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Duration 21 hours
Course Outline
Introduction to PostgresAI
- Exploring PostgresAI architecture and its key components.
- Core concepts: cloning, snapshots, and sandbox environments.
- Enterprise adoption scenarios and return on investment (ROI).
PostgresAI Installation and Configuration
- Deploying PostgresAI within Docker and Kubernetes environments.
- Integrating with PostgreSQL and various external storage backends.
- Setting up authentication and access management protocols.
Database Cloning and Experimentation
- Creating instant database clones using thin provisioning techniques.
- Safely testing schema changes within ephemeral environments.
- Accelerating CI/CD processes with PostgresAI clones.
Monitoring and Observability
- Leveraging PostgresAI dashboards for deep performance insights.
- Monitoring clone health and query execution metrics.
- Integration strategies with Grafana, Prometheus, and ELK stacks.
AI-Driven Query Optimization
- Implementing AI-based recommendations for query improvement.
- Analyzing query plans and execution patterns for bottlenecks.
- Establishing continuous optimization through feedback loops.
Data Governance and Security
- Managing data masking and anonymization practices.
- Ensuring compliance standards in 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 cluster configurations.
- Optimizing clone provisioning performance for speed.
- Strategies for capacity planning and cost management.
Summary and Next Steps
Requirements
- A solid understanding of PostgreSQL database administration.
- Proven experience working with Linux server environments.
- Familiarity with containerized or virtualized deployment workflows.
Audience
- Database administrators.
- DevOps and Site Reliability Engineering (SRE) 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.
