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Analyze application performance with PDC

Pega Predictive Diagnostic Cloud (PDC) is a Software as a Service (SaaS) tool that runs on Pega Cloud® Services. PDC actively gathers, monitors, and analyzes real-time performance and health indicators from all active Pega Platform™ applications.

Pega Platform sends known and safe content to PDC by using only the clipboard parameter data that is required for analysis. The data is sent asynchronously to minimize any performance impact on the monitored Pega Platform implementation. Data with identifying information (for example, case data) is not sent due to privacy concerns, and PDC does not request information from the monitored application.

Pega Platform gathers the following data for PDC:

  • Alerts: Identifies the type of alert and the metadata captured in an interaction.
  • Parameter page: Describes the parameters from the current parameter page, including important contextual information about the functions that run in the monitored application. All remaining parameters are filtered out and excluded.
  • Database alerts: Details the database query, excluding business data values.
  • Exceptions: Contains some contextual data that is a subset of the fields sent for alerts.
  • Performance statistics: Includes statistics for average response time and unique user count. PDC uses these statistics to identify overall performance and performance trends for monitored applications.
  • Database indexes: Includes database index information. PDC uses database index information to generate recommendations to improve query performance.

PDC dashboards

PDC analyzes and aggregates the data generated from Pega Platform applications to produce trending dashboards. The trending dashboards provide a graphical representation of daily average response usage, interaction volume, and user sessions counts. The presentation of data in trend graphs helps to monitor, isolate and identify and anticipate issues by presenting behavior over time. PDC empowers business stakeholders and IT administrators to take preventative action by predicting potential system performance and business logic issues and providing remediation suggestions.

PDC analyzes and aggregates data from alerts, usage and resource state, and system health pulses to generate trend graphs, as shown in the following image.

Overview of PDC

PDC allows you to monitor several on-premise and cloud-based Pega Platform applications. Systems that run on Pega Cloud already have PDC integration, and Pega Cloud provides a URL from which you access PDC.

Note: For more information on accessing and using PDC, see Logging in to Pega Predictive Diagnostic Cloud.

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Issue identification and research with Pega Predictive Diagnostic Cloud

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Note: The following content, referenced from Pega Community, is included here to help you better achieve the module learning objectives.

Pega Predictive Diagnostic Cloud™ (PDC) helps you identify areas that you need to work on to improve your system's performance. Use Improvement Plan to view a summary of issues that affect the performance of your monitored system. Use Event Viewer to conduct an in-depth investigation.

The following articles guide you through common use cases for identifying issues in your system:

Resolving issues in your system with Pega Predictive Diagnostic Cloud

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Note: The following content, referenced from Pega Community, is included here to help you better achieve the module learning objectives.

Resolve common performance issues and find the root cause by using the Pega Predictive Diagnostic Cloud™ (PDC) problem-solving tools. With Event Viewer, you can access diagnostic data from all the nodes in your system.

To start resolving a performance or stability issue, consider the following actions:

  • In Improvement Plan, open a case, and then follow the recommended next steps.
  • In Event Viewer, view the log data from the past 14 days, and then analyze the issues that occurred during that time.

    For example, if you know when your system failed, you can verify the alerts and exceptions that were generated at that time. By analyzing these events, you can determine the problem that caused the selected system to fail.

  • To quickly find the root cause of an issue, organize diagnostic data with customizable sets of filters.

    For example, narrow the possible sources of diminished performance to a single user, node, or application.

For more information about event types in PDC, see Cases in Pega Predictive Diagnostic Cloud.

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Notifications in Pega Predictive Diagnostic Cloud

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Note: The following content, referenced from Pega Community, is included here to help you better achieve the module learning objectives.

Pega Predictive Diagnostic Cloud (PDC) provides numerous measurements of your system that you can receive as messages to help you address any issues that might occur. With these messages, called notifications, you can immediately react to important issues in your system or counteract potential stability problems.

To receive only the measurements that are relevant and useful for you, determine what data you need to receive on a regular basis and what information is useful only when you troubleshoot a specific issue. The type and frequency of notifications that can help you the most depend on your user role.

Notifications are available only for events that are important and require immediate attention or additional action.

PDC supports the following types of notifications:

  • Daily digest notifications
    Periodic summaries of issues that PDC detects in your system. These notifications focus on specific categories, for example, TOP 5 user impact events or TOP 5 reliability issues. You can configure PDC to send daily digests in any range from daily to weekly notifications. This type of notifications is most useful for manager roles for a general overview of your system health.
  • Event-based notifications
    Messages that PDC sends when a specific number of the same events occur during a certain timespan. You can configure the event threshold and the time interval for each notification. This type of notifications is most useful for operations team members who can use them to swiftly react to stability and performance issues.

You need to create separate notifications for each of your systems that PDC monitors.

Choosing daily digest notifications

As part of system governance, subscribers receive the following scheduled digests to keep them up to date about the status of a monitored system:

  • Improvement Plan: Details
    A complete Improvement Plan for the selected system, with cases divided into categories. For more information, see Pega Predictive Diagnostic Cloud Improvement Plan overview.
  • New items daily
    A list of new issues that have occurred in the last 24-hour.
  • TOP 5 reliability
    A report on up to the five most urgent issues that affect the reliability of your system. The report displays the amount of time the operators spent resolving requests and shows the percentage of time spent last week compared to the time spent this week.
  • TOP 5 user impact
    A report on up to the five most urgent issues that affect user experience. The report displays the amount of time the operators spent resolving requests and shows the percentage of time spent last week compared to the time spent this week.
  • Event summary
    A summary of events that recently occurred on the selected systems.
  • Cases summary
    A summary of the cases that PDC created for the selected systems. The report contains the total number of cases and the number of cases that PDC created in the last 24 hours.

Choosing event-based notifications

Tip: To view all events for which PDC can send notifications, see List of notifications available in PDC.

Each notification informs you about an issue in your system, such as unresponsive components, exceeded time thresholds, or low resources. PDC can detect hundreds of thousands of events, and you cannot react to each event individually. Therefore, subscribe only to notifications about the events that are most relevant to your system. Because every application uses different components in different ways, you choose notifications manually.

As a best practice, review the following notification types:

  1. Focus on the events that can affect the stability of your system. These events are marked as recommended.
  2. Check the list for events that require urgent attention and subscribe to the events that apply to your system. These events are marked as critical.
  3. Check the list for infrastructure events that help you to manage resources inside your system. These events are marked as infrastructure.
  4. Look at other notifications and subscribe to the types that are most relevant to your system.

After you use PDC for some time, you can revise the subscriptions to stay informed about the events that are most relevant to your system and application.

During subscription, operators can add more than one account to each notification.

By default, PDC sends notifications by email. However you can configure PDC to send individual notifications by SMS, notification API, or to ServiceNow.

For more information about configuring notifications, see Managing notifications in PDC.

Notification API

You can further customize how you receive notifications using the notification API feature in PDC. With the notification API, your system can receive notifications directly from the API.

To connect your system to the notification API, the system must support the OAuth protocol and be able to relay notifications to end users. During configuration, PDC generates the following authentication data:

  • Endpoint URLs for token authorization
  • Client ID
  • Client secret

You then use this data to access the API. For more information, see Subscribing to PDC notifications using a REST API.

 

Learn more about PDC through the following articles:

Onboarding for PDC

1 Fundamentals of PDC

2 Event Viewer in PDC

3 Notifications in PDC

4 Cases in PDC

5 Improvement Plan

Integrations with project management tools

 

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