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.
Google Spanner architecture combining relational model with horizontal scalability, TrueTime API for global consistency, and F1 database implementation.
Learn how gossip protocols enable scalable state sharing in distributed systems. Covers epidemic broadcast, anti-entropy, SWIM failure detection, and real-world applications like Cassandra and Consul.
Design systems that maintain core functionality when components fail through fallback strategies, degradation modes, and progressive service levels.
Explore advanced health check patterns for distributed systems including deep checks, aggregation, distributed health tracking, and health protocols.
Leader election is the process of designating a single node as the coordinator among a set of distributed nodes, critical for consensus protocols.
Explore load balancing algorithms used in microservices including round robin, least connections, weighted, IP hash, and adaptive algorithms.
Understand Lamport timestamps and logical clocks for ordering distributed events without synchronized physical clocks. Learn how to determine what happened before what.
Learn how Merkle trees enable efficient data synchronization, consistency verification, and conflict detection in distributed databases and blockchain systems.
Understand the fundamental differences between monolithic and microservices architectures, their trade-offs, and how to decide which approach fits your project.
Multi-Paxos extends basic Paxos to achieve consensus on sequences of values, enabling practical replicated state machines for distributed systems and databases.