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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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Use cases for multiple data centers


There are several key use cases for deploying Cassandra across multiple data centers, including the obvious failover and load balancing scenarios. Let's examine a few of these cases.

Live backup

Traditional database backups involve taking periodic snapshots of the data and storing them offsite in case the system fails, in which case there will be downtime as a new system is brought up and the data is restored. This strategy also inevitably leads to data loss for the time period between the last backup and the point of failure.

Cassandra supports these types of backups, and we will discuss this in greater depth in Chapter 9 , Failing Gracefully. While snapshot backups are still useful to protect against data corruption or accidental updates, Cassandra's data center support can be used to provide a current backup for cases such as hardware failures.

The basic idea involves setting up a second data center that maintains a current set of replicas that can be...

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