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ONTAP Performance Analysis

Collect and Analyze System Performance Data on Clustered Data ONTAP

NetApp Storage Solutions - Efficient | Stable | Powerful
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ONTAP Performance Analysis

Course Description

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.

Course Schedule

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NETAPP-PERFCDOT-REV01-ONTAP Performance Analysis
Duration: 3 days
NetApp Training Units: 36
Price: $ 2700.00
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Audience

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

Prerequisites

 The following pre-requisites or equivalent knowledge are required before taking this course:

 Clustered Data ONTAP Fundamentals

 Hands-on experience with Data ONTAP (3 to 6 months)

Objectives

This course focuses on enabling you to do the following:

 Understand how a storage system running ONTAP 9 functions

 Identify the commands and tools to use to collect and monitor storage system performance

 Interpret performance data and identify hindrances to storage system performance

 Use system commands and features to enhance storage system performance and efficiency

Course Outline

Module 1: How a NetApp Storage System Works

Module 2: Performance Analysis Tools

  • Lesson 1: Performance Terminology
  • Lesson 2: Performance Analysis Tools
  • Lesson 3: OnCommand Insight
  • Lesson 4: Performance Monitoring Methodology

Module 3: OnCommand Performance Manager

  • Lesson 1: OnCommand Performance Manager
  • Lesson 2: Using OnCommand Performance Manager

Module 4: CPU and Memory Performance

  • Lesson 1: Identifying CPU Performance Bottlenecks
  • Lesson 2: Resolving CPU Performance Bottlenecks
  • Lesson 3: Identifying Memory Performance Bottlenecks
  • Lesson 4: Resolving Memory Performance Bottlenecks

Module 5: WAFL Performance

  • Lesson 1: WAFL Functions
  • Lesson 2: WAFL Readahead
  • Lesson 3: Resolving WAFL Issues
  • Lesson 4: Best Practices

Module 6: Disk I/O Subsystem

  • Lesson 1: Disk Subsystem Hardware
  • Lesson 2: Analyzing and Isolating Disk Subsystem Bottlenecks
  • Lesson 3: Analyzing Disk Subsystem Bottlenecks with Statit
  • Lesson 4: Resolving Disk Subsystem Bottlenecks

Module 7: Flash Cache and Flash Pool Performance

  • Lesson 1: Virtual Storage Tier
  • Lesson 2: Resolving Cache Performance Issues

Module 8: Cluster Interconnect Performance

Module 9: Storage QoS

  • Lesson 1: Managing System Performance with QoS

Module 10: NAS Performance

  • Lesson 1: NAS
  • Lesson 2: Identifying NAS Bottlenecks
  • Lesson 3: Resolving NAS Bottlenecks

Module 11: SAN Performance

  • Lesson 1: SAN Overview
  • Lesson 2: SAN Multipathing
  • Lesson 3: SAN Load Balancing
  • Lesson 4: SAN I/O Misalignment
  • Lesson 5: Queue Depth

Module 12: Using What You Learned

Labs

  • Identify the exercise environment
  • Log in to the exercise environment
  • Add a cluster to OnCommand System Manager
  • Configure SNMP public community name
  • Identify clustered Data ONTAP components
  • Set the clustered Data ONTAP command line system timeout value (optional)
  • Examine the statistics catalog commands
  • Examine the statistics start and statistics show commands
  • Defining workload characteristics
  • Perform initial health checks on the cluster
  • Baseline performance monitoring from the cluster shell
  • Performance monitoring from the cluster shell
  • Unlock diag userid
  • Using the performance and statistics collector (Perfstat)
  • Reactively limit thoughput to a workload by associating the workload with QoS policy group
  • Proactively monitor workload performance by associating a workload with a QoS policy group
  • Isolate a tenant workload by associating the workload with a QoS policy group
 
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