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Duration 21 hours
Course Outline
Introduction to PostgresAI
- Comprehending PostgresAI architecture and its core components
- Key concepts: cloning, snapshots, and sandbox environments
- Scenarios for enterprise adoption and return on investment
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
- Streamlining CI/CD processes with PostgresAI clones
Monitoring and Observability
- Leveraging PostgresAI dashboards for performance insights
- Tracking clone health and query execution metrics
- Integrating with Grafana, Prometheus, and ELK
AI-Driven Query Optimization
- Utilizing AI-based recommendations to improve queries
- Analyzing query plans and execution patterns
- Implementing continuous optimization through feedback loops
Data Governance and Security
- Managing data masking and anonymization processes
- 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
- Enhancing clone provisioning performance
- Capacity planning and cost management strategies
Summary and Next Steps
Requirements
- A solid understanding of PostgreSQL database administration
- Experience working with Linux server environments
- Familiarity with containerized or virtualized deployment workflows
Audience
- Database administrators
- DevOps and 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.