PostgreSQL Advanced DBA

Advance your database administration expertise with PostgreSQL Advanced DBA Training, a practical program designed for experienced database administrators, PostgreSQL professionals, developers, system administrators, and IT specialists responsible for managing production database environments.

 

Duration 3 days – 21 hrs

 

Overview

 

This PostgreSQL Advanced DBA Training Course is designed for experienced PostgreSQL database administrators who want to deepen their knowledge and expertise in advanced PostgreSQL features, performance tuning, replication, high availability, disaster recovery, and troubleshooting techniques. The course covers the advanced aspects of PostgreSQL database management, focusing on optimizing large-scale databases, setting up complex replication and clustering systems, and ensuring high availability and data integrity. By the end of the course, participants will be equipped to manage PostgreSQL databases efficiently in a production environment, addressing performance issues and implementing robust backup and recovery strategies. This PostgreSQL Advanced DBA Training Course will provide participants with the advanced skills and knowledge needed to effectively manage large, high-performance PostgreSQL environments. From advanced performance tuning to setting up high availability and disaster recovery strategies, this course will equip your team to handle complex PostgreSQL databases in production environments, ensuring both reliability and scalability.

 

Learning Objectives

 

• Gain an in-depth understanding of advanced PostgreSQL architecture and its components.
• Master PostgreSQL performance tuning and optimization techniques for high-demand environments.
• Implement complex replication setups and ensure high availability and fault tolerance.
• Develop expertise in managing and scaling PostgreSQL databases in production environments. Learn advanced troubleshooting and debugging techniques for PostgreSQL issues.
• Enhance skills for implementing robust backup, recovery, and disaster recovery solutions.

 

Audience

 

• Database Administrators (DBAs) with prior experience in PostgreSQL.
• IT professionals managing PostgreSQL databases in production environments.
• System Administrators and Support Engineers responsible for database maintenance.
• Advanced users seeking to deepen their knowledge of PostgreSQL’s advanced features.
• Developers interested in optimizing PostgreSQL for large-scale, high-performance applications.

 

Pre- requisites

• Solid understanding of PostgreSQL administration (installation, basic configuration, backup and recovery).
• Familiarity with PostgreSQL replication and clustering concepts.
• Experience working with SQL and query optimization in PostgreSQL.
• Basic understanding of Linux/Unix-based systems and command-line tools.
• Previous exposure to PostgreSQL performance tuning and troubleshooting is beneficial.

 

Course Content

 

Day 1: Advanced PostgreSQL Architecture and Performance Tuning

 

• Module 1: PostgreSQL Internal Architecture

  • Overview of PostgreSQL internals: processes, memory, and storage.
  • Understanding the architecture behind query planning and execution.
  • Deep dive into the PostgreSQL storage engine and the WAL (Write-Ahead Logging) mechanism.
  • Managing tablespaces, partitioning strategies, and their role in large databases.

 

• Module 2: PostgreSQL Performance Tuning

  • Advanced query optimization strategies and analyzing execution plans.
  • Understanding and using EXPLAIN and EXPLAIN ANALYZE to analyze complex queries.
  • Optimizing indexes: B-tree, GIN, GiST, BRIN, and partial indexes.
  • Tuning PostgreSQL memory settings, cache management, and work memory.
  • Identifying and resolving performance bottlenecks with pg_stat_activity, pg_stat_statements, and pg_stat_io.
  • Advanced tuning for multi-core systems and high-performance environments.

 

• Module 3: PostgreSQL Locking, Concurrency, and Deadlock Management

  • Understanding transaction isolation levels and their impact on locking.
  • Analyzing and managing deadlocks in PostgreSQL.
  • Techniques for reducing lock contention and improving concurrency.
  • Optimizing the vacuum process and understanding the role of autovacuum.

 

Day 2: Advanced Replication, High Availability, and Disaster Recovery

 

• Module 4: PostgreSQL Replication Techniques

  • Introduction to replication concepts: streaming replication, logical replication.
  • Setting up and configuring synchronous and asynchronous streaming replication.
  • Advanced replication configurations: cascading replication, replication delays, and handling replication lag.
  • Managing replication slots and WAL archiving for reliable replication.
  • Setting up logical replication for fine-grained data replication across databases.

 

• Module 5: High Availability and Failover

  • Designing and implementing high availability for PostgreSQL databases.
  • Using tools like Patroni, pg_auto_failover, and Repmgr for automated failover.
  • Configuring and managing PostgreSQL clusters for high availability.
  • Setting up read replicas and managing load balancing with PgBouncer and HAProxy.
  • Ensuring data integrity with synchronous replication and failover scenarios.
  • Implementing disaster recovery strategies and ensuring minimal downtime.

 

• Module 6: Backup, Restore, and Point-in-Time Recovery (PITR)

  • Advanced PostgreSQL backup strategies: full, incremental, and differential backups.
  • Setting up WAL archiving and managing backups with pg_basebackup.
  • Performing point-in-time recovery (PITR) and understanding its use cases.
  • Automating backup and restore processes for large PostgreSQL databases.
  • Best practices for database disaster recovery and ensuring business continuity.

 

Day 3: Troubleshooting, Security, and Scaling PostgreSQL

 

• Module 7: Advanced PostgreSQL Troubleshooting

  • Diagnosing and resolving common PostgreSQL issues.
  • Analyzing slow queries and understanding query execution plans.
  • Resolving replication issues and maintaining consistency across replicas.
  • Using PostgreSQL logs for diagnosing performance and security issues.
  • Leveraging external monitoring tools like pgBadger, Prometheus, and Grafana.

 

• Module 8: PostgreSQL Security Best Practices

  • Securing PostgreSQL: encryption, SSL, and secure access methods.
  • Managing user roles and permissions for sensitive data.
  • Configuring authentication with LDAP, Kerberos, and certificate-based methods.
  • Implementing row-level security (RLS) and auditing database activity for compliance.
  • Securing replication and high availability setups.

 

• Module 9: Scaling PostgreSQL for Large Applications

  • Horizontal and vertical scaling strategies for PostgreSQL.
  • Implementing partitioning strategies for large tables (range, list, and hash partitioning).
  • Scaling out PostgreSQL with sharding and federated databases.
  • Using tools like pg_partman for automatic partition management.
  • Performance considerations when dealing with large data sets and scaling PostgreSQL clusters.