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Mastering Hadoop 3

You're reading from  Mastering Hadoop 3

Product type Book
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Pages 544 pages
Edition 1st Edition
Languages
Authors (2):
Chanchal Singh Chanchal Singh
Profile icon Chanchal Singh
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details
Toc

Table of Contents (23) Chapters close

Title Page
Dedication
About Packt
Foreword
Contributors
Preface
1. Journey to Hadoop 3 2. Deep Dive into the Hadoop Distributed File System 3. YARN Resource Management in Hadoop 4. Internals of MapReduce 5. SQL on Hadoop 6. Real-Time Processing Engines 7. Widely Used Hadoop Ecosystem Components 8. Designing Applications in Hadoop 9. Real-Time Stream Processing in Hadoop 10. Machine Learning in Hadoop 11. Hadoop in the Cloud 12. Hadoop Cluster Profiling 13. Who Can Do What in Hadoop 14. Network and Data Security 15. Monitoring Hadoop 1. Other Books You May Enjoy Index

Managing resources


Resource management is a continuous process for either on-premise infrastructures or infrastructure on the cloud. The instance you deploy, the cluster you spin up, and the storage you use all have to be continuously monitored and managed by the infrastructure team. Sometimes it may happen that you need to attach a volume to the already running instance, you may need to add an extra node to your distributed processing databases, or you may need to add instances to handle large traffic coming to the load balancer. The other resource management work includes configuration management, such as changing firewall rules, adding new users to access the resources, adding new rules to access other resources from the current resource, and so on. 

Initially due to a lack of good GUI interfaces and available tools for monitoring and managing resources, it was managed using custom scripts or commands. Today almost all cloud providers have well augmented graphical user interfaces and tools...

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