Merkle Trees: Efficient Data Integrity in Distributed Systems
Learn how Merkle trees enable efficient data synchronization, consistency verification, and conflict detection in distributed databases and blockchain systems.
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Multi-Paxos
Multi-Paxos extends basic Paxos to achieve consensus on sequences of values, enabling practical replicated state machines for distributed systems and databases.
Ordering Guarantees in Distributed Messaging
Understand how message brokers provide ordering guarantees - from FIFO queues to causal ordering across partitions, and trade-offs in distributed systems.
The Outbox Pattern: Reliable Event Publishing in Distributed Systems
Learn the transactional outbox pattern for reliable event publishing. Discover how to solve the dual-write problem, implement idempotent consumers, and achieve exactly-once delivery.
Paxos Consensus Algorithm
Paxos is a family of consensus algorithms for achieving agreement in distributed systems despite failures, pioneered by Leslie Lamport.
Physical Clocks in Distributed Systems: NTP and Synchronization
Learn how physical clocks work in distributed systems, including NTP synchronization, clock sources, and the limitations of wall-clock time for ordering events.
Raft Consensus Algorithm
Raft is a consensus algorithm designed to be understandable, decomposing the problem into leader election, log replication, and safety.
Synchronous Replication: Guaranteeing Data Consistency Across Nodes
Explore synchronous replication patterns in distributed databases. Learn about the write-ahead log shipping, Quorum-based replication, and how synchronous replication ensures zero RPO in production systems.
TCC: Try-Confirm-Cancel Pattern for Distributed Transactions
Learn the Try-Confirm-Cancel pattern for distributed transactions. Explore how TCC differs from 2PC and saga, with implementation examples and real-world use cases.
Three-Phase Commit: Non-Blocking Distributed Transactions
Learn how Three-Phase Commit (3PC) extends 2PC with a pre-commit phase, its assumptions, limitations, and when to use it.