Understanding Distributed Consensus in etcd and Kubernetes - Laura Frank, CloudBees
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- čas přidán 1. 07. 2024
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Understanding Distributed Consensus in etcd and Kubernetes - Laura Frank, Codeship (Intermediate Skill Level)
The Raft consensus algorithm is at the core of etcd, allowing you to run highly available services across your Kubernetes cluster. But how exactly does quorum work, what happens when a node goes down, and how do all of the machines agree on the actual state of your services? Where is the Raft log stored, and how can you inspect it? Come away with deeper understanding of two of Raft’s main responsibilities, log replication and leader election, and be better equipped to make informed choices about your service declarations and cluster configurations.
About Laura
As the Director of Engineering at CloudBees and a Docker Captain, Laura's primary focus is making tools for other developers. At CloudBees, she works on improving the Docker infrastructure of the Codeship product and overall experience for all users of the CI/CD platform. Previously, she worked on several open source projects to support Docker in the early stages of the project, including Panamax and ImageLayers. She currently lives in Vienna.
Join us for KubeCon + CloudNativeCon in Barcelona May 20 - 23, Shanghai June 24 - 26, and San Diego November 18 - 21! Learn more at kubecon.io. The conference features presentations from developers and end users of Kubernetes, Prometheus, Envoy and all of the other CNCF-hosted projects. - Věda a technologie
Great presentation! Really helped me understand raft and consensus!
this is probably one of the best talks I've seen especially among technical talks. she also handles the wifi failure pretty well.
Great presentation. Well organized, good depth, good animations to understand the key points
great explanation. I love the way leader elections explained
Really nice presentation .. with basic terms explained. Thank you.
23:30 Log Replication Repairing Inconsistencies
27:38 Failure Recovery