For those students who are looking for more in-depth knowledge on managing performance on Data ONTAP after completing Data ONTAP Administration should consider this class. It will teach students to use available tools such as system commands and NetApp OnCommand to collect and monitor performance data. Students will learn to use this data to identify and implement system changes that improve the efficiency of the system. Hands-on labs, case-studies, and technical discussions will take place throughout this 2-day course.
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Kesto
2 päivää
2 päivää
Toimitus
(Online ja paikan päällä)
(Online ja paikan päällä)
Hinta
Hinta pyydettäessä
Hinta pyydettäessä
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
Module 1: How a NetApp Storage System Works
- Storage system architecture
- Clustered Data ONTAP data access
- Write data access
- NVRAM and CPs
- RAID
- Value
- Storage resiliency features
Module 2: Performance Overview
- Basic terminology
- Workload characteristics
- Little’s law
- Storage system components
- Controller
- Disk shelf
- Client
- Performance guidelines
- Monitoring methodology
- Troubleshooting pitfalls
Module 3: Clustered Storage System Workloads and Bottlenecks
- Counters
- Statistics
- Catalog
- Start
- Show
- Show-periodic
- Workload characteristics measurements
- Analyzing characteristics data
- Bottlenecks
Module 4: Cluster Performance Monitoring and Analysis
- Health check commands
- Storage failover health
- Baseline monitoring commands
- Baseline perfromance monitoring
- Analyzing storage system bottlenecks
- Analyzing key storage controller resources
- Aggregate free space
- CPU and memory headroom
- Performance and statistics collector
- Perfstat download
- AutoSupport support tool
- Workload generators
- Simulated I/O tool
Module 5: OnCommand Management Tools
- Performance tools categories
- OnCommand Insight perform
- Best practices
- Metrics
- Arrays
- Analyzing tools
- OnCommand Balance
- Features
- Dashboard
- Alerts
Module 6: Storage QoS
- Definition
- Workloads
- Storage objects
- Policy groups
- When to use
- Reactive workload throttling
- Tenant isolation
- Monitoring commands
- Design considerations
Module 7: Summary
Supplemental Modules
Supplemental Modules
Module 8: More command Line Monitoring
- CPU troubleshooting
- CPU utilization
- Processor domains
- Bottleneck types
- Measure utilization
- Using QoS to monitor cluster performance
- QoS rules
- Statistics commands
- Flash Pool Monitoring
- Flash Pool workload prioritization
- CLI read and write policies
- GUI read and write policies
- Flash cache monitoring
- Flash cache prioritization
- San queue depth
- Calculating depth
- Configuration – Microsoft SQL, Oracle, MS Exchange, VMware
- Monitoring depth
Module 9: OnCommand System Manager, OnCommand Unified Manager, OnCommand Performance Manager, Harvest
- OnCommand System Manager
- OCSM 9.1 cluster dashboard
- SVM dashboard
- OCSM 9.x predictable performance
- Performance monitoring
- Unified Manager 7.1 integration with performance manager 7.1
- Simplified operations management
- Unified Manager 7.0 new features
- Unified Manager 7.1 new features
- Performance Manager (OPM)
- OPM 7.0 – Overview of features
- Performance capacity metric
- Latency vs. utilization
- Capacity used and optimal point
- Use cases
- OPM 7.0 failover planning for ONTAP 9
- Events and thresholds
- OPM 7.1 features
- FlexGroup in ONTAP 9.1
- NetApp harvest
- Overview
- Appliance configuration
- Appliance dashboards
Module 10: Basic Monitoring and Preventative Maintenance
- Alert configuration
- Monitoring tasks
- Performance workflow
- Network testing
- Latency
- NFS read/write size
- iSCSI TCP read/write size
- CIFS multiplex settings
- FC adapter port speed
- Disk response times
- Cluster object statistics
Module 11: ONTAP Cloud for AWS – Performance Factors
- ONTAP Cloud performance issues
- Compute and network factor
- Cloud Sizing exercise
- AWS EBS volumes
- “Disk” factor
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
Professionals who manage NetApp storage systems and would like a deeper understanding of Clustered Data ONTAP system performance.
Clustered Data ONTAP Administration or NA-CDOTDP
For those students who are looking for more in-depth knowledge on managing performance on Data ONTAP after completing Data ONTAP Administration should consider this class. It will teach students to use available tools such as system commands and NetApp OnCommand to collect and monitor performance data. Students will learn to use this data to identify and implement system changes that improve the efficiency of the system. Hands-on labs, case-studies, and technical discussions will take place throughout this 2-day course.
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
Module 1: How a NetApp Storage System Works
- Storage system architecture
- Clustered Data ONTAP data access
- Write data access
- NVRAM and CPs
- RAID
- Value
- Storage resiliency features
Module 2: Performance Overview
- Basic terminology
- Workload characteristics
- Little’s law
- Storage system components
- Controller
- Disk shelf
- Client
- Performance guidelines
- Monitoring methodology
- Troubleshooting pitfalls
Module 3: Clustered Storage System Workloads and Bottlenecks
- Counters
- Statistics
- Catalog
- Start
- Show
- Show-periodic
- Workload characteristics measurements
- Analyzing characteristics data
- Bottlenecks
Module 4: Cluster Performance Monitoring and Analysis
- Health check commands
- Storage failover health
- Baseline monitoring commands
- Baseline perfromance monitoring
- Analyzing storage system bottlenecks
- Analyzing key storage controller resources
- Aggregate free space
- CPU and memory headroom
- Performance and statistics collector
- Perfstat download
- AutoSupport support tool
- Workload generators
- Simulated I/O tool
Module 5: OnCommand Management Tools
- Performance tools categories
- OnCommand Insight perform
- Best practices
- Metrics
- Arrays
- Analyzing tools
- OnCommand Balance
- Features
- Dashboard
- Alerts
Module 6: Storage QoS
- Definition
- Workloads
- Storage objects
- Policy groups
- When to use
- Reactive workload throttling
- Tenant isolation
- Monitoring commands
- Design considerations
Module 7: Summary
Supplemental Modules
Supplemental Modules
Module 8: More command Line Monitoring
- CPU troubleshooting
- CPU utilization
- Processor domains
- Bottleneck types
- Measure utilization
- Using QoS to monitor cluster performance
- QoS rules
- Statistics commands
- Flash Pool Monitoring
- Flash Pool workload prioritization
- CLI read and write policies
- GUI read and write policies
- Flash cache monitoring
- Flash cache prioritization
- San queue depth
- Calculating depth
- Configuration – Microsoft SQL, Oracle, MS Exchange, VMware
- Monitoring depth
Module 9: OnCommand System Manager, OnCommand Unified Manager, OnCommand Performance Manager, Harvest
- OnCommand System Manager
- OCSM 9.1 cluster dashboard
- SVM dashboard
- OCSM 9.x predictable performance
- Performance monitoring
- Unified Manager 7.1 integration with performance manager 7.1
- Simplified operations management
- Unified Manager 7.0 new features
- Unified Manager 7.1 new features
- Performance Manager (OPM)
- OPM 7.0 – Overview of features
- Performance capacity metric
- Latency vs. utilization
- Capacity used and optimal point
- Use cases
- OPM 7.0 failover planning for ONTAP 9
- Events and thresholds
- OPM 7.1 features
- FlexGroup in ONTAP 9.1
- NetApp harvest
- Overview
- Appliance configuration
- Appliance dashboards
Module 10: Basic Monitoring and Preventative Maintenance
- Alert configuration
- Monitoring tasks
- Performance workflow
- Network testing
- Latency
- NFS read/write size
- iSCSI TCP read/write size
- CIFS multiplex settings
- FC adapter port speed
- Disk response times
- Cluster object statistics
Module 11: ONTAP Cloud for AWS – Performance Factors
- ONTAP Cloud performance issues
- Compute and network factor
- Cloud Sizing exercise
- AWS EBS volumes
- “Disk” factor
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
Professionals who manage NetApp storage systems and would like a deeper understanding of Clustered Data ONTAP system performance.
Clustered Data ONTAP Administration or NA-CDOTDP
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