The CAP Theorem Explained: Consistency, Availability, and Partition Tolerance
A comprehensive breakdown of Brewer's theorem, exploring why distributed systems must choose between consistency and availability during network partitions.
Distributed Systems
Explore foundational concepts, consensus algorithms, fault tolerance, and modern architectures that power scalable computing across networks.
Raft Consensus Algorithm: How Modern Databases Agree
Understanding leader election, log replication, and safety guarantees in the Raft protocol that powers systems like etcd, Consul, and CockroachDB.
Microservices vs Monoliths: Architectural Trade-offs at Scale
When to decompose and when to stay unified. A data-driven analysis of operational complexity, deployment frequency, and fault isolation.
Event-Driven Architecture in Distributed Systems
Decoupling services through message brokers, handling eventual consistency, and managing schema evolution in event-sourced systems.
Consistent Hashing: Routing Data at Scale
How Cassandra and DynamoDB minimize data redistribution when nodes join or leave the cluster using virtual nodes and ring topologies.
Handling Network Partitions: Strategies and Best Practices
Circuit breakers, bulkheads, retry policies with exponential backoff, and chaos engineering techniques for partition-resistant design.