Operations Bridge Analytics 3.x Essentials (OBA120)

 

Course Overview

This four-day, entry-level, instructor-led course offers technical personnel the opportunity to gain hands-on experience configuring Operations Bridge Analytics (OBA) to collect, analyze, and present data from a variety of data sources. This course includes hands-on labs that use version 3.0 of the Operations Bridge Analytics software. The hands-on labs for this course use version 3.01 of the OBA software.

A qui s'adresse cette formation

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

Pré-requis

To be successful in this course, you should have the following prerequisites or knowledge:

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

Objectifs

Upon successful completion of this course, you should be able to:

  • Describe the components of an Operations Bridge Analytics (OBA) deployment
  • Configure OBA to collect from Business Process Monitor (BPM), SiteScope, and Operations Agents (OA)
  • Configure OBA to collect log messages from ArcSight Logger, Splunk, and Logstash
  • Use the Log streaming capability to collect logs.
  • Use the Search Tool to locate data of interest
  • Create a new dashboard
  • Create an OBA service topology
  • Use Search Tool to query event and log data
  • Configure OBA to collect data by using Operation Analytics data pipe
  • Create Analytics Query Language (AQL) queries and create customized dashboards
  • Use and setup the Anomaly detection to proactively detect abnormal behavior
  • Use the predict feature to analyze metric behavior
  • 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

Contenu

Module 1: Course Overview

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

Module 2: OBA Overview

  • Introduction to Operation Bridge suite
  • Describe the purpose of Operations Bridge Analytics (OBA)
  • Describe the key features of OBA
  • Describe how you can use Big Data analytics to improve service quality
  • Interactive OBA Demonstration

Module 3: Using OBA Dashboards

  • Access OBA dashboards
  • Use basic Phrase Query Language (PQL) and Extensible Query Language (XQL) to locate data 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 OBA service topology
  • Search and navigate data for a service topology

Module 4: Proactive Analytics and Correlation

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

Module 5: Smart search

  • Describe the different query languages supported by OBA
  • Use the guided search capabilities provided by OBA
  • Use PQL in the dashboard search field to locate data
  • Use tags and keys in PQL to refine searches
  • Use XQL to search for log and event messages

Module 6: Log and Event Analytics

  • Explain the features, capabilities, and value of log and event analytics
  • Describe the log and event analytics processing
  • Enable tracking on message groups
  • Enable tracking on parameters within message groups
  • Administer message groups and parameters

Module 7: Anomaly Detection

  • Use anomaly detection for predictive analytics
  • Investigate anomalies in OBA
  • Use anomaly settings to tune anomaly behavior
  • Integrate OBA anomalies and OMi events

Module 8: Using AQL

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

Module 9: OBA Deployments

  • Describe the components of an OBA deployment
  • Describe the role of the OBA Collector
  • Describe the types of data collected by OBA
  • Describe the role of the OBA server
  • Describe the role of Vertica in an OBA deployment
  • Describe the capabilities provided when OBA is integrated with Operations Manager i (OMi) and Application Performance Management (APM)
  • Describe the minimum server resource needed in an OBA deployment
  • Describe the environment required to host and use OBA

Module 10: Collecting Metrics and Events from Micro Focus Products

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

Module 11: Log Data Collection

  • Integrate with ArcSight Logger
  • Integrate with Splunk
  • Create mappings to associate Splunk message fields to OBA fields
  • Configure Logstash to send log messages to OBA
  • Configure OA log streaming

Module 12: Alert Administration

  • Describe the alert delivery methods available with OBA
  • Define an alert
  • Configure OBA to deliver alerts
  • View and manage alerts using Alerts Manager
  • Access alert history in alert dashboards
  • Configure OBA to deliver alerts to OMi as events
Formation en ligne

Durée 4 jours

 
pointer une ville pour s'enregistrer Agenda
France

Actuellement pas de date de disponible  For enquiries please write to info@flane.fr.

Europe
Allemagne
25.11. - 28.11.2019 Gelnhausen