Performance Analysis on Clustered Data ONTAP (PERFCDOT)

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COURSE INFORMATION

Performance Analysis on Clustered Data ONTAP (PERFCDOT) Overview:

Performance Analysis on Clustered Data ONTAP (PERFCDOT) hands-on, two-day course will teach you how to use available tools such as system commands and NetApp OnCommand to collect and monitor performance data. You will learn to use this data to identify and implement system changes that improve the efficiency of the system.

Who Should Attend:

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

Performance Analysis on Clustered Data ONTAP (PERFCDOT) Prerequisites:

Before attending this course, you must have attended the following:

Clustered Data ONTAP 8.3 Administration and Data Protection (CDOTDP)

Performance Analysis on Clustered Data ONTAP (PERFCDOT) Objectives:

After successfully completing this course, you will 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

Performance Analysis on Clustered Data ONTAP (PERFCDOT) Outline:

Module 1: NetApp Storage System Overview

Layers within the Data ONTAP architecture
Advantages that are provided by the ability of WAFL to optimize writes
Purpose of NVRAM
Diagram the flow of read and write requests through the network and protocol layers of Data ONTAP
Benefits that RAID provides
Module 1 Labs:

Lab 1: Identify the exercise environment
Lab 2: Log in to the exercise environment
Lab 3: Add a cluster to OnCommand System Manager

Module 2: Performance Overview

Review the following performance-related terms:

Baseline
Bottleneck
Little’s law
Latency

Baseline performance guidelines and methodologies as they relate to NetApp storage systems
Module 2 Labs:

Lab 1: Configure SNMP public community name
Lab 2: Identify clustered Data ONTAP components
Lab 3: Set the clustered Data ONTAP command line system timeout value
Lab 4: Examine the statistics catalog commands
Lab 5: Examine the statistics start and statistics show commands

Module 3: Clustered Storage System Workloads and Bottlenecks

Information gathering about the workload of an existing storage system
Storage system components that can affect performance—become bottlenecks
Module 3 Labs:

Lab 1: Defining workload characteristics

Module 4: Cluster Performance Monitoring and Analysis

Performance analysis tools and commands that are commonly used for cluster health checks
Key performance commands and describe the command output that they produce
Performance measurement using NetApp tools
Benefits of using the AutoSupport support tool for performance analysis
Module 4 Labs:

Lab 1: Perform initial health checks on the cluster
Lab 2: Baseline performance monitoring from the cluster shell

Module 5: OnCommand Management Tools

Performance tools categories
Insight Perform features and functions
OnCommand Balance features and functions
View performance data using OnCommand management tools
Module 5 Labs:

Lab 1: Performance monitoring from the cluster shell
Lab 2: Unlock diag userid
Lab 3: Using the performance and statistics collector (Perfstat)

Module 6: Storage QoS

How the Storage Quality of Service (QoS) feature works in a clustered Data ONTAP environment
Manage policy groups commands
Workload performance monitoring
Module 6 Labs:

Lab 1: Reactively limit throughput to a workload by associating the workload with QoS policy group
Lab 2: Proactively monitor workload performance by associating a workload with a QoS policy group
Lab 3: Isolate a tenant workload by associating the workload with a QoS policy group