Leader Election in Distributed Systems
Leader election is the process of designating a single node as the coordinator among a set of distributed nodes, critical for consensus 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.
Learn how mutual TLS secures communication between microservices, how to implement it, and how service meshes simplify mTLS management.
Multi-Paxos extends basic Paxos to achieve consensus on sequences of values, enabling practical replicated state machines for distributed systems and databases.
Learn how OAuth 2.0 and OpenID Connect enable delegated authorization and federated identity in microservices architectures.
Understand how message brokers provide ordering guarantees, from FIFO queues to causal ordering across partitions, and the trade-offs in distributed systems.
Learn how the transactional outbox prevents lost events, how relays publish them, and how idempotent consumers handle duplicates in distributed systems.