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Course Outline

Introduction to PostgresAI

  • Exploring PostgresAI architecture and its core components.
  • Key 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 external storage backends.
  • Managing authentication and access controls.

Database Cloning and Experimentation

  • Creating instant database clones using thin provisioning.
  • Safely testing schema changes within ephemeral environments.
  • Accelerating CI/CD processes with PostgresAI clones.

Monitoring and Observability

  • Leveraging PostgresAI dashboards for performance insights.
  • Monitoring clone health and query execution status.
  • Integrating with Grafana, Prometheus, and ELK stack.

AI-Driven Query Optimization

  • Utilizing AI-based recommendations to enhance 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.
  • Handling audit logging and role-based access controls.

Integrating PostgresAI with Enterprise Workflows

  • Implementing CI/CD integration via Jenkins, GitLab CI, or GitHub Actions.
  • Automating testing pipelines for SQL and schema modifications.
  • Sharing best practices for team collaboration and environment sharing.

Scaling PostgresAI Operations

  • Managing large datasets and multi-node clusters.
  • Optimizing the performance of clone provisioning.
  • Conducting capacity planning and cost management.

Summary and Next Steps

Requirements

  • A solid understanding of PostgreSQL database administration.
  • Practical experience with Linux server environments.
  • Familiarity with containerized or virtualized deployment workflows.

Audience

  • Database administrators.
  • DevOps and SRE engineers.
  • Data infrastructure architects.
 21 Hours

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