I used to think indexing was a guessing game. After Module 3, I rebuilt our query strategy from scratch. Result: 3x faster app response time.
A Complete System-Level Course for High-Performance Databases
Build scalable, lightning-fast backends with PostgreSQL. This advanced course dives deep into indexing, connection pooling, high availability, and real-world debugging techniques used by top engineering teams.
In this immersive backend training, you’ll go far beyond basic SQL syntax.
You’ll learn how to analyze execution plans, fine-tune indexes for high-throughput APIs, and troubleshoot performance bottlenecks across the entire stack.
The course also includes PostgreSQL internals, VACUUM best practices, caching strategy design, and production-hardening your deployments. All lessons are built on practical, real-world case studies, no fluff.
Whether you’re working with microservices, monolithic APIs, or large analytical workloads, this course equips you to confidently scale PostgreSQL for production-grade speed, stability, and security.
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Start by understanding the PostgreSQL engine from the ground up. Explore how queries are parsed, planned, and executed, and gain insight into storage, memory, and background workers.
Learn how to read and interpret EXPLAIN ANALYZE, identify slow operations, and restructure complex joins or nested queries for better performance.
Go beyond basic B-tree indexes. This module covers partial indexes, covering indexes, expression indexes, and the use of GIN/GiST for full-text search and JSONB.
Understand how PostgreSQL handles concurrent users. Implement PgBouncer or Pgpool-II, optimize pool sizing, and handle transaction isolation with precision.
Design an effective caching layer using Redis or Memcached in conjunction with PostgreSQL. Master autovacuum tuning and avoid bloated tables.
Avoid common pitfalls in table design that hurt performance. Learn to structure schemas for both transactional and analytical use cases.
Set up streaming replication, understand WAL internals, and implement automatic failover for critical services.
Use tools like pgbench, wrk, and custom scripts to simulate real-world load and benchmark your improvements.
We walk through actual backend incidents — deadlocks, runaway queries, IO spikes — and how they were diagnosed and resolved.
I used to think indexing was a guessing game. After Module 3, I rebuilt our query strategy from scratch. Result: 3x faster app response time.
PostgreSQL is vast, but this course organizes it better than any docs I’ve seen. The section on autovacuum and query planning is gold.
I run a dev agency and this course became our internal training tool. Performance, observability, HA—it’s all here. Easily worth 10x the cost
The bonus modules are . We deployed PostgreSQL inside Kubernetes with
zero downtime thanks to the replica/failover section.”
This course is designed for backend developers, DevOps engineers, and system architects who want to deepen their mastery of PostgreSQL and backend infrastructure performance.
Immediately after payment, you’ll receive an email with access credentials. You can log in anytime and watch the course at your own pace from any device.
A basic understanding of relational databases and SQL is recommended, but we cover core concepts in early modules before diving deeper.
Yes. Our instructors monitor major PostgreSQL releases, and you’ll receive free updates when new lessons or strategies are added.
This course is highly practical. Each module includes live demonstrations, query performance comparisons, and downloadable code samples.
Absolutely. We offer a no-questions-asked 30-day money-back guarantee. Just email our team at info@trynatusoftware.com.
Yes — once you complete the modules, you’ll receive a personalized certificate that verifies your PostgreSQL optimization training.