Published Release Notes

Alerts for long-running queue processor and job scheduler activities

Pega Platform™ now saves an alert in the performance alert log when a queue processor activity or a scheduled job runs longer than the configured threshold value. Use the alerts to identify potential performance issues with long-running processes.

The alerts are enabled by default. You can change the alerts for dedicated queue processors and job schedulers at the rules level. For standard queue processors, you can also set the threshold value for the Queue-For-Processing command in an activity. You disable the alerts in dynamic system settings.

For more information, see:

• PEGA0117 alert: Long-running queue processor activity
• PEGA0118 alert: Long-running job scheduler activity

Usability improvements in the Email Manager and Case Manager portals

Pega Email Bot™ customer service representatives (CSRs) working in the Email Manager, Case Manager, or Case Worker portals can now quickly reply to one recipient or to all recipients. CSRs can also view the sentiment analysis of an email (positive, negative, or neutral) for each received email, displaying the sentiment pattern for the entire email thread in a triage case. The email bot improvements add value for CSRs working in the portals and help them save time when responding to user requests.

For more information, see Understanding the email triage process and Replying to customers by email for an email bot.

Enhancing your revision management process with Deployment Manager pipelines

Pega Platform 8.5 offers improved synergy between revision management and the automated deployment process provided by Pega's Deployment Manager 4.8 pipelines. Use Deployment Manager 4.8 to increase the efficiency of business-as-usual application changes and automatize the deployment of revision packages.

For more information, see Managing the business-as-usual changes.

Support for Cloud AutoML topic detection models

In Prediction Studio, you can now connect to topic detection models that you create in Cloud AutoML, Google's cloud-based machine learning service. You can then use the models to categorize and route messages from your customers.

For more information, see Broaden your selection of topic detection models by connecting to third-party services (8.5).

Default Create stage in a case life cycle

Pega Platform™ now adds a default Create stage to a case life cycle every time you create a new case type, both in App Studio and Dev Studio. The default Create stage includes a view that users interact with to provide initial data before case processing begins. Consequently, you can now easily locate the view to make any necessary changes. In the background, the Create stage makes a case type independent from the starting process, which removes relevant advanced configurations and makes application development faster.

For more information, see Capture initial data faster with the default Create stage (8.5), The Create stage.

Control group configuration for predictions

You can now configure a control group for your predictions in Prediction Studio. Based on the control group, Prediction Studio calculates a lift score for each prediction that you can later use to monitor the success rate of your predictions.

For more information, see Customizing predictions.

Response timeout configuration for predictions

You can now set a response timeout for your predictions in Prediction Studio. By setting a response timeout, you control how Prediction Studio registers customer responses that later serve as feedback data for your predictions.

For more information, see Customizing predictions.

External data flow rules are deprecated

External data flows are now deprecated and no longer supported. To improve your user experience with Pega Platform™, the user interface elements associated with these rules are hidden from view by default. Identifying unused features allows Pega to focus on developing and supporting the features that you need.

For more information, see Deprecated: External data flows.

Visual Business Director data is automatically cleaned after a retention period expires

To avoid negative impact on system resources, such as memory and disk space, Pega Platform™ automatically cleans out collections data accumulated in Visual Business Director after the time period specified in the vbd/dataRetentionTimeout dynamic system setting.

Upgrade impact

In versions of Pega Platform earlier than 8.5, collections data was not automatically removed. From version 8.5, the data is removed after 465 days (15 months) by default.

What steps are required to update the application to be compatible with this change?

If the default data retention period does not meet your requirements, you can change it by editing the vbd/dataRetentionTimeout setting.

For more information, see "Configuring the data retention period for Visual Business Director" in the Pega Customer Decision Hub 8.5 Upgrade Guide on the Pega Customer Decision Hub product page.

Introduction of Search and Reporting Service

Pega Platform™ now uses Search and Reporting Service, which is an independent microservice. The new enhancement provides a convenient way to manage your application data, and is easier to maintain. For example, because of the cloud-based architecture of Search and Reporting Service, any bug fixes and performance improvements occur seamlessly, and have no impact on your overall experience in Pega Platform.

For more information, see Search and Reporting overview.