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Course Outline
Introduction to PostgresAI
- Understanding PostgresAI architecture and components.
- Core concepts: cloning, snapshots, and sandbox environments.
- Enterprise adoption scenarios and ROI.
PostgresAI Installation and Configuration
- Deploying PostgresAI in Docker and Kubernetes environments.
- Integrating with PostgreSQL and external storage backends.
- 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 with PostgresAI clones.
Monitoring and Observability
- Using PostgresAI dashboards for performance insights.
- Monitoring clone health and query execution.
- Integration with Grafana, Prometheus, and ELK.
AI-Driven Query Optimization
- Leveraging AI-based recommendations for query improvement.
- Analyzing query plans and execution patterns.
- Continuous optimization using feedback loops.
Data Governance and Security
- Managing data masking and anonymization.
- Ensuring compliance in cloned environments.
- Audit logging and role-based access controls.
Integrating PostgresAI with Enterprise Workflows
- CI/CD integration using Jenkins, GitLab CI, or GitHub Actions.
- Automated testing pipelines for SQL and schema changes.
- Team collaboration and environment sharing best practices.
Scaling PostgresAI Operations
- Handling large datasets and multi-node clusters.
- Optimizing clone provisioning performance.
- Capacity planning and cost management.
Summary and Next Steps
Requirements
- A foundational understanding of PostgreSQL database administration.
- Hands-on 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.
