Ask HN: How frequently do VMs fail in real-world setups?

Raft and similar consensus algorithms have the advantage that multiple nodes can process data, while primary-standby only reads are distributed. Databases are a good example: each node needs to process a lot of data, but written they are rather small, so it makes sense to distribute the requests and let an node only deal with 1/3 of the requests instead of an node with 100% of the requests that gets overloaded with them.

Virtual Machines (VMs) rarely fail, but leadership is understandably hesitant to risk downtime. Implementing a multi-node architecture offers both easier and more cost-effective assurance for ensuring the availability and reliability of applications. Opting for redundancy is a logical decision, driven by the need for reliability rather than technical concerns.

more tooling!!!!111