Skip to content

Deployment & Operations Guides

Guides for deploying and operating AgenticGoKit applications in production.

Available Guides

Docker Deployment

Containerize your AgenticGoKit applications with Docker, including multi-stage builds and optimization techniques.

When to use: Deploying agents in containerized environments or cloud platforms.

Monitoring

Set up comprehensive monitoring for agent performance, including metrics, logging, and alerting.

When to use: Running agents in production and need visibility into system health and performance.

Scaling

Scale AgenticGoKit applications horizontally, including load balancing and distributed deployment patterns.

When to use: Handling increased load or building high-availability agent systems.

Deployment Patterns

Common deployment patterns:

Single Instance

  • Simple applications with low traffic
  • Development and testing environments
  • Proof-of-concept deployments

Load Balanced

  • Multiple instances behind a load balancer
  • Horizontal scaling for increased throughput
  • High availability with failover

Microservices

  • Agents deployed as separate services
  • Independent scaling and deployment
  • Service mesh integration

Production Checklist

Before deploying to production:

  • [ ] Configuration management - Externalized configuration
  • [ ] Security - Proper authentication and authorization
  • [ ] Monitoring - Metrics, logging, and alerting set up
  • [ ] Backup and recovery - Data backup and disaster recovery plans
  • [ ] Performance testing - Load testing and capacity planning
  • [ ] Documentation - Operational runbooks and procedures

Infrastructure Requirements

Typical production requirements:

  • Compute - CPU and memory based on agent complexity
  • Storage - Persistent storage for state and memory systems
  • Network - Reliable network connectivity for LLM APIs
  • Monitoring - Observability infrastructure

Next Steps

For production deployment:

  1. Start with Docker containerization
  2. Add monitoring for observability
  3. Scale with appropriate patterns as needed
  4. Reference Best Practices for operational excellence

Released under the Apache 2.0 License.