January 2016
Beginner to intermediate
304 pages
8h 16m
English
book
Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing
by Mohammed Guller
Content preview from Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing
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CHAPTER 11
Monitoring
Monitoring is a critical part of application management. It plays an even more important role in distributed computing, which involves a lot more moving parts. The possibility of something failing or application not performing at optimal level is high.
However, troubleshooting problems and optimizing application performance are difficult tasks in a distributed environment. Unlike an application running on a single machine, a distributed system cannot be debugged with traditional debugging tools. Therefore, it is essential to instrument the various components of a distributed system, so that they can be remotely monitored ...
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