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APM200 Application Performance Management Essentials

Course Details
Code: APM200
Tuition (USD): $5,000.00 • Classroom (5 days)

This five-day solution-focused class offers an introduction to key Riverbed® application and network performance monitoring solutions.

Skills Gained

Students gain hands-on installation and configuration experience using the SteelCentral™ AppResponse appliance for end-user experience monitoring, SteelCentral Transaction Analyzer software to evaluate and predict application and network performance, and an overview of the SteelCentral AppInternals solution, which allows you to visualize internal server application processes.

Who Can Benefit

This course is specifically designed for Riverbed customers and resellers/partners involved in the design or deployment of Riverbed performance monitoring solutions.

Course Details

SteelCentral AppInternals

  • Architecture overview
  • Critical concepts
  • Desktop console user interface
  • SteelCentral Web Analyzer integration
  • J2EE and .NET terminology
  • Multi-tier application architecture
  • Cross-tier transaction tracing
  • Transaction trace analysis
  • Performance tuning & memory analysis
  • SteelCentral Portal (RPM
  • Dashboards) integration

SteelCentral AppResponse

  • Products and features
  • Using the desktop console
  • Configuration best practices
  • Application discovery and definition
  • Deployment planning & installation
  • Using tables & charts
  • AppResponse insights
  • Gathering baseline information
  • Report generation
  • Configuring alerts
  • System administration tasks
  • Define & export packet traces
  • Integration with SteelCentral
  • Transaction Analyzer

SteelCentral Transaction Analyzer

  • Workflow and methodologies
  • Capture and import strategies
  • Planning application deployments
  • Generating reports
  • Troubleshooting and predicting application & network performance
  • Understanding delay components
  • Understanding parallel effects
  • User think time
  • Troubleshooting and predicting the impact of TCP on application performance