Explore >> Select a destination
|
You are here 
|
loonytek.com | ||
| | | | |
abhyrama.com
|
|
| | | | | The CAP theorem says that in the event of a network partition, a distributed system can be either consistent or available, not both. Let us first define some of the terms in the CAP theorem. A distributed system is a group of independent computers coordinating with each other to solve a problem. The group of... | |
| | | | |
aphyr.com
|
|
| | | | | ||
| | | | |
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. | |
| | | | |
davquar.it
|
|
| | | Let's look at Paxos: a beautiful and fundamental safe, but not live, distributed consensus protocol. Let's see how it works, what the main elements are, and have some examples. | ||
