What Is a Distributed Lock? Explained
A distributed lock coordinates access to a shared resource across multiple machines, so only one can use it at a time. This guide explains distributed locks.
A distributed lock coordinates access to a shared resource across multiple machines, so only one can use it at a time. This guide explains distributed locks.
Two-phase commit is a protocol that helps multiple systems agree to either all commit a transaction or all abort it. This guide explains two-phase commit.
Strong consistency means that once data is written, every later read sees that latest value, so everyone shares one up-to-date view. This guide explains it.
Fault tolerance is the ability of a system to keep operating properly even when some of its components fail. This guide explains what fault tolerance is.
The CAP theorem says a distributed data store cannot simultaneously guarantee consistency, availability, and partition tolerance. This guide explains the CAP theorem.
A vector clock is a mechanism for determining the order of events in a distributed system, helping detect which events came before others. This guide explains it.
A quorum is the minimum number of participants that must agree for a distributed system to make a decision or operation valid. This guide explains quorums.
Consensus is the problem of getting multiple machines in a distributed system to agree on a single value, even despite failures. This guide explains consensus.
Leader election is the process by which machines in a distributed system choose one of them to act as the coordinator. This guide explains leader election.
Eventual consistency is a model where copies of data across a distributed system become consistent over time, rather than instantly. This guide explains what it is.
Publish-subscribe is a messaging pattern where senders publish messages without knowing who will receive them, and subscribers receive only what they are interested in. This guide explains it.