Backend & Distributed Systems
Master high-throughput backend services, database internals, and microservices.
16 Weeks
8–10 hours / week
Intermediate to Advanced
Live Cohort
Who is this program for?
- Developers wanting to specialize in backend engineering and cloud infrastructure
- Full-stack engineers looking to deepen their database and distributed systems knowledge
- Engineers transitioning from monolithic apps to event-driven microservices
Prerequisites & Requirements
Basic programming experience in any backend language.
Technologies You Will Master
Curriculum Breakdown
Master concurrent programming, memory models, and networking.
- Concurrency in Go / Node.js: Goroutines, channels, worker pools, and memory models
- Building high-throughput HTTP servers, custom routers, and middleware chains
- Benchmarking, profiling with pprof, and diagnosing memory leaks and race conditions
- Linux system calls, process management, and socket programming basics
Real Projects You Will Build
All capstones are reviewed line-by-line by senior tech mentors and deployed to live cloud environments.
High-Throughput Order Matching Engine
Concurrent transaction processing service
Low-latency order book matching engine in Go handling concurrent bid/ask orders with in-memory state and PostgreSQL persistence.
Event-Driven Notification & Webhook Pipeline
Kafka-powered messaging system
Scalable event processing pipeline using Kafka consumer groups, exponential backoff retries, and dead-letter queues.
Distributed Key-Value Store Prototype
LSM tree & WAL implementation
Storage engine exploring Append-Only Write-Ahead Log (WAL), in-memory memtable, and SSTable compaction.
Frequently Asked Questions
Backend & Distributed Systems
Includes live interactive sessions, mentor code reviews, capstone projects, and alumni referral access.