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Performance Analysis on Clustered Data ONTAP

Course Details
Code: NA-PERFCDOT
Tuition (USD): $1,800.00 • Classroom (2 days)
$1,800.00 • Virtual (2 days)

This course provides you with the knowledge and skills that you need to collect and analyze system performance data from NetApp storage systems that are running clustered Data ONTAP. You learn how to interpret data and how to identify and implement changes that improve system efficiency. You also learn how to use system commands and features to monitor and enhance storage system performance using a combination of hands-on labs, case-studies, and technical discussion.

Skills Gained

  • By the end of this course, you should be able to:
  • Describe how data flows through the network and protocol layers of clustered Data ONTAP
  • Define performance-related terms and describe basic methodologies
  • Identify the methods that can be used to monitor and analyze storage system performance
  • Explain how methods and tools can be used to collect performance data
  • Use command output to analyze system performance
  • Use command output from case studies to identify performance bottlenecks
  • Implement configuration for recommended practices for resiliency and performance
  • Locate resources and information that help you maximize system performance

Who Can Benefit

  • Professionals who manage NetApp storage systems and would like a deeper understanding of Clustered Data ONTAP system performance.

Prerequisites

  • Clustered Data ONTAP 8.2 Administration (DCADM)

Course Details

Performance Analysis on Clustered Data ONTAP

  • Module 1 How a NetApp Storage System Works
  • Describe the layers within the Data ONTAP architecture
  • List the advantages that are provided by the ability of WAFL to optimize writes
  • Explain the purpose of NVRAM
  • Diagram the flow of read and write requests through the network and protocol layers of Data ONTAP
  • Describe the benefits that RAID provides
  • Module 2 Performance Overview
  • Define performance-related terms, such asbaselinebottleneckLittls law andlatenc
  • Describe baseline performance guidelines and methodologies as they relate to NetApp storage systems
  • Module 3 Clustered Storage System Workloads and Bottlenecks
  • Gather information about the workload of an existing storage system
  • Identify the storage system components that can affect performancbecome bottlenecks
  • Module 4 Cluster Performance Monitoring and Analysis
  • Describe the performance analysis tools and commands that are commonly used for cluster health checks
  • Identify the key performance commands and describe the command output that they produce
  • Explain how to use NetApp tools for performance measurement
  • Describe the benefits of using the AutoSupport support tool for performance analysis
  • Module 5 OnCommand Management Tools
  • List the three categories of performance tools
  • Explain the features and functions of Insight Perform
  • Explain the features and functions of OnCommand Balance
  • Use OnCommand management tools to view performance data
  • Module 6 Storage QoS
  • Discuss how the Storage Quality of Service (QoS) feature works in a clustered Data ONTAP environment
  • Identify the commands that are used to manage policy groups
  • Monitor workload performance
  • Lab Exercises
  • Lab 2-1 Identify the exercise environment
  • Lab 2-2 Log in to the exercise environment
  • Lab 2-3 Add a cluster to OnCommand System Manager
  • Lab 2-4 Configure SNMP public community name
  • Lab 2-5 Identify clustered Data ONTAP components
  • Lab 2-6 Set the clustered Data ONTAP command line system timeout value (optional)
  • Lab 3-1 Examine the statistics catalog commands
  • Lab 3-2 Examine the statistics start and statistics show commands
  • Lab 3-3 Defining workload characteristics
  • Lab 4-1 Perform initial health checks on the cluster
  • Lab 4-2 Baseline performance monitoring from the cluster shell
  • Lab 4-3 Performance monitoring from the cluster shell
  • Lab 4-4 Unlock diag userid
  • Lab 4-5 Using the performance and statistics collector (Perfstat)
  • Lab 6-1 Reactively limit thoughput to a workload by associating the workload with QoS policy group
  • Lab 6-2 Proactively monitor workload performance by associating a workload with a QoS policy group
  • Lab 6-3 Isolate a tenant workload by associating the workload with a QoS policy group