Operations Bridge Analytics (OBA) Business Administration (OBABA) – Outline

Detailed Course Outline

Module 1: Course Overview
  • Describe the lab environment.
  • Describe how to connect.
  • Describe the lab environment operation:
  • Using mRemoteNG
  • In-lab file transfers
  • Perform the verification of the lab machines.
  • Perform the verification of product availability – per-product.
Module 2: Operations Bridge Analytics Overview
  • Define OBA.
  • Describe the OBA components.
  • Describe the OBA use cases.
Module 3: OBA Architecture
  • Describe the OBA architecture.
  • Describe the OBA deployments.
  • Describe the OBA integrations.
  • Describe the support matrix, sizing, and data benchmark.
Module 4: Configure Collections
  • Describe the concept and terminology behind a collection.
  • Outline the different kind of data sources for Operation Analytics.
  • Define the architecture and components of the Collection Manager.
  • Navigate the Collection Manger UI.
  • Configure APM collectors.
  • Verify existing collections
Module 5: Configure Collections – Log Streaming
  • Describe the concepts and terminology behind a log collection.
  • Configure the OA Log Collector.
Module 6: Dashboards and Topology Manager
  • Explain the purpose of dashboards.
  • Describe how to manage a dashboard (new, copy, edit, share, and delete).
  • Get familiar with the Operation Analytics console main features.
  • Work with the Topology Manager.
Module 7: PQL and Tagging
  • Describe how Search works in Big Data (OBA Style).
  • Describe how PQL and Guided Search work.
  • Provide a general overview of search capabilities.
  • Explain how PQL works with:
  • Tags
  • Keys
  • Keywords
  • Advanced Configuration
  • Describe how the PQL and Log Search work.
Module 8: Search
  • Describe the common search features.
  • The Search UI
  • Text Search
  • Significance tab
  • XQL syntax
  • Describe the message overtime chart.
  • Fields
  • Message details
  • Message actions
  • Describe the Log and Events pane.
Module 9: AQL
  • Explain what AQL is and its role in data analysis.
  • Write clear and concise queries using the correct syntax and structure of AQL.
  • Explore and master AQL functions and expressions to manipulate data with precision.
  • Use AQL visualizations to transform data into compelling and informative visuals.
Module 10: Metrics Analytics
  • Explain predictive analysis and its role in data exploration.
  • Use predictions generated through analysis for informed decision making.
  • Recognize different themes and patterns within predictions.
  • Troubleshoot potential problems that might arise during the predictive analysis process.
  • Explain the concept of correlation between metrics and its significance in data analysis.
  • Use the correlation between metrics to gain valuable insights.
  • Explore the underlying principles that govern metric correlations.
  • Discover practical applications of metric correlation across various scenarios.
Module 11: Alerts
  • Master the Alert Wizard to efficiently create alerts.
  • Perform administrator tasks associated with alerts.
  • Navigate and use the Alert Manager for effective monitoring.
  • Interpret valuable information presented on the Alert Dashboard.
  • Explain the processes running "behind the scenes" for alerts.
  • Explore forwarding alerts to OBM for wider notification.
Module 12: Anomaly Detection
  • Define an anomaly.
  • Define breach detection and score.
  • Explain the anomaly detection workflow.
  • Explain the anomaly sensitivity settings.
  • Configure OBA default anomaly settings.
  • Configure keywords in OBA.
  • Use the anomaly dashboard to search for and investigate anomalies.
Module 13: Optic integration
  • Set up the integration.
  • Set up the CLI integration.
  • Configure an OPTIC collection.
  • Create an OPTIC collection.
  • Deploy and OPTIC collection.
  • Remove an OPTIC collection.
  • Detect breaches.
Module 14: Anomaly Detection Configurator
  • Describe the anomaly detection flow.
  • Describe the five parameterization areas.
  • Describe how the opsa paco CLI works.
  • Describe how the Anomaly Detection Configurator UI works.
  • Describe the configurator access points.
  • Explain the landing page.
  • Create, update, and remove parameter configuration.
Module 15: OPTIC Data Lake Source Type Configurator
  • Describe the OBA source type configuration in OPTIC.
  • Describe the Configurator main page.
  • Create, update, and remove a collection.
  • Update collection metadata.
Module 16: OBA-OBM Integration
  • Describe OBM – OBA integrations
  • Describe the Dashboard integration
  • Describe the Cross-launch integration