Distributed Locks and Fencing Tokens — Handling Concurrency Safely in Microservices
A practical explanation of distributed locks, why they are not enough on their own, and how fencing tokens prevent race conditions in microservice architectures.
A practical explanation of distributed locks, why they are not enough on their own, and how fencing tokens prevent race conditions in microservice architectures.
A practical explanation of timeouts, retries, exponential backoff, and circuit breakers — and how they work together to prevent cascading failures in distributed systems.
A simple explanation of idempotency and how it helps design reliable, fault-tolerant APIs in Spring Boot microservices.
Explaining CAP theorem and PACELC in simple terms with real-world examples.
Learn how to create patches from staged changes in Git and apply them to different branches