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.
Posts tagged with #databases
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.
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.
Google Chubby: The Lock Service That Inspired ZooKeeper
Explore Google Chubby's architecture, lock-based coordination, Paxos integration, cell hierarchy, and its influence on distributed systems design.
Google Spanner: Globally Distributed SQL at Scale
Google Spanner architecture combining relational model with horizontal scalability, TrueTime API for global consistency, and F1 database implementation.
Synchronous Replication: Data Consistency Across Nodes
Learn about synchronous replication patterns in distributed databases, including Quorum-based replication and write-ahead log shipping for zero RPO.
Consistency Models in Distributed Systems: Complete Guide
Learn about strong, weak, eventual, and causal consistency models. Understand read-your-writes, monotonic reads, and picking the right model for your system.
Database Replication: Master-Slave and Failover Patterns
Database replication explained: master-slave, multi-master, synchronous vs asynchronous strategies, failover patterns, and consistency.