Introduction

Oracle GoldenGate 23ai Kubernetes & Container Integration focuses on real-time data replication in containerized environments. It explains how GoldenGate Microservices works with Kubernetes for automation, scalability, and high availability. In addition, it introduces Docker and modern cloud-native deployment practices. As a result, learners can design flexible, scalable, and efficient data integration pipelines.

Learner Prerequisites

• Basic understanding of Oracle Database concepts
• Familiarity with Oracle GoldenGate fundamentals
• Knowledge of Docker and containerization basics
• Understanding of Kubernetes core concepts
• Basic Linux/Unix command knowledge
• Exposure to cloud platforms is beneficial

Table of Contents

1. Introduction to GoldenGate 23ai & Containerization

1.1 Overview of GoldenGate 23ai features and architecture
1.2 Key components of Microservices Architecture
1.3 Introduction to containerization concepts
1.4 Understanding Docker images and containers
1.5 Benefits of containerized data integration
1.6 Use cases of GoldenGate in modern environments

2. GoldenGate Microservices in Containers

2.1 GoldenGate container image structure
2.2 Creating and managing Docker images
2.3 Running GoldenGate services in containers
2.4 Container lifecycle management
2.5 Networking in containerized environments
2.6 Storage and volume mapping strategies

3. Kubernetes Architecture for GoldenGate

3.1 Overview of Kubernetes architecture
3.2 Understanding Pods, Nodes, and Clusters
3.3 Services and networking in Kubernetes
3.4 Namespaces and resource isolation
3.5 Kubernetes control plane components
3.6 Scheduling and orchestration basics

4. Deploying GoldenGate on Kubernetes

4.1 Preparing Kubernetes environment
4.2 Writing and understanding YAML deployment files
4.3 Deploying GoldenGate Microservices
4.4 Configuring Pods and Services
4.5 Persistent storage configuration
4.6 Verifying and validating deployments

5. Configuration & Integration

5.1 Configuring GoldenGate parameters in containers
5.2 Managing configuration using ConfigMaps
5.3 Securing sensitive data using Secrets
5.4 Integrating with Oracle and non-Oracle databases
5.5 Managing environment variables
5.6 Handling configuration updates

6. Scaling & High Availability

6.1 Horizontal scaling of GoldenGate services
6.2 Vertical scaling and resource tuning
6.3 Load balancing techniques
6.4 Auto-scaling using Kubernetes
6.5 High availability architecture design
6.6 Failover and recovery strategies

7. Monitoring & Logging

7.1 Monitoring GoldenGate processes
7.2 Kubernetes monitoring tools overview
7.3 Centralized logging approaches
7.4 Log aggregation and analysis
7.5 Setting up alerts and notifications
7.6 Troubleshooting using logs and metrics

8. Security & Access Control

8.1 Security fundamentals in Kubernetes
8.2 Implementing RBAC policies
8.3 Securing container images
8.4 Network policies for data protection
8.5 Encryption and secure communication
8.6 Identity and access management

9. CI/CD & Automation

9.1 Introduction to CI/CD pipelines
9.2 Automating container builds
9.3 Continuous deployment strategies
9.4 Integration with DevOps tools
9.5 Version control practices
9.6 Automated testing and validation

10. Performance Optimization

10.1 Identifying performance bottlenecks
10.2 Resource allocation strategies
10.3 Tuning GoldenGate parameters
10.4 Optimizing container performance
10.5 Kubernetes resource limits and requests
10.6 Performance monitoring techniques

11. Backup, Recovery & Disaster Management

11.1 Backup strategies for containerized environments
11.2 Data persistence considerations
11.3 Disaster recovery planning
11.4 Multi-zone and multi-region setups
11.5 Backup automation techniques
11.6 Recovery testing and validation

12. Real-World Use Cases & Best Practices

12.1 Hybrid cloud deployment scenarios
12.2 Multi-cloud integration strategies
12.3 Event-driven architecture patterns
12.4 Best practices for production deployments
12.5 Common challenges and solutions
12.6 Optimization and cost management