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PostgreSQL Performance Tuning

IT-2616

Course Code

4 Days

Duration

4

Upcoming Dates

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Sector Name

Information Technology

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06 Dec 2026 | 09 Dec 2026
Doha, Qatar
$4,250
Limited Seats
29 Mar 2027 | 01 Apr 2027
Abu Dhabi, UAE
$4,250
Upcoming
24 May 2027 | 27 May 2027
Dubai, UAE
$4,250
Upcoming
30 Aug 2027 | 02 Sept 2027
Geneva, switzerland
$5,950
Upcoming

Course Introduction

The PostgreSQL Performance Tuning course is an in-depth program designed to equip learners with the skills necessary to optimize the performance of PostgreSQL databases. This comprehensive course covers various aspects of tuning and monitoring PostgreSQL instances to ensure they operate efficiently and handle high loads effectively.


Starting with an introduction to PostgreSQL and its architecture, the course proceeds to cover installation, configuration, security, and the basics of performance tuning. Learners will delve into advanced topics such as Indexing strategies, Query optimization, Configuration tweaks, and the use of Performance monitoring tools. Understanding and implementing Database partitioning, Replication, and devising robust Backup and recovery strategies are also key components of the curriculum.

By the end of the course, participants will be well-versed in PostgreSQL performance tuning, enabling them to identify bottlenecks, optimize queries, configure databases for high performance, and ensure Reliability and high availability of PostgreSQL systems.

Course Objectives

  • Understand the internal architecture of PostgreSQL for better performance tuning.
  • Install, configure, and secure PostgreSQL for optimal operation.
  • Apply best practices in indexing and query optimization to enhance database efficiency.
  • Monitor database performance using PostgreSQL's built-in statistics and diagnostic tools.
  • Implement effective backup and recovery strategies to ensure data integrity.
  • Configure PostgreSQL settings for high availability and read/write performance optimization.
  • Troubleshoot and resolve common performance issues in PostgreSQL.
  • Use partitioning and replication to scale PostgreSQL and improve load management.
  • Automate and manage PostgreSQL configuration for consistent performance across environments.
  • Leverage advanced performance tuning techniques for complex scenarios and cloud deployments.
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