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 Duration 21 hours

Course Outline

Foundations of PostgresAI

  • Examining the PostgresAI architecture and its key components.
  • Core principles: cloning, snapshots, and sandbox environments.
  • Enterprise adoption cases and return on investment.

Setting Up PostgresAI

  • Deploying PostgresAI within Docker and Kubernetes ecosystems.
  • Connecting to PostgreSQL and external storage backends.
  • Managing authentication and access controls.

Database Cloning and Testing

  • Generating instant database clones via thin provisioning.
  • Safely testing schema modifications using ephemeral environments.
  • Expediting CI/CD processes with PostgresAI clones.

Monitoring and Observability

  • Utilising PostgresAI dashboards for performance insights.
  • Tracking clone health and query execution metrics.
  • Integration with Grafana, Prometheus, and ELK.

AI-Assisted Query Optimisation

  • Applying AI-based recommendations to improve query efficiency.
  • Evaluating query plans and execution patterns.
  • Implementing continuous optimisation through feedback loops.

Data Governance and Security

  • Overseeing data masking and anonymisation processes.
  • Maintaining compliance standards within cloned environments.
  • Implementing audit logging and role-based access controls.

Embedding PostgresAI in Enterprise Workflows

  • Integrating with CI/CD using Jenkins, GitLab CI, or GitHub Actions.
  • Establishing automated testing pipelines for SQL and schema updates.
  • Best practices for team collaboration and environment sharing.

Expanding PostgresAI Operations

  • Managing large datasets and multi-node clusters.
  • Enhancing clone provisioning performance.
  • Capacity planning and cost management strategies.

Conclusions and Future Directions

Requirements

  • A solid grasp of PostgreSQL database administration.
  • Practical experience with Linux server environments.
  • Familiarity with containerised or virtualised deployment workflows.

Target Audience

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

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