PostgreSQL Administration and Performance Monitoring Training Course

Course Introduction

The PostgreSQL Administration and Performance Monitoring Training Course provides a comprehensive practical framework for managing, securing, monitoring, and optimizing PostgreSQL database environments. It equips participants with the knowledge and technical capabilities required to administer PostgreSQL instances, maintain database reliability, monitor system health, troubleshoot operational issues, and support high-performing data services.

The course examines the PostgreSQL administration lifecycle, including installation, configuration, database and role management, storage architecture, authentication, security, backup, recovery, maintenance, monitoring, and performance optimization. Participants gain practical understanding of how PostgreSQL components interact and how administrative decisions influence availability, scalability, reliability, resource consumption, and application performance.

A major focus is placed on PostgreSQL performance monitoring and diagnostic analysis. Participants learn how to interpret database statistics, query execution information, wait behavior, locks, connections, transactions, cache utilization, I/O activity, CPU consumption, storage growth, and workload patterns. These capabilities enable administrators to identify performance bottlenecks, investigate abnormal behavior, and implement evidence-based improvements.

The program also addresses advanced PostgreSQL administration requirements, including indexing strategies, query optimization, vacuum and autovacuum management, transaction control, replication, high availability, partitioning, connection pooling, configuration tuning, and workload management. Participants explore how these technologies can be combined to support reliable PostgreSQL environments serving transactional, analytical, and enterprise applications.

Through practical exercises, participants develop administration procedures, monitoring dashboards, performance baselines, troubleshooting workflows, backup and recovery strategies, security configurations, maintenance schedules, capacity plans, and database optimization recommendations. The course emphasizes hands-on investigation of realistic PostgreSQL performance and administration scenarios so that participants can translate technical concepts into operational practices.

By the end of the PostgreSQL Administration and Performance Monitoring Training Course, participants will be able to administer PostgreSQL environments confidently, monitor database performance, diagnose bottlenecks, optimize queries and configurations, manage database security, implement backup and recovery processes, and contribute to highly available and resilient PostgreSQL services. They will also be able to establish structured monitoring and continuous improvement practices for long-term database performance.

Duration

10 days

Who Should Attend

• PostgreSQL database administrators responsible for database installation, configuration, maintenance, monitoring, security, and performance.

• Database administrators transitioning from other relational database platforms into PostgreSQL administration and operations.

• Database engineers responsible for designing, maintaining, optimizing, and troubleshooting PostgreSQL environments.

• Systems administrators managing servers, operating systems, storage, networking, and infrastructure supporting PostgreSQL databases.

• DevOps and platform engineers responsible for database deployment, automation, observability, availability, and infrastructure reliability.

• Data engineers working with PostgreSQL databases, pipelines, transactional workloads, and data-intensive applications.

• Application developers seeking deeper knowledge of PostgreSQL performance, query optimization, indexing, transactions, and database behavior.

• IT operations professionals responsible for database availability, capacity, monitoring, incident response, and service performance.

• Cloud engineers managing PostgreSQL deployments across public cloud, private cloud, hybrid, and containerized environments.

• Database support and technical support professionals diagnosing PostgreSQL connectivity, configuration, performance, and operational issues.

• Technology architects designing PostgreSQL database platforms, high-availability architectures, replication environments, and scalable data services.

• Cybersecurity and infrastructure security professionals responsible for PostgreSQL authentication, authorization, auditing, encryption, and database protection.

• Performance engineers and technical analysts investigating database workloads, resource utilization, query behavior, and system bottlenecks.

• IT managers and technical leads overseeing PostgreSQL infrastructure, database service reliability, performance management, and operational governance.

• Consultants and technical professionals involved in PostgreSQL migration, modernization, optimization, administration, and database performance improvement projects.

Course Objectives

• Develop a comprehensive understanding of PostgreSQL architecture, components, administration principles, database processes, storage structures, and operational dependencies.

• Install, configure, initialize, and manage PostgreSQL database environments using appropriate administrative practices and configuration techniques.

• Create and manage databases, schemas, tablespaces, roles, users, permissions, extensions, and other essential PostgreSQL objects.

• Configure PostgreSQL authentication, authorization, connection controls, security policies, logging, auditing, and access management mechanisms.

• Monitor PostgreSQL database health using system statistics, activity views, logs, operating-system metrics, and performance monitoring techniques.

• Analyze SQL queries and execution plans to identify inefficient operations, excessive resource consumption, poor indexing, and query optimization opportunities.

• Optimize PostgreSQL performance through configuration tuning, indexing, query improvements, memory management, storage optimization, and workload analysis.

• Manage vacuum, autovacuum, analyze, transaction behavior, table bloat, statistics, and maintenance processes to preserve database health and performance.

• Implement reliable PostgreSQL backup, restore, point-in-time recovery, replication, high-availability, and disaster recovery strategies.

• Diagnose common PostgreSQL performance, availability, locking, connection, storage, replication, and configuration problems using systematic troubleshooting methods.

• Establish effective performance baselines, monitoring dashboards, alerts, capacity plans, and operational metrics for continuous PostgreSQL performance management.

• Develop an integrated PostgreSQL administration and performance management approach that supports security, reliability, scalability, availability, and long-term operational efficiency.

Comprehensive Course Outline

Module 1: PostgreSQL Architecture and Administration Foundations

• PostgreSQL architecture, server processes, database clusters, databases, schemas, system catalogs, storage structures, and administrative components.

• Understanding PostgreSQL processes, sessions, connections, transactions, shared memory, background workers, WAL, and core database operations.

• PostgreSQL installation models, cluster initialization, service management, configuration files, environment requirements, and administrative workflows.

• Establishing operational standards for PostgreSQL administration, documentation, change management, maintenance, monitoring, and service support.

Module 2: PostgreSQL Installation, Configuration and Environment Management

• Installing PostgreSQL across Linux, Windows, cloud, virtualized, and containerized environments using appropriate deployment approaches.

• Configuring core PostgreSQL parameters covering connections, memory, WAL, checkpoints, logging, parallel processing, and resource utilization.

• Managing configuration files, parameter precedence, reloads, restarts, environment variables, extensions, and controlled configuration changes.

• Developing standardized PostgreSQL environment configurations for development, testing, staging, production, and high-availability deployments.

Module 3: Database Objects, Roles and Access Administration

• Creating and managing databases, schemas, tables, sequences, views, materialized views, functions, procedures, extensions, and tablespaces.

• Managing PostgreSQL roles, users, groups, privileges, ownership, default permissions, and role inheritance across database environments.

• Designing object-level access controls that support least privilege, separation of duties, application requirements, and administrative responsibilities.

• Developing database administration standards for object ownership, role lifecycle management, privilege reviews, and access governance.

Module 4: PostgreSQL Security and Authentication Management

• Configuring PostgreSQL authentication methods using pg_hba.conf and appropriate local, host-based, certificate, password, and identity controls.

• Applying encryption, secure connections, certificate management, password policies, privileged access controls, and secure administrative practices.

• Implementing logging and auditing approaches for authentication activity, administrative actions, database access, and security-relevant events.

• Assessing PostgreSQL security configurations to identify excessive privileges, weak authentication controls, exposed services, and administrative risks.

Module 5: PostgreSQL Storage, Transactions and Workload Management

• Understanding PostgreSQL storage architecture, pages, tuples, tables, indexes, TOAST, tablespaces, files, and physical data organization.

• Managing transactions, isolation levels, MVCC, locks, deadlocks, concurrency, commit behavior, and transaction-related performance considerations.

• Analyzing connection usage, workload characteristics, session behavior, long-running transactions, idle sessions, and resource contention.

• Applying workload management techniques to balance transactional performance, resource utilization, concurrency, and application requirements.

Module 6: Backup, Restore and PostgreSQL Recovery

• Designing logical and physical backup strategies using PostgreSQL tools and methods appropriate for database size, business requirements, and recovery objectives.

• Performing database restoration, point-in-time recovery, WAL archiving, recovery validation, and controlled restoration procedures.

• Developing backup schedules, retention policies, backup monitoring, integrity checks, recovery documentation, and restoration testing programs.

• Troubleshooting backup and recovery failures while maintaining data consistency, availability, security, and operational continuity.

Module 7: PostgreSQL Monitoring and Observability

• Monitoring database activity using PostgreSQL system views, statistics collectors, logs, process information, and database activity indicators.

• Tracking connections, sessions, transactions, locks, cache behavior, I/O activity, checkpoints, WAL generation, temporary files, and background processes.

• Developing performance dashboards and monitoring frameworks using database metrics, operating-system indicators, application telemetry, and observability platforms.

• Establishing alerts and thresholds for abnormal database behavior, resource exhaustion, connection problems, replication issues, and performance degradation.

Module 8: Query Performance Analysis and Optimization

• Understanding PostgreSQL query planning, cost estimation, execution plans, sequential scans, index scans, joins, sorting, aggregation, and parallel query operations.

• Using EXPLAIN and EXPLAIN ANALYZE to investigate query execution behavior, resource consumption, row estimates, execution time, and bottlenecks.

• Identifying inefficient SQL patterns, inappropriate joins, unnecessary data retrieval, poor filtering, expensive sorting, and suboptimal query structures.

• Applying query rewriting, indexing, statistics management, and configuration improvements to achieve measurable performance gains.

Module 9: Indexing, Statistics and Table Maintenance

• Designing B-tree, Hash, GiST, SP-GiST, GIN, BRIN, partial, expression, and multicolumn indexes according to workload characteristics.

• Evaluating index effectiveness, index size, maintenance overhead, unused indexes, duplicate indexes, and trade-offs between read and write performance.

• Managing ANALYZE, table statistics, extended statistics, planner estimates, data distribution, and statistics targets for reliable query planning.

• Applying VACUUM, autovacuum, VACUUM FULL, REINDEX, and related maintenance techniques to control bloat and sustain database health.

Module 10: PostgreSQL Performance Tuning and Capacity Management

• Tuning memory parameters, shared buffers, work memory, maintenance memory, effective cache settings, checkpoint behavior, WAL configuration, and parallel processing.

• Establishing database performance baselines covering throughput, latency, transactions per second, query response time, resource utilization, and workload characteristics.

• Analyzing CPU, memory, disk I/O, storage latency, network activity, connection utilization, and database-level resource consumption.

• Developing capacity plans and performance improvement strategies based on workload growth, historical trends, application requirements, and infrastructure constraints.

Module 11: Locking, Concurrency and Troubleshooting

• Investigating locks, blocking sessions, deadlocks, long-running transactions, idle-in-transaction sessions, and concurrency-related performance problems.

• Using PostgreSQL activity and lock information to identify blocking relationships, transaction dependencies, and operational bottlenecks.

• Developing systematic troubleshooting procedures for connection failures, slow queries, high CPU utilization, memory pressure, storage problems, and database unavailability.

• Building incident response workflows that combine database evidence, operating-system metrics, application behavior, logs, and performance history.

Module 12: Replication, High Availability and Disaster Recovery

• Understanding PostgreSQL streaming replication, physical replication, replication slots, WAL transmission, standby servers, and replication monitoring.

• Designing high-availability architectures using primary and standby databases, failover mechanisms, load distribution, and appropriate recovery strategies.

• Monitoring replication lag, WAL activity, standby health, replication failures, synchronization status, and recovery performance.

• Developing disaster recovery procedures covering failover, promotion, recovery validation, service restoration, data consistency, and post-recovery verification.

Module 13: PostgreSQL in Cloud, Containers and Scalable Environments

• Deploying and administering PostgreSQL in public cloud, private cloud, hybrid, virtualized, and containerized infrastructure environments.

• Managing cloud database resources, storage performance, networking, automated backups, monitoring services, scaling options, and operational controls.

• Understanding PostgreSQL deployment using containers, orchestration platforms, persistent storage, configuration management, and automated provisioning.

• Evaluating scalability approaches including read replicas, connection pooling, partitioning, workload distribution, and infrastructure expansion.

Module 14: Automation, DevOps and Database Operations

• Automating PostgreSQL installation, configuration, database provisioning, user management, backup operations, monitoring, and routine maintenance tasks.

• Integrating PostgreSQL administration with DevOps practices, infrastructure as code, configuration management, CI/CD pipelines, and controlled database changes.

• Developing operational scripts and automation workflows for health checks, performance diagnostics, capacity reporting, backup verification, and maintenance activities.

• Establishing automation governance covering testing, version control, security, rollback procedures, change approval, monitoring, and operational accountability.

Module 15: Advanced Performance Monitoring and Continuous Optimization

• Developing advanced performance monitoring frameworks that correlate database metrics with application behavior, infrastructure utilization, and business service performance.

• Applying trend analysis, historical baselines, anomaly detection, workload profiling, and predictive capacity techniques to identify emerging performance risks.

• Establishing performance management processes covering measurement, diagnosis, optimization, validation, documentation, and continuous improvement.

• Building executive and technical performance reports that communicate database health, service availability, optimization outcomes, capacity risks, and operational priorities.

Module 16: Integrated PostgreSQL Administration and Performance Project

• Designing an end-to-end PostgreSQL administration framework covering installation, configuration, security, database management, monitoring, backup, recovery, and maintenance.

• Conducting a practical performance investigation involving slow queries, resource contention, locking, indexing, configuration, storage, and workload-related bottlenecks.

• Developing an integrated monitoring dashboard, performance baseline, optimization plan, backup strategy, recovery procedure, security configuration, and operational runbook.

• Presenting a practical PostgreSQL administration project demonstrating how monitoring, diagnostics, optimization, automation, security, and resilience can improve database service performance.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.