Distributed Operating Systems
Explore distributed file systems, RPC mechanisms, cluster scheduling, and the fundamental concepts behind modern distributed operating systems.
Explore distributed file systems, RPC mechanisms, cluster scheduling, and the fundamental concepts behind modern distributed operating systems.
Learn how to implement backpressure in data pipelines to prevent cascading failures, handle overload gracefully, and maintain system stability.
Learn how single-flight, request coalescing, and probabilistic early expiration prevent cache stampedes that can overwhelm your database.
Cassandra and HBase data storage explained. Learn partition key design, column families, time-series modeling, and consistency tradeoffs.
Separate read and write models. Command vs query models, eventual consistency implications, event sourcing integration, and when CQRS makes sense.
Storing state changes as immutable events. Event store implementation, event replay, schema evolution, and comparison with traditional CRUD approaches.
Learn how Amazon pioneered service-oriented architecture, the famous 'two-pizza team' rule, and how they built the foundation for AWS.
Deep dive into Amazon DynamoDB architecture, partitioned tables, eventual consistency, on-demand capacity, and the single-digit millisecond SLA.
Explore Apache Cassandra's peer-to-peer architecture, CQL query language, tunable consistency, compaction strategies, and use cases at scale.
Explore ZooKeeper's Zab consensus protocol, hierarchical znodes, watches, leader election, and practical use cases for distributed coordination.