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PostgreSQL Performance Optimization for Real-Time Workloads

$199.00
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A tailored course, built for your situation

PostgreSQL Performance Optimization for Real-Time Workloads

Eliminate table bloat, fix replication delays, and stabilize high-write databases with precision tuning

$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.
Your database is slowing down not because of traffic, but because of silent bloat and misconfigured autovacuum cycles.

The situation this course is for

Tables grow unchecked, queries lag, and replication falls behind. Restarting services brings temporary relief, but the core issues return. You’re spending cycles firefighting instead of optimizing. Standard guides skip the exact thresholds, config ratios, and monitoring setups that prevent regression. This course fixes that.

Who this is for

A systems engineer or DBA managing PostgreSQL in production, facing write-heavy workloads, replication drift, or storage bloat. Technically fluent, values precision, and needs repeatable fixes, not theory.

Who this is not for

Beginners learning SQL, developers only using SQLite, or teams using managed DBaaS with no access to config files.

What you walk away with

  • Diagnose and stop table bloat at the source
  • Tune autovacuum to match write patterns
  • Fix streaming replication lag permanently
  • Optimize index strategies for high-write tables
  • Build a monitoring playbook to catch issues before alerts fire

The 12 modules (with all 144 chapters)

Module 1. Diagnosing Table Bloat
Identify bloated tables using system views and calculate real storage impact. Learn to read pg_stat_user_tables and detect dead rows before they cascade.
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 2. Autovacuum Deep Dive
Master autovacuum tuning with real-world thresholds. Adjust scale factor, freeze max age, and worker counts to match workload intensity.
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 3. Index Optimization for Writes
Reduce index bloat in high-write tables. Choose the right index type, reorder columns, and schedule reindexes without downtime.
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 4. Streaming Replication Stability
Fix replication lag with proper WAL settings, network tuning, and slot monitoring. Prevent cascading failures in standby nodes.
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 5. Write-Ahead Log Management
Control WAL generation and retention. Tune checkpoint_segments and timeout to reduce disk pressure without sacrificing durability.
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 6. Query Plan Analysis
Read execution plans like a DBA. Spot sequential scans, index misses, and nested loops caused by statistics gaps.
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 7. Statistics and Analyze Tuning
Align analyze frequency with data churn. Fix inaccurate row counts that break planner decisions in write-heavy tables.
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 8. Connection and Memory Management
Optimize work_mem, shared_buffers, and connection pooling. Prevent memory exhaustion under load spikes.
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 9. Monitoring Stack Setup
Build a real-time monitoring suite using Prometheus, Grafana, and custom queries to catch bloat and lag early.
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 10. Partitioning for Scale
Implement table partitioning to reduce index size and improve vacuum efficiency on large datasets.
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 11. Backup and PITR Strategy
Configure reliable backups with WAL archiving and test point-in-time recovery without disrupting performance.
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 12. Incident Response Playbook
Respond to outages with pre-built runbooks. Diagnose replication breaks, bloat surges, and failover issues systematically.
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12

How this maps to your situation

  • You're seeing tables grow uncontrollably
  • Replication lag is affecting read consistency
  • Vacuum isn't keeping up with write volume
  • Query performance degrades over time

Before vs. after

Before
Tables grow unchecked, queries slow down, and replication lags, leading to reactive maintenance and unpredictable outages.
After
Bloat is controlled, vacuum keeps pace, and replication runs smoothly, enabling stable, high-performance database operations.

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 week for 4 weeks to complete all modules and apply templates.

If nothing changes
Ignoring table bloat and replication lag leads to longer outages, higher storage costs, and eventual data inconsistency, especially under increasing load.

How this compares to the alternatives

Unlike generic PostgreSQL courses, this focuses only on performance under write pressure, no beginner topics or theory. Compared to consulting, it’s 97% lower cost with repeatable, documented steps.

Frequently asked

Is this course suitable for managed PostgreSQL services?
Yes, if you have access to configuration settings and logs. The course includes workarounds for restricted environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Do I need root access to my database server?
Preferred, but not required. The course includes proxy strategies for managed and shared environments.
$199 one-time. Approximately 3 hours per week for 4 weeks to complete all modules and apply templates..

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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