|
You are here |
briankung.dev | ||
| | | | |
emptysqua.re
|
|
| | | | | Which consensus algorithm will win? | |
| | | | |
tomaugspurger.net
|
|
| | | | | Last week, I was fortunate to attend Dave Beazley's Rafting Trip course. The pretext of the course is to implement the Raft Consensus Algorithm. I'll post more about Raft, and the journey of implementing, it later. But in brief, Raft is an algorithm that lets a cluster of machines work together to reliably do something. If you had a service that needed to stay up (and stay consistent), even if some of the machines in the cluster went down, then you might want to use Raft. | |
| | | | |
eli.thegreenplace.net
|
|
| | | | | ||
| | | | |
jack-vanlightly.com
|
|
| | | This post continues my series looking at log replication protocols, within the context of state-machine replication (SMR) or just when the log itself is the product (such as Kafka). So far I've been looking at Virtual Consensus, but now I'm going to widen the view to look at how log replication protocols can be disaggregated in general (there are many ways). In the next post, I'll do a survey of log replication systems in terms of the types of disaggregation described in this post. | ||