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Advanced PostgreSQL Optimization for Systems Engineers

$199.00
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What is the PostgreSQL Optimization for Systems Engineers course about?

Even experienced systems engineers face challenges when PostgreSQL grows beyond defaults, uncontrolled WAL generation, replication lag, and silent index degradation can undermine system stability and team velocity. Without a structured approach, troubleshooting becomes reactive, time-consuming, and prone to partial fixes.

What situation is the PostgreSQL Optimization for Systems Engineers for?

Even experienced systems engineers face challenges when PostgreSQL grows beyond defaults, uncontrolled WAL generation, replication lag, and silent index degradation can undermine system stability and team velocity. Without a structured approach, troubleshooting becomes reactive, time-consuming, and prone to partial fixes.

Who is the PostgreSQL Optimization for Systems Engineers course for?

A systems engineer in a regulated or high-transaction environment who manages PostgreSQL in production and needs to ensure reliability, performance, and automation at scale.

Who is the PostgreSQL Optimization for Systems Engineers course not for?

This is not for developers using PostgreSQL as an app backend, junior admins running basic queries, or teams evaluating database alternatives. It’s for engineers already responsible for live PostgreSQL systems who need deeper operational control.

What do you take away from the PostgreSQL Optimization for Systems Engineers course?

Diagnose and eliminate root causes of PostgreSQL performance degradation Design automated log and WAL lifecycle management to prevent disk exhaustion Implement replication topologies that scale with business demand Optimize vacuum and autovacuum strategies for high-write environments Build self-healing monitoring frameworks using observability-first principles.

How does this map to your situation?

Managing high-write databases with growing WAL Troubleshooting replication lag in distributed systems Reducing manual toil in database maintenance Hardening production databases in regulated environments.

What's included with your purchase?

12 modules with 12 chapters each (144 chapters) Downloadable templates and worked examples for every module Hand-built implementation playbook delivered alongside course access 30-day money-back guarantee.

What does the PostgreSQL Optimization for Systems Engineers cover on delivery and format?

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access. Time investment: Approximately 3 hours per module, designed for engineers to apply concepts incrementally while maintaining production systems.

Closely related courses: PostgreSQL Performance Optimization for Real-Time, Tailored IT Systems Optimization for Engineers, Epicor ERP Optimization for Manufacturing Engineers, Combinatorial Optimization and Systems Engineering.

More answers: what you get with every course, refund policy, all help answers.

A tailored course, built for your situation

Advanced PostgreSQL Optimization for Systems Engineers

Master high-performance database architecture with real-world systems engineering precision

$199 one-time
24-hour access provisioning 30-day money-back guarantee Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Struggling with unpredictable query performance or storage bloat in production PostgreSQL environments?

The situation this course is for

Even experienced systems engineers face challenges when PostgreSQL grows beyond defaults, uncontrolled WAL generation, replication lag, and silent index degradation can undermine system stability and team velocity. Without a structured approach, troubleshooting becomes reactive, time-consuming, and prone to partial fixes.

Who this is for

A systems engineer in a regulated or high-transaction environment who manages PostgreSQL in production and needs to ensure reliability, performance, and automation at scale.

Who this is not for

This is not for developers using PostgreSQL as an app backend, junior admins running basic queries, or teams evaluating database alternatives. It’s for engineers already responsible for live PostgreSQL systems who need deeper operational control.

What you walk away with

  • Diagnose and eliminate root causes of PostgreSQL performance degradation
  • Design automated log and WAL lifecycle management to prevent disk exhaustion
  • Implement replication topologies that scale with business demand
  • Optimize vacuum and autovacuum strategies for high-write environments
  • Build self-healing monitoring frameworks using observability-first principles

The 12 modules (with all 144 chapters)

Module 1. PostgreSQL Architecture Deep Dive
Understand the core processes, memory structures, and storage layout that define PostgreSQL behavior in production. Learn how the backend, WAL writer, and background writer interact under load.
12 chapters in this module
  1. Process architecture overview
  2. Shared memory and buffers
  3. WAL generation lifecycle
  4. Checkpoint mechanics
  5. Background worker roles
  6. Transaction ID management
  7. System catalog structure
  8. TOAST storage internals
  9. Index access methods
  10. Query planning phases
  11. Locking and concurrency model
  12. Replication slot basics
Module 2. Configuration for Stability
Tune postgresql.conf settings to prevent common outages and ensure predictable performance. Focus on memory, connection, and write-ahead logging settings that matter in systems engineering.
12 chapters in this module
  1. Max connections planning
  2. Shared buffers sizing
  3. Effective cache tuning
  4. WAL size and rotation
  5. Checkpoint frequency tuning
  6. Autovacuum thresholds
  7. Work memory allocation
  8. Maintenance work memory
  9. Max WAL size limits
  10. Synchronous commit tradeoffs
  11. Log rotation settings
  12. Error reporting levels
Module 3. Log Management and Diagnostics
Prevent log bloat while preserving forensic value. Implement rotation, retention, and parsing strategies that keep disk usage under control and surface critical events.
12 chapters in this module
  1. Log destination setup
  2. Log rotation policies
  3. Log verbosity control
  4. Error vs warning filtering
  5. Connection log analysis
  6. Slow query logging
  7. Log parsing automation
  8. Disk space monitoring
  9. Remote log aggregation
  10. Log retention compliance
  11. False positive filtering
  12. Alerting on critical entries
Module 4. Query Performance Analysis
Use EXPLAIN, pg_stat_statements, and execution plans to identify inefficient queries. Translate database output into actionable tuning steps.
12 chapters in this module
  1. Reading EXPLAIN output
  2. Understanding cost estimates
  3. Index scan types
  4. Seq scan triggers
  5. Join strategy selection
  6. Nested loop costs
  7. Hash join memory use
  8. Merge join conditions
  9. Query plan caching
  10. Statement statistics setup
  11. Query runtime tracking
  12. Plan regression detection
Module 5. Indexing for Scale
Design and maintain indexes that accelerate queries without degrading write performance. Know when to use B-tree, hash, GIN, and GiST.
12 chapters in this module
  1. B-tree index structure
  2. Index size monitoring
  3. Partial index use cases
  4. Expression indexes
  5. Unique vs exclusion
  6. GIN for full text
  7. GiST for geometric data
  8. Hash index tradeoffs
  9. Index bloat detection
  10. Index-only scans
  11. Covering indexes
  12. Index removal strategy
Module 6. Vacuum and Autovacuum Tuning
Prevent transaction ID wraparound and table bloat with precise vacuum scheduling and threshold configuration tailored to workload patterns.
12 chapters in this module
  1. Dead tuple accumulation
  2. Freeze age tracking
  3. Autovacuum launcher
  4. Per-table settings
  5. Naptime tuning
  6. Vacuum cost limits
  7. Index cleanup behavior
  8. TOAST table vacuuming
  9. Bloat monitoring scripts
  10. Manual vacuum timing
  11. Freeze max age safety
  12. Autovacuum disable cases
Module 7. Replication Architecture
Design and troubleshoot logical and physical replication setups that support high availability and read scaling with minimal lag.
12 chapters in this module
  1. Streaming replication setup
  2. Replication slots
  3. Primary-standby failover
  4. Cascading replication
  5. Logical replication basics
  6. Publication setup
  7. Subscription management
  8. Conflict resolution
  9. Replication lag monitoring
  10. Write scaling patterns
  11. Backup replication link
  12. Replication security
Module 8. Backup and Recovery
Implement reliable, automated backup workflows using pg_basebackup and WAL archiving, with tested recovery procedures.
12 chapters in this module
  1. Base backup setup
  2. WAL archiving script
  3. Retention policy design
  4. Point-in-time recovery
  5. Backup verification
  6. Compression methods
  7. Encrypted backups
  8. Cloud storage integration
  9. Backup scheduling
  10. Recovery.conf removal
  11. Recovery target types
  12. Failover testing
Module 9. Monitoring and Observability
Build proactive monitoring systems using metrics, logs, and traces to detect degradation before users notice.
12 chapters in this module
  1. Key metrics to track
  2. Prometheus integration
  3. Grafana dashboard setup
  4. Connection pooling metrics
  5. Replication lag alerts
  6. Query performance trends
  7. Disk I/O monitoring
  8. Memory pressure signs
  9. Lock contention detection
  10. Autovacuum stall alerts
  11. WAL generation rate
  12. Uptime tracking
Module 10. Security Hardening
Apply least-privilege principles, secure authentication, and network controls to protect PostgreSQL in production environments.
12 chapters in this module
  1. Role hierarchy design
  2. Password policy setup
  3. SCRAM authentication
  4. SSL enforcement
  5. pg_hba.conf rules
  6. Row-level security
  7. Schema ownership
  8. Default privileges
  9. Audit logging
  10. Connection limits
  11. Extension security
  12. Superuser controls
Module 11. Automation with Infrastructure as Code
Use Terraform, Ansible, or equivalent to deploy and manage PostgreSQL configurations consistently across environments.
12 chapters in this module
  1. Config templating
  2. Automated init scripts
  3. Role provisioning
  4. Extension deployment
  5. Security policy as code
  6. Backup automation
  7. Monitoring integration
  8. Patch level management
  9. Version upgrade workflows
  10. Rollback procedures
  11. Drift detection
  12. Environment parity
Module 12. Disaster Recovery Planning
Develop and test recovery runbooks for full system failure, data corruption, or site loss using multi-region strategies.
12 chapters in this module
  1. RTO and RPO definition
  2. Failover checklist
  3. Data corruption response
  4. Cross-region replication
  5. Backup restore drills
  6. DNS switchover
  7. Application reconnection
  8. WAL gap recovery
  9. Point-in-time restore
  10. Recovery validation
  11. Post-mortem process
  12. Runbook maintenance

How this maps to your situation

  • Managing high-write databases with growing WAL
  • Troubleshooting replication lag in distributed systems
  • Reducing manual toil in database maintenance
  • Hardening production databases in regulated environments

Before vs. after

Before
Manual troubleshooting, reactive log management, and inconsistent configurations lead to downtime and team friction.
After
Engineers confidently design, monitor, and optimize PostgreSQL systems with automation, clarity, and long-term stability.

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters)
  • Downloadable templates and worked examples for every module
  • Hand-built implementation playbook delivered alongside course access
  • 30-day money-back guarantee

Delivery and format

  • Course and learning environment access provisioned within 24 hours of purchase
  • Hand-built implementation playbook delivered alongside course access

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.

Time investment: Approximately 3 hours per module, designed for engineers to apply concepts incrementally while maintaining production systems.

If nothing changes
Without a structured approach to PostgreSQL optimization, teams face recurring outages, escalating technical debt, and loss of trust in system reliability, especially as data volumes grow.

How this compares to the alternatives

Unlike generic database courses, this program is tailored to systems engineers managing PostgreSQL in production, with deep focus on automation, observability, and operational resilience, not just theory or query writing.

Frequently asked

Is this course right for someone who manages PostgreSQL but isn’t a DBA?
Yes. It’s designed for systems engineers and SREs who own database reliability but don’t have full-time DBA support.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Do I need access to a production PostgreSQL instance?
Recommended, but not required. Exercises include real-world scenarios you can adapt to test environments.
$199 one-time. Approximately 3 hours per module, designed for engineers to apply concepts incrementally while maintaining production systems..

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee· 144 chapters· Hand-built playbook included· Account access within 24 hours
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