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Learning Real-time Analytics with Storm and Cassandra

You're reading from   Learning Real-time Analytics with Storm and Cassandra Solve real-time analytics problems effectively using Storm and Cassandra

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784395490
Length 220 pages
Edition 1st Edition
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Author (1):
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Shilpi Saxena Shilpi Saxena
Author Profile Icon Shilpi Saxena
Shilpi Saxena
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Table of Contents (14) Chapters Close

Preface 1. Let's Understand Storm FREE CHAPTER 2. Getting Started with Your First Topology 3. Understanding Storm Internals by Examples 4. Storm in a Clustered Mode 5. Storm High Availability and Failover 6. Adding NoSQL Persistence to Storm 7. Cassandra Partitioning, High Availability, and Consistency 8. Cassandra Management and Maintenance 9. Storm Management and Maintenance 10. Advance Concepts in Storm 11. Distributed Cache and CEP with Storm A. Quiz Answers Index

Storm troubleshooting


As developers, we need to accept the reality that things do go wrong and debugging is required. This section is going to equip you to handle such situations effectively and efficiently. The first thing is to understand two root mantras of the programming world:

  • Work as if everything that could break will break

  • Anything that could break can be fixed

Having accepted the reality, let's address the situation first by understanding what could fail and then have a clear understanding of where we should start the analysis to help us handle any situation with the Storm cluster. Let's get to grips with the various pointers that show us the problems and thus guide us to prospective solutions.

The Storm UI

First of all, let's understand which statistics and indicators are present on the UI itself. The latest UI has scores of indicators that give us an insight into what is going on in the cluster and what could go wrong (just in case things break).

Let's look at Storm UI where the Cluster...

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