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Cassandra 3.x High Availability - Second Edition
Cassandra 3.x High Availability - Second Edition

Cassandra 3.x High Availability: Achieve scalability and high availability without compromising on performance, Second Edition

By Robbie Strickland
€28.99
Book Aug 2016 196 pages 2nd Edition
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eBook
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Publication date : Aug 29, 2016
Length 196 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781786462107
Vendor :
Apple
Category :

Estimated delivery fee Deliver to Spain

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Table of content icon View table of contents Preview book icon Preview Book

Cassandra 3.x High Availability - Second Edition

Chapter 1.  Cassandras Approach to High Availability

What does it mean for a data store to be highly available? When designing or configuring a system for high availability, architects typically hope to offer some guarantee of uptime even in the presence of failure. Historically, it has been sufficient for the vast majority of systems to be available for less than 100 percent of the time, with some attempting to achieve the five nines, or 99.999, percent uptime.

The exact definition of high availability depends on the requirements of the application. This concept has gained increasing significance in the context of web applications, real-time systems, and other use cases that cannot afford any downtime. Database systems must not only guarantee system uptime, the ability to fulfill requests, but also ensure that the data itself remains available.

Traditionally, it has been difficult to make databases highly available, especially the relational database systems that have dominated the scene for the last couple of decades. These systems are most often designed to run on a single large machine, making it challenging to scale out to multiple machines.

Let's examine some of the reasons why many popular database systems have difficulty being deployed in high availability configurations, as this will allow us to have a greater understanding of the improvements that Cassandra offers. Exploring these reasons can help us to put aside previous assumptions that simply don't translate to the Cassandra model.

Therefore, in this chapter, we'll cover the following topics:

  • The Atomicity Consistency Isolation Durability (ACID) properties

  • Monolithic architecture

  • Master-slave architecture, covering sharding and leader election

  • Cassandra's approach to achieving high availability

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Key benefits

  • See how to get 100 percent uptime with your Cassandra applications using this easy-follow guide
  • Learn how to avoid common and not-so-common mistakes while working with Cassandra using this highly practical guide
  • Get familiar with the intricacies of working with Cassandra for high availability in your work environment with this go-to-guide

Description

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.

What you will learn

[*] Understand how the core architecture of Cassandra enables highly available applications [*] Use replication and tunable consistency levels to balance consistency, availability, and performance [*] Set up multiple data centers to enable failover, load balancing, and geographic distribution [*] Add capacity to your cluster with zero downtime [*] Take advantage of high availability features in the native driver [*] Create data models that scale well and maximize availability [*] Understand common anti-patterns so you can avoid them [*] Keep your system working well even during failure scenarios

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Product Details


Publication date : Aug 29, 2016
Length 196 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781786462107
Vendor :
Apple
Category :

Estimated delivery fee Deliver to Spain

Premium 7 - 10 business days

€23.95
(Includes tracking information)

Table of Contents

15 Chapters
Cassandra 3.x High Availability - Second Edition Chevron down icon Chevron up icon
Credits Chevron down icon Chevron up icon
About the Author Chevron down icon Chevron up icon
About the Reviewer Chevron down icon Chevron up icon
www.PacktPub.com Chevron down icon Chevron up icon
Preface Chevron down icon Chevron up icon
1. Cassandras Approach to High Availability Chevron down icon Chevron up icon
2. Data Distribution Chevron down icon Chevron up icon
3. Replication Chevron down icon Chevron up icon
4. Data Centers Chevron down icon Chevron up icon
5. Scaling Out Chevron down icon Chevron up icon
6. High Availability Features in the Native Java Client Chevron down icon Chevron up icon
7. Modeling for Availability Chevron down icon Chevron up icon
8. Anti-Patterns Chevron down icon Chevron up icon
9. Failing Gracefully Chevron down icon Chevron up icon

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