Module 7: Production Considerations
Overview
Now that you can build, test, and debug operators (Module 6), it’s time to prepare them for production. This module covers packaging, distribution, security, high availability, and performance optimization - all essential for running operators in production environments.
Duration: 6-7 hours
Prerequisites:
- Completion of Module 1: Kubernetes Architecture Deep Dive
- Completion of Module 2: Introduction to Operators
- Completion of Module 3: Building Custom Controllers
- Completion of Module 4: Advanced Reconciliation Patterns
- Completion of Module 5: Webhooks and Admission Control
- Completion of Module 6: Testing and Debugging
- Understanding of container images and Helm
Learning Objectives
By the end of this module, you will:
- Package operators for distribution (images, Helm charts, OLM bundles)
- Configure proper RBAC and security
- Implement high availability with leader election
- Optimize performance and scalability
- Understand production deployment best practices
Module Structure
- Lesson 7.1: Packaging and Distribution
- Lesson 7.2: RBAC and Security
- Lesson 7.3: High Availability
- Lesson 7.4: Performance and Scalability
Prerequisites Check
Before starting, ensure you’ve completed:
- ✅ Module 6: Operator with tests and observability
- ✅ Have a working operator from previous modules
- ✅ Understand container images and Docker
- ✅ Basic understanding of Helm charts
If you haven’t completed Module 6, start with Module 6: Testing and Debugging.
What You’ll Build
Throughout this module, you’ll prepare your Database operator for production:
- Container image for distribution
- Helm chart for easy deployment
- Proper RBAC configuration
- High availability setup
- Performance optimizations
Setup
Before starting this module:
- Have your Database operator from Module 3/4/5/6:
- Should have a working operator
- Tests should be passing
- Ready for production deployment
- Ensure development environment is ready:
./scripts/setup-dev-environment.sh - Have access to a container registry:
- Docker Hub, GitHub Container Registry, or private registry
- For local testing, you can use kind’s image loading
Hands-on Labs
Each lesson includes hands-on exercises that prepare your operator for production.
- Lab 7.1: Packaging Your Operator
- Lab 7.2: Configuring RBAC
- Lab 7.3: Implementing HA
- Lab 7.4: Optimizing Performance
Solutions
Complete working solutions for all labs are available in the solutions directory:
- Lab 7.1 Solutions - Container image and Helm chart examples
- Lab 7.2 Solutions - RBAC configuration examples
- Lab 7.3 Solutions - Leader election and HA examples
- Lab 7.4 Solutions - Performance optimization examples