Build a production-grade
distributed system.
From scratch.
254 hands-on lessons. You write every line of Java, Spring Boot, Kafka, and Python. No whiteboard theory. No copy-paste tutorials. A real system you can deploy.
Most engineers know about
distributed systems. Few have built one.
There are two types of content in this field — and neither closes the gap between reading and building.
Designing Data-Intensive Applications is brilliant. It doesn't teach you to write a Kafka consumer that correctly handles a poison pill at 3am.
Diagrams of fictional systems no one has built. Optimised for passing interviews, not for keeping your service alive.
You watch someone else code. You learn to follow, not to build. The first time you face a real production problem, you're alone.
Every lesson ships working code. Every module builds on the last. You write every line. By the end: a real system on GitHub.
LogStream — a production
distributed log platform.
The same architecture pattern that powers Datadog, Cloudflare, and Stripe. You build it from an empty directory.
Six modules.
One complete system.
Subscribe for the full 254-lesson journey, or jump directly to the module solving your current problem.
Be honest with yourself.
This is for you if
- You're a mid-to-senior backend engineer preparing for staff/principal roles
- You've read DDIA and want to actually build what's in it
- You're tired of system design videos that never show actual code
- You want a portfolio piece you can walk a senior interviewer through
- Your employer will reimburse learning (most will — just ask)
This isn't for you if
- You've never built a backend service before (start with a CRUD app first)
- You want FAANG interview pattern memorisation (try ByteByteGo)
- You're looking for videos — this is text lessons with working code repos
- You want someone else to tell you the answers before you try the code yourself
From engineers who've built LogStream.
Last Tuesday I had a Kafka rebalance issue at 2am. The Day 47 lesson was the thing that fixed it. That single lesson was worth $499. The lifetime tier just removes the 'should I still be paying for this' question.
I've been in engineering for 8 years and never actually built a Kafka pipeline from scratch. After Module 2 I understood exactly why my team's consumer was silently dropping messages. Fixed a bug that had been there for 6 months.
The code actually runs. That sounds obvious but it isn't — I've done 5 other courses where the repos were broken or outdated. Every SDCourse lesson ships code I can docker-compose up and see working.
⚠️ Replace the testimonials above with real quotes collected from your paid subscribers. DM your top 3-5 most engaged paid subscribers and ask for 2 sentences.
Three tiers.
Pick the commitment that fits.
No upsell sequences. No dark patterns. The free tier is genuinely free and genuinely useful.
- ✓ First 3 lessons of every module (18 free lessons)
- ✓ Sunday weekly digest
- ✓ All Substack Notes (daily insights)
- ✓ Free Distributed Systems Interview Pack
- ✗ All 254 lessons
- ✗ GitHub repos
- ✓ Every one of the 254 lessons
- ✓ Working GitHub repo for each lesson
- ✓ Architecture diagrams + data-flow diagrams
- ✓ Comment on every post
- ✓ 14-day refund — no questions
- ✓ Sunday digest + all Notes
- ✓ Lifetime access — pay once, done
- ✓ Monthly async Q&A — email your questions, written answers within 48h
- ✓ Completion certificate (PDF, verifiable URL)
- ✓ One year of systemdrd.com (Kafka deep-dive, Redis internals, K8s lab)
- ✓ All future mini-series included free
- ✓ Priority direct email access
Most companies reimburse Pro Annual ($99) and Lifetime ($499) under "professional development". Just ask your manager. I'll send a receipt with your name and company on it.
Honest answers.
docker-compose up-able repo. If it doesn't run on a clean clone, that's a bug and I'll fix it. This is the thing I'm most careful about; broken code is broken trust.The gap between reading and building
Stop learning about distributed systems.
Start building one.
31,000+ engineers. 254 lessons. One real system on your GitHub when you're done.
Free forever · Pro $99/yr · Lifetime $499 once · 14-day refund guarantee