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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

Scaling out versus scaling up

So you know it's time to add more muscle to your cluster, but how do you know whether to scale up or out?

If you're not familiar with the difference, scaling up refers to converting existing infrastructure into better or more robust hardware (or instance types in cloud environments). This can mean adding storage capacity, increasing memory, moving to newer machines with more cores, and so on.

Scaling out simply means adding more machines that roughly match the specifications of the existing machines. Since Cassandra scales linearly with its peer-to-peer architecture, scaling out is often more desirable.

Note

In general, it is better to replace physical hardware components incrementally rather than all at one time. This is because in large systems, failures tend to occur after hardware ages to a certain point, which is statistically likely to happen simultaneously for some subset of your nodes.

For example, purchasing a large amount of drives from a single...

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