Uber's Architecture: From Monolith to Microservices at Scale
Explore how Uber evolved from a monolith to a microservices architecture handling millions of real-time marketplace transactions daily.
// Posts (Page 15)
Amazon DynamoDB: Scalable NoSQL with Predictable Performance
Deep dive into Amazon DynamoDB architecture, partitioned tables, eventual consistency, on-demand capacity, and the single-digit millisecond SLA.
Apache Cassandra: Distributed Column Store Built for Scale
Explore Apache Cassandra's peer-to-peer architecture, CQL query language, tunable consistency, compaction strategies, and use cases at scale.
Apache ZooKeeper: Consensus and Coordination
Explore ZooKeeper's Zab consensus protocol, hierarchical znodes, watches, leader election, and practical use cases for distributed coordination.
Asynchronous Replication: Speed and Availability at Scale
Learn how asynchronous replication works in distributed databases, including eventual consistency implications, lag monitoring, and practical use cases where speed outweighs strict consistency.
Bloom Filters: Space-Efficient Probabilistic Data Structures
How Bloom filters provide memory-efficient membership testing with configurable false positive rates for caches, databases, and distributed systems.
Clock Skew in Distributed Systems: Problems and Solutions
Explore how clock skew affects distributed systems, causes silent data corruption, breaks conflict resolution, and what you can do to mitigate these issues.
CRDTs: Conflict-Free Replicated Data Types
Learn how CRDTs enable strongly consistent eventual consistency in distributed databases. Explore G-Counters, PN-Counters, LWW-Registers, OR-Sets, and practical applications.
Distributed Systems Primer: Key Concepts for Modern Architecture
A practical introduction to distributed systems fundamentals. Learn about failure modes, replication strategies, consensus algorithms, and the core challenges of building distributed software.
etcd: Distributed Key-Value Store for Configuration
Deep dive into etcd architecture using Raft consensus, watches for reactive configuration, leader election patterns, and Kubernetes integration.