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Cassandra High Availability

You're reading from   Cassandra High Availability Harness the power of Apache Cassandra to build scalable, fault-tolerant, and readily available applications

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Product type Paperback
Published in Dec 2014
Publisher Packt
ISBN-13 9781783989126
Length 186 pages
Edition 1st Edition
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Author (1):
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Robbie Strickland Robbie Strickland
Author Profile Icon Robbie Strickland
Robbie Strickland
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Table of Contents (11) Chapters Close

Preface 1. Cassandra's Approach to High Availability FREE CHAPTER 2. Data Distribution 3. Replication 4. Data Centers 5. Scaling Out 6. High Availability Features in the Native Java Client 7. Modeling for High Availability 8. Antipatterns 9. Failing Gracefully Index

The monolithic architecture

The simplest design approach to guarantee ACID properties is to implement a monolithic architecture where all functions reside on a single machine. Since no coordination among nodes is required, the task of enforcing all the system rules is relatively straightforward.

Increasing availability in such architectures typically involves hardware layer improvements, such as RAID arrays, multiple network interfaces, and hot-swappable drives. However, the fact remains that even the most robust database server acts as a single point of failure. This means that if the server fails, the application becomes unavailable. This architecture can be illustrated with the following diagram:

The monolithic architecture

A common means of increasing capacity to handle requests on a monolithic architecture is to move the storage layer to a shared component such as a storage area network (SAN) or network attached storage (NAS). Such devices are usually quite robust with large numbers of disks and high-speed network interfaces. This approach is shown in a modification of the previous diagram, which depicts two database servers using a single NAS.

The monolithic architecture

You'll notice that while this architecture increases the overall request handling capacity of the system, it simply moves the single failure point from the database server to the storage layer. As a result, there is no real improvement from an availability perspective.

You have been reading a chapter from
Cassandra High Availability
Published in: Dec 2014
Publisher: Packt
ISBN-13: 9781783989126
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