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Duration 21 hours
Course Outline
Introduction to PostgresAI
- Exploring the architecture and key components of PostgresAI
- Essential concepts: cloning, snapshots, and sandboxing
- Enterprise use cases and return on investment analysis
Installing and Configuring PostgresAI
- Deployment strategies for Docker and Kubernetes environments
- Connecting PostgresAI with PostgreSQL and external storage systems
- Setting up authentication and managing user access
Database Cloning and Safe Experimentation
- Generating rapid database clones via thin provisioning
- Validating schema changes within temporary, isolated environments
- Streamlining CI/CD processes using PostgresAI clones
Monitoring and Observability
- Utilizing PostgresAI dashboards to gain performance insights
- Tracking the health and query execution of clones
- Integrating with Grafana, Prometheus, and ELK stacks
AI-Driven Query Optimization
- Applying AI-based suggestions to improve query performance
- Deep-dive analysis of query plans and execution patterns
- Implementing continuous optimization through feedback loops
Data Governance and Security
- Oversight of data masking and anonymization procedures
- Maintaining compliance standards within cloned environments
- Implementing audit logs and role-based access controls
Integrating PostgresAI into Enterprise Workflows
- CI/CD integration using Jenkins, GitLab CI, or GitHub Actions
- Automating test pipelines for SQL and schema modifications
- Best practices for team collaboration and environment sharing
Scaling PostgresAI Operations
- Managing large datasets and multi-node cluster configurations
- Enhancing the performance of clone provisioning
- Strategic capacity planning and cost oversight
Conclusion and Future Steps
Requirements
- Solid knowledge of PostgreSQL database administration
- Practical experience with Linux server operations
- Working knowledge of containerized or virtualized deployment processes
Target Audience
- Database Administrators
- DevOps and Site Reliability Engineers
- Data Infrastructure Architects
Testimonials (2)
Tuning strategies.
Jeffrey Zieg - Matrix Consulting
Course - PostgreSQL Performance Tuning
Logging behaviour when the instance is under stress, and the hierarchy/nomenclature of instances, databases, files, etc.