PostgreSQL Performance Tuning -

PostgreSQL Performance Tuning

Duration : 3 Days (24 Hours)

Overview

Course Details

Prerequisites

PostgreSQL Performance Tuning Course Overview:

The PostgreSQL Performance Tuning certification validates an individual’s expertise in optimizing the performance of PostgreSQL, a sophisticated open-source database management system. This credential revolves around refining PostgreSQL configurations, optimizing database efficiency, query enhancement, and comprehending server behavior. Industries rely on this certification to confirm a professional’s capacity to enhance database performance, thereby improving their overall data management system.

This certification attests to an individual’s proficiency in employing diverse PostgreSQL tools and strategies to identify performance bottlenecks, apply suitable remedies, and effectively manage the overall database workload. This ensures data accessibility, precision, and reliability, making it a vital certification for both database administrators and IT professionals.

Intended Audience:

Database administrators looking to optimize PostgreSQL performance.
IT professionals responsible for managing and maintaining databases.
Software engineers or developers working with PostgreSQL.
System architects aiming to improve system efficiency.
IT consultants seeking knowledge on PostgreSQL tuning.
Tech students or professionals interested in gaining expert skills in PostgreSQL.

Learning Objectives of PostgreSQL Performance Tuning:

The key learning objectives of a PostgreSQL Performance Tuning course are:

Optimizing PostgreSQL Performance: Students will gain the knowledge and tools necessary to enhance the performance of PostgreSQL databases.
Indexing Strategies: Understanding the significance of indexing and learning effective implementation techniques to improve query execution and data retrieval.
Performance Problem Identification and Troubleshooting: Developing the skills to identify and troubleshoot performance issues within PostgreSQL databases.
Tuning and Maintenance: Acquiring techniques for tuning and maintaining databases to achieve optimal performance consistently.
Utilizing Metrics and Configurations: Learning how to leverage metrics, configurations, and extensions to enhance the overall efficiency of PostgreSQL databases.
Peak Efficiency: By the course’s conclusion, students will be proficient in ensuring that PostgreSQL databases operate at peak efficiency, delivering optimal performance.

Module 1: Introduction to PostgreSQL

Overview of PostgreSQL
PostgreSQL Architecture
PostgreSQL Installation and Configuration
PostgreSQL Security
PostgreSQL Performance Tuning Basics
PostgreSQL Indexing Strategies
PostgreSQL Query Optimization
PostgreSQL Database Monitoring
PostgreSQL Backup and Recovery
PostgreSQL Troubleshooting and Debugging

Module 2: Understanding Database Performance

Introduction to PostgreSQL Performance Tuning
Analyzing Database Performance with PostgreSQL
Optimizing PostgreSQL Queries
Indexing Strategies for PostgreSQL
PostgreSQL Configuration Parameters
PostgreSQL Monitoring and Troubleshooting
PostgreSQL Caching and Memory Management
PostgreSQL Replication and High Availability
PostgreSQL Security and Auditing
PostgreSQL Backup and Recovery

Module 3: PostgreSQL Configuration

Introduction to PostgreSQL Configuration
Configuring PostgreSQL for Performance
Understanding PostgreSQL Memory Settings
Configuring PostgreSQL for High Availability
Optimizing PostgreSQL for Read/Write Performance
Configuring PostgreSQL for Security
Troubleshooting PostgreSQL Performance Issues
Monitoring PostgreSQL Performance
Automating PostgreSQL Configuration
Advanced PostgreSQL Configuration Techniques

Module 4: Indexing Strategies

Understanding Index Types and Usage
Analyzing Index Performance
Creating and Managing Indexes
Indexing Strategies for Different Query Types
Indexing Strategies for Large Tables
Indexing Strategies for Joins
Indexing Strategies for Aggregate Queries
Indexing Strategies for Subqueries
Indexing Strategies for Partitioned Tables
Indexing Strategies for Materialized Views

Module 5: Query Optimization

Understanding Query Execution Plans
Analyzing Query Performance
Indexing Strategies for Query Optimization
Using EXPLAIN to Debug Queries
Using EXPLAIN ANALYZE to Monitor Performance
Using EXPLAIN VERBOSE to Analyze Queries
Using pg_stat_statements to Monitor Performance
Using pg_stat_activity to Monitor Performance
Using pg_stat_user_tables to Monitor Performance
Using pg_stat_user_indexes to Monitor Performance
Using pg_stat_user_functions to Monitor Performance
Using pg_stat_replication to Monitor Performance
Using pg_buffercache to Monitor Performance
Using pg_locks to Monitor Performance
Using pg_settings to Monitor Performance
Using pg_stat_all_tables to Monitor Performance
Using pg_stat_all_indexes to Monitor Performance
Using pg_stat_all_functions to Monitor Performance
Using pg_stat_activity_snapshot to Monitor Performance
Using pg_stat_statements_snapshot to Monitor Performance

Module 6: Monitoring and Troubleshooting

Introduction to PostgreSQL Performance Monitoring
Analyzing PostgreSQL Performance Metrics
Identifying and Resolving PostgreSQL Performance Issues
PostgreSQL Performance Tuning Strategies
PostgreSQL Performance Tuning Tools
PostgreSQL Performance Tuning Best Practices
PostgreSQL Performance Tuning Troubleshooting
PostgreSQL Performance Tuning Tips and Tricks
PostgreSQL Performance Tuning Case Studies
PostgreSQL Performance Tuning in the Cloud

Module 7: Advanced Performance Tuning Techniques

Analyzing PostgreSQL Performance with EXPLAIN
Optimizing PostgreSQL Queries with Indexes
Using PostgreSQL Statistics to Improve Performance
Advanced PostgreSQL Configuration Parameters
PostgreSQL Query Planner and Optimizer
PostgreSQL Performance Monitoring and Tuning
PostgreSQL Caching and Buffering
PostgreSQL Logging and Auditing
PostgreSQL Partitioning and Sharding
PostgreSQL Replication and High Availability

Module 8: Database Partitioning

Introduction to Database Partitioning
Benefits of Database Partitioning
Types of Database Partitioning
Implementing Database Partitioning in PostgreSQL
Managing Partitions in PostgreSQL
Performance Tuning with Database Partitioning
Troubleshooting Database Partitioning Issues
Best Practices for Database Partitioning in PostgreSQL

Module 9: Database Replication

Overview of Database Replication
Setting up Replication in PostgreSQL
Configuring Replication for Performance
Troubleshooting Replication Issues
Strategies for Optimizing Replication Performance
Monitoring Replication Performance
Advanced Replication Techniques
Automating Replication Tasks
Security Considerations for Replication
Best Practices for Database Replication

Module 10: Backup and Recovery Strategies

Introduction to Backup and Recovery Strategies
Understanding the Different Types of Backups
Planning and Implementing a Backup Strategy
Automating Backup and Recovery Processes
Disaster Recovery Planning
Point-in-Time Recovery
Backup Compression and Encryption
Backup and Recovery Tools for PostgreSQL
Monitoring and Troubleshooting Backup and Recovery
Best Practices for Backup and Recovery

PostgreSQL Performance Tuning Course Prerequisites:

Basic understanding of PostgreSQL database.
Knowledge of SQL commands and queries.
Familiarity with Linux-based systems.
Understanding of relational database concepts.
Experience in PostgreSQL database administration.
Knowledge of IT infrastructure and storage systems.
Good understanding of hardware, I/O, and network configurations.

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Training Exclusives

This course comes with following benefits:

Practice Labs.
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Access to the recordings of your class sessions for 90 days.
Digital courseware
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