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)
Deploying an ecommerce web app to GKE
→ Design distributed systems for ecommerce→ Implement GKE Autopilot clusters
Architecting for Multi-Cloud: AWS and Beyond with PwC
→ Build scalable cloud applications→ Optimize cloud costs
Introduction to Cloud-Native Architecture and Microservices
→ Deploy applications on Kubernetes→ Configure CI/CD pipelines
Apache Kafka 2.7 is One Step Closer to Killing ZooKeeper
→ Design distributed systems with Kafka→ Implement Kafka in production environments
Applications of Software Architecture for Big Data
→ Build a distributed system for big data→ Design a production-ready big data architecture
It's alive! The first 3 microservices are up and running!
→ Deploy a microservices-based system→ Design a scalable microservices architecture
CAP Theorem EXPLAINED: Build Smarter Distributed Systems! 🚀 FullStackDev
→ Build Scalable Systems→ Handle Network Partitions→ Ensure Data Consistency
Complete Application Deployment using Kubernetes Components | Kubernetes Tutorial 20
→ Design distributed systems with Kubernetes
High-Availability Scaling with Kubernetes: Web Services
→ Deploy applications to Kubernetes clusters→ Configure horizontal pod autoscaling
Cloud Computing Concepts, Part 1
→ Design distributed systems for cloud computing→ Implement MapReduce and NoSQL stores
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