How deeply does Kubernetes in Action, Second Edition cover leader election?

Defines active and standby roles and failure takeover, but does not explain the election algorithm or implementation steps.

Leader election

As explained in Kubernetes in Action, Second Edition

Leader election is a coordination mechanism that selects one instance as active leader while other instances remain ready to take over after failure.

Leader election is a coordination mechanism that selects one application instance as the active leader while other instances remain idle and ready to take over if the leader fails. section 1.2.1

Kubernetes provides leader election as infrastructure for distributed applications, so developers can focus on business logic instead of implementing this coordination mechanism themselves. section 1.2.1 section 1.2.2

Active instance with ready replacements

Imagine several instances of an application running together. Leader election designates one instance as active; the others stay idle but prepared to become active when the current leader fails. section 1.2.1

How Kubernetes in Action, Second Edition covers it

Cover of Kubernetes in Action, Second Edition

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Also explained in

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Kafka for ArchitectsLeader election is the process of selecting a controller or partition leader to coordinate operations and accept leadership responsibilities.
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Apache Kafka in ActionLeader election is the process of selecting a node to act as leader among eligible nodes in a distributed system.
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Think Distributed SystemsA Raft protocol that elects a leader for a term and starts a new election when the current leader is suspected to have failed.

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Related concepts

controllerused by · A Kafka controller is a server role that manages cluster metadata and coordinates partition, replica, and leader state.
ZooKeeperused by · Apache ZooKeeper is a distributed coordination service that provides shared configuration, naming, synchronization, metadata management, and leader-election primitives.
Raftimplemented by · Raft is a distributed consensus algorithm that uses leader election and replicated logs to coordinate nodes and maintain consistent replicated state despite failures.
quorumuses · A quorum is the minimum number or proportion of distributed participants whose responses or agreement are sufficient for an operation or decision.

This explainer was generated by Manning's knowledge graph from the text of Kubernetes in Action, Second Edition. The section links point to the parts of the book it draws on.