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Course Outline

Day 1: Introduction and Core Setup

Module 1: Introduction to AlloyDB

  • Understanding AlloyDB
  • Core Features and Use Cases
  • Comparison with Alternatives (e.g., PostgreSQL, Google Cloud SQL)

Module 2: Setting Up AlloyDB

  • Prerequisites and System Requirements
  • Creating an AlloyDB Instance
  • Configuration Options and Best Practices
  • Establishing Connectivity from Various Environments

Module 3: Database Administration Essentials

  • Instance Types and High Availability Configurations
  • Backup and Restore Strategies
  • Monitoring and Performance Management

Hands-on Lab: Initial Setup

  • Provisioning a new AlloyDB instance
  • Configuring basic settings and connectivity
  • Setting up monitoring and alert systems

Day 2: Data Management and Security

Module 4: Working with Data in AlloyDB

  • Creating and Managing Databases and Tables
  • Importing and Exporting Data
  • Executing Queries and Utilizing Tools like pgAdmin
  • Performance Tuning and Indexing Strategies

Module 5: Security and Compliance

  • Security Best Practices in AlloyDB
  • Managing Roles and Permissions
  • Encryption and Data Protection
  • Auditing and Compliance Features

Module 6: High Availability and Disaster Recovery

  • Setting Up and Managing Replication
  • Failover Mechanisms and Read Replicas
  • Designing for Disaster Recovery
  • Testing High Availability Configurations

Hands-on Lab: Data Operations and Security

  • Creating and managing databases and tables
  • Implementing security measures and testing permissions
  • Configuring replication and testing failover scenarios

Day 3: Advanced Features, Integration, and Optimization

Module 7: Integrating AlloyDB with Applications

  • Connecting AlloyDB with Google Cloud Services
  • Integrating with Data Analytics Tools
  • Leveraging APIs and Automation
  • ETL and Data Migration Best Practices

Module 8: Performance Optimization and Troubleshooting

  • Analyzing Query Performance
  • Identifying and Resolving Bottlenecks
  • Utilizing Performance Insights
  • Common Troubleshooting Techniques

Hands-on Lab: Building a Real-World Scenario

  • Designing a high-availability setup
  • Developing a sample application integration
  • Simulating performance issues and optimizing queries
  • Testing disaster recovery scenarios

Wrap-Up and Q&A

  • Key Takeaways and Best Practices
  • Additional Resources and Next Steps
  • Open Q&A Session

Requirements

  • Foundational understanding of relational databases (PostgreSQL is preferred)
  • Familiarity with cloud computing concepts, specifically GCP
  • Prior experience in database administration or development
 21 Hours

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