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Course Outline
Introduction to PostgresAI
- Exploring the architecture and core components of PostgresAI.
- Key concepts: cloning, snapshots, and sandbox environments.
- Enterprise adoption scenarios and return on investment.
Installing and Configuring PostgresAI
- Deploying PostgresAI within Docker and Kubernetes environments.
- Connecting with PostgreSQL and external storage backends.
- Managing authentication and access controls.
Database Cloning and Experimentation
- Creating instant database clones via thin provisioning.
- Safely testing schema changes using ephemeral environments.
- Accelerating CI/CD processes with PostgresAI clones.
Monitoring and Observability
- Gaining performance insights through PostgresAI dashboards.
- Monitoring clone health and query execution metrics.
- Integrating with Grafana, Prometheus, and ELK.
AI-Driven Query Optimization
- Leveraging AI-based recommendations for query enhancement.
- Analyzing query plans and execution patterns.
- Achieving continuous optimization via feedback loops.
Data Governance and Security
- Managing data masking and anonymization strategies.
- 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.
- Automated testing pipelines for SQL and schema updates.
- 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
- Knowledge of PostgreSQL database administration.
- Experience working with Linux server environments.
- Familiarity with deployment workflows in containerized or virtualized setups.
Target Audience
- Database administrators.
- DevOps and SRE engineers.
- Data infrastructure architects.
21 Hours
Testimonials (2)
The provided examples and labs
Christophe OSTER - EU Lisa
Course - PostgreSQL Advanced DBA
1. A very well-structured training program 2. The warm atmosphere the trainer created, along with his outstanding personal professionalism 3. That the trainer explained everything as if he were talking to a complete beginner, without slipping into any technical jargon.
