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OnCommand Insight: Intelligent Operation (OCIIO)

Course Description Schedule Course Outline

Detailed Course Outline

Module 1: Visualizing your Data Infrastructure

  • What is Insight
  • How to use Insight
  • Assets dashboard and UI toolbar
  • Resources, dashboards and widgets
  • Infrastructure navigation
  • Resource pages
  • Adding, removing and modifying timelines
  • Custom dashboards
  • Creating custom queries
  • Adding filters
  • Creating dashboards
  • Widget library
  • Custom dashboard
  • Annotations
    • Creation
    • Applying
    • Rules

Module 2: Data Path Management and Policies

  • Insight Java UI primary pane
  • Navigating the primary pane
  • Grouping
  • Search options
  • Microview toolbar
  • Data path policies configuration
    • Menu
    • Storage tab
    • Policies
  • Data path analysis tools
    • SAN path violations page
    • Microview panes
    • Topology pane
    • FC ports panes

Module 3: Performance Policy Creation, monitoring and troubleshooting

  • Network performance monitoring
  • Data flow
  • Zero-buffer-credit state
  • Performance policies
    • Violations dashboard
    • Policy dialog box
    • Setup
    • Port policy options
    • Alert thresholds
    • Policy pages
  • Slow drain devices detection
  • Finding violations of port performance
    • Expert views: metrics
    • Port and node metric comparisons
  • Diagnosis of slow drain device

Module 4: Virtual Resource Management and Tools for Root Cause Analysis

  • Virtual resource pages
  • Queries
  • Building a dashboard with VM data
  • Global searches
  • Application resource pages
  • Performance and correlated resources
  • Correlated resources investigations
  • Greedy resource
  • Tracing correlations
  • VM comparison

Module 5: Application Infrastructure Monitoring and the Anomaly Detection Engine

  • Application resources creations
  • Data resources
  • Insight applications
  • Anomaly scores
  • Finding anomalies
  • Anomaly widgets
  • Analytical tools
  • Examining an anomaly

Module 6: Ethernet Monitoring and Troubleshooting

  • Traditional OnCommand Insight view
  • New Insight I/O workload contributors chart
  • NFS workload monitoring
  • Ethernet monitoring
  • EMU restrictions
  • Internal volume page
  • NFSv3 contributors chart
  • NFS client activity chart

Module 7: Integrating New Resources and Alert Setup

  • Data sources and resources
  • Vendor options
  • Amazon S3 data sources
  • Polling intervals
  • Physical hosts
  • Port hosts
  • Host discovery and resolution
  • Policy alerts and setup
  • Assure events notification

Labs:

  • Create a dashboard showing top 10 internal volumes for the last 24 hours
  • Create an environment annotation list with the values of prod and dev, and bulk apply the annotations to objects using a query
  • Create a query to filter virtual machines named ‘SE’, use the query to create an annotation rule
  • Create an annotation rule based on a query to tag slow running development virtual machines with a note annotation with a value of ‘SLOW’
  • Create a dashboard to reflect various aspects of the environment
  • Analyze a single point of failure
  • Analyze a missing redundancy violation for a virtual machine
  • Analyze a path outage between a host and storage
  • Analyze a switch hop count violation
  • Use the Java client to set violation thresholds
  • Use the web UI to configure warning violation notification
  • Analyze the performance of the BSM system application and show the degradation is due to a slow drain device
  • Examine in more detail the performance of the BSM system application and determine associated storage port BB credit zero errors in the same fabric
  • Analyze the performance of the exchange application and show the degradation is due to a resource contention
  • Analyze a latency violation for Italian_Air_VM and determine root cause
  • Create an application annotation and apply it to a virtual machine
  • Analyze an anomaly for an application
  • Create a query to identify all applications with an anomaly score >50
  • Create a dashboard to display applications with high anomaly scores
  • Demonstrate the function of the anomaly engine as it reduces anomaly scores based on learned performance behavior
  • Analyze the ERP system application based on a high anomaly score
  • Create a performance policy to monitor virtual machine swap rates
  • Explore application performance
  • Explore virtual machine performance
  • Explore hypervisor host performance
  • Explore datastore performance
  • Explore internal volume performance
 

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