Operations Bridge Analytics (OBA) Business AdministrationOBABAMFOpenTextMF-OBABA23.4<p>On completion of this course, participants should be able to:</p>
<ul>
<li>Describe the OBA architecture.</li><li>Summarize what OBA is and how it can improve the business value.</li><li>Describe the various features and functionalities available with OBA.</li><li>Understand how to collect metrics logs and events.</li><li>Use OBA to effectively identify the root cause of issues.</li><li>Describe how OBA integrates with OBM</li><li>Describe how to use the out of the box dashboards and how to create custom dashboards.</li><li>Describe how to use analytics features like anomaly detection, correlation and prediction.</li><li>Learn how to build your own queries using AQL and XQL.</li></ul><p>To be successful in this course, you should have the following prerequisites or knowledge:</p>
<ul>
<li>IT operations principles and practices</li><li>Industry-standard operating systems</li><li>Network basics</li></ul><p>SMEs, Business analyzers, Operations staff, Operations managers, and Availability engineers.</p><ul>
<li>Course Overview</li><li>Operations Bridge Analytics Overview</li><li>OBA Architecture</li><li>Configure Collections</li><li>Configure Collections – Log Streaming</li><li>Dashboards and Topology Manager</li><li>PQL and Tagging</li><li>Search</li><li>AQL</li><li>Metrics Analytics</li><li>Alerts</li><li>Anomaly Detection</li><li>Optic integration</li><li>Anomaly Detection Configurator</li><li>OPTIC Data Lake Source Type Configurator</li><li>OBA-OBM Integration</li></ul><h5>Module 1: Course Overview</h5><ul>
<li>Describe the lab environment.</li><li>Describe how to connect.</li><li>Describe the lab environment operation:</li><li>Using mRemoteNG</li><li>In-lab file transfers</li><li>Perform the verification of the lab machines.</li><li>Perform the verification of product availability – per-product.</li></ul><h5>Module 2: Operations Bridge Analytics Overview</h5><ul>
<li>Define OBA.</li><li>Describe the OBA components.</li><li>Describe the OBA use cases.</li></ul><h5>Module 3: OBA Architecture</h5><ul>
<li>Describe the OBA architecture.</li><li>Describe the OBA deployments.</li><li>Describe the OBA integrations.</li><li>Describe the support matrix, sizing, and data benchmark.</li></ul><h5>Module 4: Configure Collections</h5><ul>
<li>Describe the concept and terminology behind a collection.</li><li>Outline the different kind of data sources for Operation Analytics.</li><li>Define the architecture and components of the Collection Manager.</li><li>Navigate the Collection Manger UI.</li><li>Configure APM collectors.</li><li>Verify existing collections</li></ul><h5>Module 5: Configure Collections – Log Streaming</h5><ul>
<li>Describe the concepts and terminology behind a log collection.</li><li>Configure the OA Log Collector.</li></ul><h5>Module 6: Dashboards and Topology Manager</h5><ul>
<li>Explain the purpose of dashboards.</li><li>Describe how to manage a dashboard (new, copy, edit, share, and delete).</li><li>Get familiar with the Operation Analytics console main features.</li><li>Work with the Topology Manager.</li></ul><h5>Module 7: PQL and Tagging</h5><ul>
<li>Describe how Search works in Big Data (OBA Style).</li><li>Describe how PQL and Guided Search work.</li><li>Provide a general overview of search capabilities.</li><li>Explain how PQL works with:</li><li>Tags</li><li>Keys</li><li>Keywords</li><li>Advanced Configuration</li><li>Describe how the PQL and Log Search work.</li></ul><h5>Module 8: Search</h5><ul>
<li>Describe the common search features.</li><li>The Search UI</li><li>Text Search</li><li>Significance tab</li><li>XQL syntax</li><li>Describe the message overtime chart.</li><li>Fields</li><li>Message details</li><li>Message actions</li><li>Describe the Log and Events pane.</li></ul><h5>Module 9: AQL</h5><ul>
<li>Explain what AQL is and its role in data analysis.</li><li>Write clear and concise queries using the correct syntax and structure of AQL.</li><li>Explore and master AQL functions and expressions to manipulate data with precision.</li><li>Use AQL visualizations to transform data into compelling and informative visuals.</li></ul><h5>Module 10: Metrics Analytics</h5><ul>
<li>Explain predictive analysis and its role in data exploration.</li><li>Use predictions generated through analysis for informed decision making.</li><li>Recognize different themes and patterns within predictions.</li><li>Troubleshoot potential problems that might arise during the predictive analysis process.</li><li>Explain the concept of correlation between metrics and its significance in data analysis.</li><li>Use the correlation between metrics to gain valuable insights.</li><li>Explore the underlying principles that govern metric correlations.</li><li>Discover practical applications of metric correlation across various scenarios.</li></ul><h5>Module 11: Alerts</h5><ul>
<li>Master the Alert Wizard to efficiently create alerts.</li><li>Perform administrator tasks associated with alerts.</li><li>Navigate and use the Alert Manager for effective monitoring.</li><li>Interpret valuable information presented on the Alert Dashboard.</li><li>Explain the processes running "behind the scenes" for alerts.</li><li>Explore forwarding alerts to OBM for wider notification.</li></ul><h5>Module 12: Anomaly Detection</h5><ul>
<li>Define an anomaly.</li><li>Define breach detection and score.</li><li>Explain the anomaly detection workflow.</li><li>Explain the anomaly sensitivity settings.</li><li>Configure OBA default anomaly settings.</li><li>Configure keywords in OBA.</li><li>Use the anomaly dashboard to search for and investigate anomalies.</li></ul><h5>Module 13: Optic integration</h5><ul>
<li>Set up the integration.</li><li>Set up the CLI integration.</li><li>Configure an OPTIC collection.</li><li>Create an OPTIC collection.</li><li>Deploy and OPTIC collection.</li><li>Remove an OPTIC collection.</li><li>Detect breaches.</li></ul><h5>Module 14: Anomaly Detection Configurator</h5><ul>
<li>Describe the anomaly detection flow.</li><li>Describe the five parameterization areas.</li><li>Describe how the opsa paco CLI works.</li><li>Describe how the Anomaly Detection Configurator UI works.</li><li>Describe the configurator access points.</li><li>Explain the landing page.</li><li>Create, update, and remove parameter configuration.</li></ul><h5>Module 15: OPTIC Data Lake Source Type Configurator</h5><ul>
<li>Describe the OBA source type configuration in OPTIC.</li><li>Describe the Configurator main page.</li><li>Create, update, and remove a collection.</li><li>Update collection metadata.</li></ul><h5>Module 16: OBA-OBM Integration</h5><ul>
<li>Describe OBM – OBA integrations</li><li>Describe the Dashboard integration</li><li>Describe the Cross-launch integration</li></ul>On completion of this course, participants should be able to:
- Describe the OBA architecture.
- Summarize what OBA is and how it can improve the business value.
- Describe the various features and functionalities available with OBA.
- Understand how to collect metrics logs and events.
- Use OBA to effectively identify the root cause of issues.
- Describe how OBA integrates with OBM
- Describe how to use the out of the box dashboards and how to create custom dashboards.
- Describe how to use analytics features like anomaly detection, correlation and prediction.
- Learn how to build your own queries using AQL and XQL.To be successful in this course, you should have the following prerequisites or knowledge:
- IT operations principles and practices
- Industry-standard operating systems
- Network basicsSMEs, Business analyzers, Operations staff, Operations managers, and Availability engineers.- Course Overview
- Operations Bridge Analytics Overview
- OBA Architecture
- Configure Collections
- Configure Collections – Log Streaming
- Dashboards and Topology Manager
- PQL and Tagging
- Search
- AQL
- Metrics Analytics
- Alerts
- Anomaly Detection
- Optic integration
- Anomaly Detection Configurator
- OPTIC Data Lake Source Type Configurator
- OBA-OBM IntegrationModule 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 integration4 Tage3200.00