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2 Days

(Online and onsite)

Price Upon Request
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
- CatalogueStart
- Show
- Show-periodic
- Workload characteristics measurements
- Analyzing characteristics of data
- Bottlenecks
Module 4: Cluster Performance Monitoring and Analysis
- Health check commands
- Storage failover health
- Baseline monitoring commands
- Baseline performance monitoring
- Analyzing storage system bottlenecks
- Analyzing key storage controller resources
- Aggregate free space
- CPU and memory headroom
- Performance and statistics collector
- Perf stat download
- AutoSupport support tool
- Workload generators
- Simulated I/O tool
Module 5: OnCommand Management Tools
- Performance tools categories
- OnCommand Insight performs
- 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 catalogue 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 user ID
- Using the performance and statistics collector (Perfstat)
- Reactively limit throughput 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.
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
- CatalogueStart
- Show
- Show-periodic
- Workload characteristics measurements
- Analyzing characteristics of data
- Bottlenecks
Module 4: Cluster Performance Monitoring and Analysis
- Health check commands
- Storage failover health
- Baseline monitoring commands
- Baseline performance monitoring
- Analyzing storage system bottlenecks
- Analyzing key storage controller resources
- Aggregate free space
- CPU and memory headroom
- Performance and statistics collector
- Perf stat download
- AutoSupport support tool
- Workload generators
- Simulated I/O tool
Module 5: OnCommand Management Tools
- Performance tools categories
- OnCommand Insight performs
- 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 catalogue 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 user ID
- Using the performance and statistics collector (Perfstat)
- Reactively limit throughput 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.