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What is Pega Predictive Diagnostic Cloud and how it can help you

Suggest edit Updated on January 19, 2022

Pega Predictive Diagnostic Cloud (PDC) is a diagnostic, monitoring, and engagement tool for applications based on Pega Platform™. PDC monitors your applications at run-time and gathers performance, quality, and diagnostic data for Pega Platform components. Through a web-based portal, PDC provides the aggregated data, identifies areas that need improvement, and provides you with the top issues to address.

PDC provides a holistic view into the inner workings of your applications built on Pega Platform. With PDC, you can design your system in an optimal way, reducing problems and improving key features to create applications that reap the following benefits:

  • Use fewer resources
  • Are less prone to failures
  • Improve customer satisfaction

With this detailed insight, you can:

  • Investigate, assess, and deal effectively with unexpected or unwanted system behavior
  • Promptly identify and resolve issues with your applications
  • Optimize features of your applications
  • Maximize performance of your applications
  • Continously improve all applications that you build in Pega Platform.

Learn more about PDC through the following articles:

Onboarding for PDC

1 Fundamentals of PDC
   1.1 How PDC manages monitoring data
   1.2 What data PDC collects
   1.3 How PDC ensures data privacy
   1.4 Who should use PDC
   1.5 How to start using PDC
   1.6 Licensing and support

2 Event Viewer in PDC
   2.1 System Events in PDC
   2.2 Analyzing events

Notifications in PDC

Cases in PDC

Improvement Plan

Integrations with project management tools

7 Tools for monitoring system resources
   7.1 Background processing
   7.2 Database statistics
   7.3 Nodes monitoring
   7.4 Elasticsearch data
   7.5 JVM Monitoring

8 Changes Summary

9 Update Assessment

10 Usage statistics for your systems

Tags

Pega Predictive Diagnostic Cloud System Administrator System Architect User Experience Designer Front-End Developer System Administration
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