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Distributed Systems

Distributed Systems turns Scalability, CAP Theorem, Distributed Databases into practical infrastructure skill for reliable production systems.

Topic 24 of 29

Prerequisites

Advanced Cloud Architecture

Key Concepts & Skills

Scalability
CAP Theorem
Distributed Databases
Event-Driven Systems
Operate Scalability in production-like environments
Connect CAP Theorem to infrastructure workflows
Troubleshoot failures with repeatable runbooks
Document operational tradeoffs and risks

Learning Outcomes

Explain how Distributed Systems impacts reliability and delivery
Build or configure a lab around Scalability
Identify common failure modes and mitigation strategies

Resources

Community Resources

Designing Data-Intensive Applications Jepsen analyses

Open Source Projects

System Design Primer

Practice Exercises

Complete a hands-on lab for Scalability.Write a troubleshooting checklist for Scalability and CAP Theorem.Automate one repeatable DevOps task connected to this topic.

Project Task

Run a distributed systems lab in a local or cloud sandbox.

Quiz

What is the first production failure you would expect in Distributed Systems, and how would you detect it?Explain the answer with one real-world example.List one mistake a beginner might make here.

Notes