Distributed Systems Design
Designing for consistency, partitioning, consensus, and observability in serverless distributed systems.
Simple Explanation
What it is
This lesson explains how distributed systems behave when parts of the network are slow, down, or out of sync.
Why we need it
Serverless systems often span regions and services. Understanding these tradeoffs prevents data corruption and downtime.
Benefits
- Better resilience under failure.
- Clearer consistency choices for data.
- More predictable recovery during outages.
Tradeoffs
- More complexity in design and testing.
- Some delays are unavoidable at global scale.
Real-world examples (architecture only)
- Cross-region writes -> Delayed reads in another region.
- Consensus quorum -> Service remains available with partial failure.
