Learning Path
Distributed Systems Fundamentals
Master the core concepts behind reliable distributed systems — from consistency guarantees and failure handling to messaging patterns that keep services in sync.
5 articles
- 1.
Understanding the CAP Theorem
A practical look at consistency, availability, and partition tolerance — and why you can only pick two during a network partition.
- 2.
Eventual Consistency in Practice
How distributed systems converge to a consistent state over time, and the patterns that make it workable.
- 3.
The Circuit Breaker Pattern
Stop cascading failures by detecting when a downstream service is unhealthy and short-circuiting calls until it recovers.
- 4.
The Saga Pattern: Distributed Transactions Without 2PC
Coordinate long-running business transactions across services using a sequence of local transactions and compensating actions.
- 5.
The Outbox Pattern for Reliable Messaging
Guarantee at-least-once event delivery without two-phase commit by writing events to the database in the same transaction as your business data.