Published Release Notes

Improved resiliency and observability of email infrastructure

Pega Platform now has several enhancements to improve the resiliency and observability of its email infrastructure. With the following enhancements, you can improve service quality and reduce maintenance costs:

• Pega Predictive Diagnostic Cloud alerts notify you of connection timeouts and help you troubleshoot more quickly.
• Default values for email settings ensure that your email configuration is optimal and follows best practices.
• Email listeners automatically retry test connectivity upon start-up if the connection fails or authentication fails.
• Improved logging provides meaningful messages and log categorization to support debugging.

For more information, see List of events and notifications in PDC.

Easier customer record management in Customer Profile Designer (early preview)

The new Customer Profile Designer module of Pega Customer Decision Hub™ makes it possible for marketing analysts and strategy designers to define the associated data for each customer context directly in the Pega Customer Decision Hub portal. It is also possible to define more complex associated data structures that use a custom data flow, or define associated data of different types, such as RDBMS and Cassandra, for the same customer context.

Customer Profile Designer is available in Pega Customer Decision Hub 8.6 version as an early preview version. The functionality will be further expanded in future releases.

For more information, see Manage customer records in Customer Profile Designer (8.6).

Text predictions simplify the configuration of text analytics for conversational channels

Enable text analytics for your conversational channels, such as email and chatbot, by configuring text predictions that manage the text models for your channels. This new type of prediction in Prediction Studio consolidates the AI for analyzing the messages in your conversational channels in one place and replaces the text analyzer rule in Dev Studio.

Through text predictions, you can efficiently configure the outcomes that you want to predict by analyzing the text in your channels:

• Topics (ticket booking, subscription cancellation, support request)
• Sentiments (positive, neutral, negative)
• Entities (people, organizations, airport codes)
• Languages

You can train and build the models that predict these outcomes through an intuitive process, and then monitor the outcomes through user-friendly charts.

For more information, see Predict customer needs and behaviors by using text predictions in your conversational channels.

Upgrade impact

Channels that you configured with text analyzers in the previous version of your system continue to work in the same manner after the upgrade to the current version. When you edit and save the configuration of an existing channel, the text analyzer rule is automatically upgraded to a text prediction. The associated text prediction is now an object where you can manage and monitor the text analytics for your channel. When you create a new channel in the upgraded system, the system automatically creates a text prediction for that channel.

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

1. Enable the asynchronous model building and reporting in text predictions through job schedulers that use the System Runtime Context (SRC) by adding your application to the SRC.
   For more information, see Automating the runtime context management of background processes.
2. Enable model building in text predictions by configuring background processing nodes.
   For more information, see Assigning decision management node types to Pega Platform nodes.

Deprecation of EAR deployments in Pega Platform 8.6

Starting with Pega Platform 8.6, EAR deployments of Pega Platform are deprecated. In the upcoming 8.7 release, EAR deployments will not be supported. The following rules that require EAR deployments will also be deprecated and no longer supported in Pega Platform 8.7:

• Connect EJB
• Connect JCA
• JCA Resource Adapter
• JMS MDB Listener
• Service EJB

With this deprecation, you can use the latest tools and keep your application up to date. 

Upgrade impact

In Pega Platform 8.6, you can still create rules that require EAR deployments and update existing rules. However, after an upgrade to Pega Platform 8.7, rules that require EAR deployments are no longer supported.

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

To prepare your application for this change well in advance of the Pega Platform 8.7 release, see the following table for a list of alternative rules and for guidance on modernizing your application.

For information on the supported platforms that are affected by this deprecation, see Pega Platform 8.6 Support Guide.

Kafka data set enhancements

The Kafka data set is a high-throughput and low-latency platform for handling real-time data feeds that you can use as input for Pega Platform event strategies.

For better integration of Pega Platform with externally hosted Kafka, the following enhancements are implemented:

• Support for Kafka message keys and headers - extended values data format (JSON Data Transform, Apache Avro)
• Custom value processing
• Configuring topic names by using Application Properties
• Data-Admin-Kafka enhancements - supporting a wide range of connection properties

For more information, see Improve your Kafka data set with new enhancements.

External data flow rules are removed

In previous versions of Pega Platform™, you could configure data flows to run in an external Hadoop environment. The external data flows functionality was deprecated and hidden from view in Pega Platform 8.5. The functionality has been now removed and is no longer available in Pega Platform 8.6.

For more information, see External data flow rules are deprecated.

Legacy Parse XML rule configurations must be upgraded to edit them

If your application has Parse XML rules that use the legacy configuration from Pega Platform™ 5.x, you cannot edit these rules after you upgrade to Pega Platform 8.6 until after you upgrade them to use tree-based parse rule configuration.

You must upgrade a Parse XML rule that you want to edit if it shows the following warning when you open it in Dev Studio.

This type of Parse XML rule is deprecated. An upgrade should be performed.

An option to upgrade also displays below the message.

Upgrade impact

Parse XML rules with the legacy configuration do not map data to the clipboard, and the rule definition is empty. After you upgrade to Pega Platform 8.6, you cannot edit Parse XML rules that you created in Pega Platform 5.x or earlier until you upgrade them to use tree-based parse rule configuration.

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

Update legacy Parse XML rules to use tree-based parse rule configuration before you edit them in Pega Platform 8.6. Using tree-based parse rules is considered a best practice.

1. Open the legacy Parse XML rule.
2. On the Mapping tab, click Upgrade.
   Result: The Allow tree editing? check box is displayed and is automatically selected. You can add attributes and elements to the tree structure, or delete them.
3. Save the upgraded rule configuration.

For more information, see Parse XML rules.

Connect MQ rules configured with alias queue do not work after upgrade

Connect MQ rules that you defined with an alias queue in earlier versions of Pega Platform do not work after an upgrade to Pega Platform 8.6.

Upgrade impact

If you defined an alias queue in Connect MQ rules, after an upgrade to Pega Platform 8.6, those Connect MQ rules do not work.

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

In the Pega-IntegrationEngine ruleset, create the following dynamic system settings and their default values:

• "mq/pmo" = 0
• "mq/gmo" = 0
• "mq/oo_request" = 1040
• "mq/oo_response" = 16

For more information, see Creating a dynamic system setting.

Naming pattern changed for file data sets

File data sets are used to import from and export data to a file repository. In case of data export, prior to version 8.6.3, the first file exported had the same file name that was provided by the user in the data set, and any subsequent file exported to the repository had a unique identifier appended to it. Starting in Pega Platform version 8.6.3, each file has a unique identifier, automatically generated based on the data flow node, thread ID, and timestamp.

Upgrade impact

If your process to consume output files expects files with a specific name, it may not be able to process the resulting files correctly.

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

If you have configured the process before updating to Pega Platform version 8.6.3, but the exported files are no longer recognized by downstream processing logic after the upgrade, ensure that the downstream tool is configured to recognize the files by a pattern rather than the full name. For example, when referring to files exported to the repository, use the * character to indicate a pattern instead of using the full file name. For example, use Export*.csv to refer to the files.

Facebook and YouTube data sets are deprecated

Pega Platform™ no longer supports the data set types in the Social category:

• Facebook data sets
• YouTube data sets

These features are deprecated and will be removed in future Pega Platform versions. Do not create any data sets using the Facebook or YouTube types.