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Course Outline
Introduction to PostgresAI
- Exploring the architecture and core components of PostgresAI.
- Key concepts: database cloning, snapshot management, and sandbox environments.
- Examining enterprise adoption scenarios and potential return on investment.
Installing and Configuring PostgresAI
- Deploying PostgresAI across Docker and Kubernetes ecosystems.
- Connecting PostgresAI with PostgreSQL instances and external storage backends.
- Setting up authentication mechanisms and access management protocols.
Database Cloning and Experimentation
- Creating rapid database clones utilizing thin provisioning techniques.
- Safely testing schema modifications within ephemeral environments.
- Enhancing CI/CD pipeline efficiency using PostgresAI clones.
Monitoring and Observability
- Leveraging PostgresAI dashboards to gain deep performance insights.
- Tracking clone health status and monitoring query execution metrics.
- Integrating with industry-standard tools like Grafana, Prometheus, and the ELK stack.
AI-Driven Query Optimization
- Applying AI-based recommendations to enhance query efficiency.
- In-depth analysis of query plans and execution patterns.
- Implementing continuous optimization strategies through iterative feedback loops.
Data Governance and Security
- Managing data masking and anonymization processes.
- Maintaining regulatory compliance within cloned environments.
- Implementing audit logging and role-based access controls.
Integrating PostgresAI into Enterprise Workflows
- Connecting PostgresAI with CI/CD systems such as Jenkins, GitLab CI, or GitHub Actions.
- Building automated testing pipelines for SQL and schema changes.
- Adopting best practices for team collaboration and environment sharing.
Scaling PostgresAI Operations
- Managing large datasets and multi-node cluster configurations.
- Optimizing the performance of clone provisioning processes.
- Strategic capacity planning and cost management techniques.
Summary and Next Steps
Requirements
- A solid understanding of PostgreSQL database administration principles.
- Practical experience managing Linux server environments.
- Familiarity with deployment workflows involving containerization or virtualization.
Target Audience
- Database Administrators.
- DevOps and Site Reliability Engineering (SRE) professionals.
- 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.