Distributed Systems
Build reliable distributed architectures — queues, caching, and microservices.
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After this skill you can…
- Design event-driven systems with message queues
- Implement distributed caching with Redis
- Explain consensus algorithms (Raft/Paxos)
Prerequisites
Watch (10 videos)
Distributed Systems in 3 Minutes: CDNs, APIs, TCP & Idempotency Explained
→ Build scalable systems→ Implement CDNs→ Use APIs effectively
Database Sharding Explained | Range vs Hash vs Directory Sharding
→ Build distributed systems→ Optimize system performance
How to Build a Multi Cloud Architecture like Netflix Without Doubling Your Cloud Bill
→ Design a multi-cloud architecture→ Implement a control plane to manage complexity and costs→ Deploy applications across multiple cloud providers
5 Rate Limiting Strategies Explained | Protect Your System at Scale
→ Build scalable systems→ Handle traffic spikes→ Prevent system abuse
What Are Kubernetes Services and Why Do You Need Them?
→ Understand Kubernetes cluster networking→ Implement a load balancer or proxy→ Configure pod communication
Must‑Know Message Broker Patterns in 3 Minutes (Outbox, CQRS, Saga & More)
→ Understand Distributed System Challenges→ Apply Decoupling Techniques→ Ensure System Reliability
Common Network Protocols Explained | TCP, UDP, HTTP, DNS & More
→ Build scalable distributed systems→ Use real-time protocols for communication
How to Design Safe Retries in Microservices (No Duplicates, No Overload)
→ Understand the retry pattern in distributed systems→ Apply exponential backoff and jitter→ Use idempotency keys to prevent duplicates
Sponsored Session: Distributed Training in PyTorch: Zero to Hero - Corey Lowman, Lambda Labs
→ Design distributed systems for model training→ Optimize model training with parallelism
Proxy vs Reverse Proxy — What's the Difference?
→ Build scalable systems with reverse proxies→ Configure forward proxies for anonymity
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