benefits:

  • Cost Optimization: Pay only for actual agent processing time, not idle resources
  • Burst Scaling: Handle sudden spikes in agent requests automatically
  • Multi-Tenancy: Isolate different agent workflows and teams safely
  • GPU Support: Scale GPU-enabled agents for intensive AI workloads
  • Cold Start Optimization: Optimized for AI container startup times

Integration with our platform stack:

  • Kubernetes Foundation: Built on our existing EKS infrastructure
  • Istio Service Mesh: Automatic mTLS and traffic management for agent communication
  • Prometheus Monitoring: Track agent performance, costs, and resource usage
  • External Secrets: Secure injection of API keys and credentials for agents
  • ArgoCD GitOps: Automated deployment and configuration management

Deployment patterns we use:

  • Stateless Agents: ReAct agents that process individual requests
  • Event Processors: Agents triggered by business events (document uploads, user actions)
  • Scheduled Workflows: Cron-like agents for periodic automation tasks
  • Multi-Agent Systems: Coordinated agents with event-based communication

Best practices:

  • Optimize container images for fast cold starts
  • Use health checks and readiness probes for reliable scaling
  • Implement circuit breakers for external service dependencies
  • Monitor token usage and costs with custom metrics