How Consistent Hashing Handles Growth and Failures скачать в хорошем качестве

How Consistent Hashing Handles Growth and Failures

This video explains consistent hashing for distributed caches and data stores: map keys and nodes onto a hash ring, route each key to the next node clockwise, and only move a small slice of keys when nodes are added or removed. See how adding/removing nodes shifts just the affected wedge, how replication improves availability, and how virtual nodes smooth load to avoid hotspots. Includes practical tips on hash choices, vnode counts, throttled rebalancing, and monitoring ownership skew for real clusters. What you’ll learn: Hash ring basics: key/node placement and clockwise ownership Adding/removing nodes: minimal key movement and quick recovery Virtual nodes: balancing load and reducing hotspots Replication and quorum reads/writes for resilience Operational tips: hashing, rebalancing, and observability Chapters: 0:00 Intro 0:20 Hash ring fundamentals 0:58 Adding a node (local key movement) 1:34 Removing/failing nodes (handoff and replication) 2:04 Virtual nodes for load balancing 2:34 Ops tips and real‑world use cases 2:56 Key takeaways