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loonytek.com | ||
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tomaugspurger.net
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| | | | | 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. | |
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timilearning.com
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| | | | | One common pattern in the previous systems we have discussed like MapReduce, GFS, and VMware FT is that they all rely on a single entity to make the key decisions. While this has the advantage of making it easier for the system to decide, the downside of this approach is that the entity is now a single point of failure. In this post, we'll learn how the Raft consensus algorithm solves this problem. | |
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abhyrama.com
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| | | | | 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... | |
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blog.aymenhamza.com
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| | | Welcome to my developer blog! I'm a software developer with a passion for creating and building things. On this blog, I'll be sharing my thoughts, experiences, and insights on all things development. Whether you're just starting out in the field or you're a seasoned pro, I hope you'll find something | ||
