About this course

Course code TPOPSA125
Duration 4 Days

This four-day, entry-level, instructor-led workshop offers technical personnel the opportunity to gain hands-on experience configuring Operations Analytics (OpsA) to collect, analyze, and present data from a variety of data sources. This workshop includes hands-on labs that use version 2.31 of the Operations Analytics software.

Prerequisites

  • IT operations principles and practices
  • Systems and network, administration
  • Network, system, and application monitoring principles and practices

Who should attend?

  • This workshop is recommended for application or system support personnel responsible for the availability and performance of business services and the supporting infrastructure.

Delegates will learn how to

  • Describe the components of an HPE Operations Analytics (OpsA) deployment
  • Configure OpsA to collect from HPE Business Process Monitor (BPM), HPE SiteScope, and HPE Operations Agents (OA)
  • Configure OpsA to collect log messages from HPE ArcSight Logger and Splunk
  • Use basic Phrase Query Language (PQL) to locate data of interest
  • Create a new dashboard
  • Create an OpsA service topology
  • Use PQL in the dashboard search field to locate data
  • Configure OpsA to collect custom data from a .csv file, database, and Transmission Control Protocol (TCP) channel
  • Create Analytics Query Language (AQL) queries for OpsA data analysis
  • Implement a custom Flex Connector
  • Use the predict feature to analyze metric behaviour
  • Use the correlate feature to analyze relationships between metrics
  • Define and manage alerts
  • Explain the features, capabilities, and value of log and event analytics
  • Enable tracking on message groups and parameters

Outline

Module 1: Course Overview

  • Course objectives
  • Class logistics
  • The lab environment
  • Additional course information
  • Course schedule


Module 2: OpsA Overview

  • Describe how you can use Big Data analytics to improve service quality
  • Describe the purpose of Operations Analytics (OpsA)
  • Describe the key features of OpsA

Module 3: OpsA Deployments

  • Describe the components of an OpsA deployment
  • Describe the role of the OpsA Collector
  • Describe the types of data collected by OpsA
  • List the Smart Connectors available from HPE
  • Describe the role of the OpsA server
  • Describe the role of Vertica in an OpsA deployment
  • Describe the capabilities provided when OpsA is integrated with Operations Manager I (OMi) software and Business Service Management (BSM)
  • Describe the minimum server resource needed in an OpsA deployment
  • Describe the environment required to host and use OpsA

Module 4: Metric and Event Collection

  • Describe the metric and event sources supported by OpsA OOTB
  • Describe how OpsA stores collected metric and event data
  • Use Collections Manager to create and manage collection definitions
  • Configure OpsA to collect Business Process Monitor (BPM) data
  • Configure OpsA to collect SiteScope data
  • Configure OpsA to collect Operations Agent (OA) data

Module 5: Log Data Collection

  • Describe how HPE ArcSight Logger data is integrated into OpsA
  • Describe how Splunk data is integrated into OpsA
  • Configure OpsA to collect log messages from ArcSight Logger
  • Configure OpsA to collect log messages from Splunk
  • Create mappings to associate Splunk message fields to OpsA fields

Module 6: Using OpsA Dashboards

  • Access OpsA dashboards
  • Use basic Phrase Query Language (PQL) to locate data of interest
  • Locate data for a time range of interest
  • Use the Playback feature to view the progression of recent status changes
  • Create a new dashboard
  • Copy a pane to a dashboard
  • Add metrics to a pane using the drag-and-drop feature
  • Create an OpsA service topology
  • Search and navigate data for a service topology

Module 7: Intelligent Searching Using PQL

  • Describe the two different query languages supported by OpsA
  • Use guided search capabilities provided by OpsA
  • Use PQL in the dashboard search field to locate data
  • Explain how tags within data enable intelligent searching
  • Explain how keys within data enable intelligent searching
  • Use tags and keys in PQL to refine searches

Module 8: Custom Collections

  • Explain the steps to ingesting data into OpsA
  • Describe the custom collection channels supported by OpsA
  • Configure OpsA to collect a CSV metric file
  • Configure OpsA to collect a CSV event file
  • Configure OpsA to collect data from a database using the Java Database Connectivity (JDBC) channel
  • Configure OpsA to collect data from a web service using the TCP channel

Module 9: Using AQL 

  • Describe how OpsA data is accessed
  • Describe the purpose of Analytics Query Language (AQL)
  • Analyze and understand AQL used in OpsA dashboards
  • Create AQL queries for OpsA data analysis
  • Access OpsA table details in the OpsA UI
  • Use OOTB analytic functions provided by AQL
  • Use OOTB generic functions provided by AQL
  • Create simple AQL functions
  • Use OOTB raw log functions provided by AQL

Module 10: Flex Connector Configuration

  • Describe how log data is collected by OpsA
  • List the Smart Connectors supported by OpsA
  • Describe the purpose of Flex Connectors
  • Describe the types of data that can be collected using Flex Connectors
  • Create a Flex Connector configuration in OpsA
  • Install a Flex Connector instance
  • Deploy the flex configuration file to the new Flex Connector instance

Module 11: Predictive Analytics and Correlation

  • Use the predict feature to analyze metric behavior
  • Describe how OpsA calculates baselines
  • Describe how OpsA calculates predictions
  • Use the correlate feature to analyze relationships between metrics
  • Describe how OpsA calculates correlations

Module 12: Alert Administration

  • Describe the alert delivery methods available with OpsA
  • Define an alert
  • Configure OpsA to deliver alerts as emails
  • Configure OpsA to deliver alerts as SNMP traps
  • View and manage alerts using Alerts Manager
  • Access alert history in alert dashboards
  • Configure OpsA to deliver alerts to OMi as events

Module 13: Log and Event Analytics

  • Explain the features, capabilities, and value of log and event analytics
  • List log and event analytics data sources
  • Describe the log analytics data flow
  • Enable tracking on message groups
  • Enable tracking on parameters within message groups
  • Administer message group and parameter tracking

4 Days

Duration

This is a QA approved partner course

Delivery Method

Delivery method

Classroom

Face-to-face learning in the comfort of our quality nationwide centres, with free refreshments and Wi-Fi.

Find dates and prices

Online booking is currently not available for this course, to find out more please call us on 0345 074 7998 or email us at info@qa.com to discuss how we can help.

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