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Cassandra 3.x High Availability

Cassandra 3.x High Availability

By : Strickland
3.8 (6)
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Cassandra 3.x High Availability

Cassandra 3.x High Availability

3.8 (6)
By: Strickland

Overview of this book

Apache Cassandra is a massively scalable, peer-to-peer database designed for 100 percent uptime, with deployments in the tens of thousands of nodes, all supporting petabytes of data. This book offers a practical insight into building highly available, real-world applications using Apache Cassandra. The book starts with the fundamentals, helping you to understand how Apache Cassandra’s architecture allows it to achieve 100 percent uptime when other systems struggle to do so. You’ll get an excellent understanding of data distribution, replication, and Cassandra’s highly tunable consistency model. Then we take an in-depth look at Cassandra's robust support for multiple data centers, and you’ll see how to scale out a cluster. Next, the book explores the domain of application design, with chapters discussing the native driver and data modeling. Lastly, you’ll find out how to steer clear of common anti-patterns and take advantage of Cassandra’s ability to fail gracefully.
Table of Contents (10 chapters)
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Choosing the right hardware configuration


There are a number of points to consider when deciding on a node configuration, including disk sizes, memory requirements, and number of processor cores. The right choices here depend quite a bit on your use case and whether you are on physical or virtual infrastructure, but we will discuss some general guidelines here.

Since Cassandra is designed to be deployed in large-scale clusters on commodity hardware, an important consideration is whether to use fewer large nodes or a greater number of smaller nodes.

Regardless of whether you're using physical or virtual machines, there are a few key principles to keep in mind:

  • More RAM equals faster reads, so the more you have the better they will perform. This is because Cassandra can take advantage of its cache capabilities as well as larger memory tables. More space for memory tables means fewer scans to the on-disk SSTables. More memory also results in better filesystem caching, which reduces disk operations...

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