Performance Tuning Best Practices

Apache Hadoop 1.0    |    Intermediate
  • 11 videos | 1h 14m 37s
  • Includes Assessment
  • Earns a Badge
Rating 3.7 of 3 users Rating 3.7 of 3 users (3)
Hadoop can scale up from single servers to thousands of machines, each offering local computation and storage. Discover performance tuning concepts, including compression, tune up options, and memory optimization.

WHAT YOU WILL LEARN

  • Recall the three main functions of service capacity
    Describe different strategies of performance tuning
    List some of the best practices for network tuning
    Install compression
    Describe the configuration files and parameters used in performance tuning of the operating system
    Describe the purpose of java tuning
  • Recall some of the rules for tuning the data node
    Describe the configuration files and parameters used in performance tuning of memory for daemons
    Describe the purpose of memory tuning for yarn
    Recall why the node manager kills containers
    Performance tune memory for the hadoop cluster

IN THIS COURSE

  • 6m 9s
  • 9m 51s
  • Locked
    3.  Examining Best Practices for Network Tuning
    4m 35s
  • Locked
    4.  Installing Compression
    10m 9s
  • Locked
    5.  Examining Operating System Tune Up Options
    5m 49s
  • Locked
    6.  Examining Java Tune Up Options
    5m 41s
  • Locked
    7.  Examining Input and Output Tune Up Options
    3m 45s
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    8.  Optimizing Memory for Daemons
    3m 21s
  • Locked
    9.  Optimizing Memory for YARN
    5m 58s
  • Locked
    10.  Optimizing Memory for Containers
    6m 55s
  • Locked
    11.  Tuning Memory for Hadoop Clusters
    12m 23s

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