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Course Outline
Introduction to PostgresAI
- Exploring PostgresAI architecture and core components
- Key concepts: cloning, snapshots, and sandbox environments
- Enterprise adoption scenarios and return on investment (ROI)
PostgresAI Installation and Configuration
- Deploying PostgresAI in Docker and Kubernetes environments
- Integrating with PostgreSQL and external storage backends
- Setting up authentication and access management
Database Cloning and Experimentation
- Creating instant database clones using thin provisioning
- Safely testing schema changes with ephemeral environments
- Accelerating CI/CD processes with PostgresAI clones
Monitoring and Observability
- Utilizing PostgresAI dashboards for deep performance insights
- Monitoring clone health and query execution metrics
- Integrating with Grafana, Prometheus, and ELK stacks
AI-Driven Query Optimization
- Leveraging AI-based recommendations for query improvement
- Analyzing query plans and execution patterns
- Implementing continuous optimization using feedback loops
Data Governance and Security
- Managing data masking and anonymization strategies
- Ensuring compliance within cloned environments
- Implementing audit logging and role-based access controls
Integrating PostgresAI with Enterprise Workflows
- CI/CD integration using Jenkins, GitLab CI, or GitHub Actions
- Building automated testing pipelines for SQL and schema changes
- Best practices for team collaboration and environment sharing
Scaling PostgresAI Operations
- Managing large datasets and multi-node clusters
- Optimizing clone provisioning performance
- Capacity planning and cost management strategies
Summary and Next Steps
Requirements
- Solid understanding of PostgreSQL database administration.
- Practical experience with Linux server environments.
- Familiarity with containerized or virtualized deployment workflows.
Target Audience
- Database administrators.
- DevOps and SRE engineers.
- Data infrastructure architects.
21 Hours
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.
