Multi-Leader Topologies
Explore the various multi-leader replication topologies used in distributed systems like Apache Kafka. Learn how different configurations such as all-to-all, circular, and star affect data exchange, replication reliability, and conflict resolution. Understand challenges like write ordering and node failures, and discover mechanisms like version vectors to manage data consistency across leaders.
We'll cover the following...
Multileader architectures come in different topologies. A replication topology refers to how nodes in a system are set-up to exchange local writes, i.e. writes at a given leader, with other leader nodes.
The case of two nodes is trivial as the information must be exchanged bilaterally, however, with three or more nodes the number of possible ways nodes can exchange information among themselves is numerous. We’ll discuss the various topologies in which nodes can be arranged to exchange writes with each other.
All to all
In all to all topology a leader sends its writes to every other leader. The pro of this approach is that all leader nodes receive writes occurring at every other leader and the failure of any individual ...