DeployStack Academy

Master SQL database performance and deploy production-ready applications on AWS EC2 & S3. Hands-on coaching from query optimization to scala...
Manila, PH
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@headglumProfile pictureJun 3
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Welcome to DeployStack Academy šŸš€

Welcome to SQL Performance & AWS Deployment Mastery.


You just made a decision that's going to change the way you build and ship software. Most developers never learn how to properly tune a database or deploy to production with confidence — you're about to become the exception.


Here's how to get the most out of this program:


1. Follow the course in order. Each module builds on the previous one. Don't skip ahead — the foundations matter.


2. Do the exercises. Reading is not learning. You need to run the queries, break things, and fix them yourself.


3. Use the community chat. Post your EXPLAIN ANALYZE outputs, share your wins, ask questions. This is where the real learning happens.


4. Complete the capstone. Module 7 is where everything clicks. Deploying a real production app with optimized SQL, automated backups, and monitoring is the finish line.


What you'll walk away with:


  • The ability to diagnose and fix slow queries in minutes, not days

  • A production-ready AWS deployment you built yourself

  • Monitoring and backup systems that let you sleep at night

  • Skills that command higher salaries and better projects


Let's get to work. Start Module 1 now.


— DeployStack Academy

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@headglumProfile pictureJun 3

Why 90% of Production Database Issues Are Preventable

I've spent years fixing slow databases and botched AWS deployments. Here's what I've learned: most production issues are completely preventable if you know what to look for.


The 3 mistakes I see over and over:


1. No indexes on JOIN columns. Your query goes from 2 seconds to 2 milliseconds with one CREATE INDEX statement. Yet most developers never run EXPLAIN ANALYZE to find out.


2. Default PostgreSQL config on production. The default shared_buffers is 128 MB. If your server has 16 GB of RAM, you're leaving 95% of your memory unused. A 5-minute config change doubles your throughput.


3. No monitoring until something breaks. By the time a user reports "the app is slow," you've already lost them. CloudWatch alarms + pg_stat_statements catch problems before anyone notices.


The fix?


Learn how databases actually execute queries. Understand what your cloud infrastructure is doing. Set up systems that watch your app so you don't have to.


That's exactly what I teach inside DeployStack Academy. 7 modules taking you from SQL fundamentals to a fully deployed, monitored, production application on AWS.


If you're tired of guessing why things are slow, this is for you.