Published Release Notes

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.

Deprecated support for Pega Platform deployments on embedded Cassandra

If you use Pega Platform™ decision management capabilities, Pega Platform uses Cassandra as the underlying storage system for the Decision Data Store (DDS), which manages the Cassandra cluster and stores decision management data in a Cassandra database. Future versions of Pega Platform will no longer support deployments on embedded Cassandra. In Pega Platform version 8.6, deployments using embedded Cassandra are deprecated but still work. To ensure future compatibility, do not create any new installations using embedded Cassandra.

For information about how to configure Pega Platform to access an external database, see Defining Pega Platform access to an external Cassandra database.

Virtual questions deprecated in 8.6

Following the improvements in Pega Intelligent Virtual Assistant (IVA), the creation of virtual questions is now deprecated and planned for removal. To avoid additional effort during updates to future releases, do not use deprecated features. For optimal application performance and efficient development of conversation processes, you now collect information from users by using the Ask a question smart shape.

For more information, see Adding a case type conversation process for a conversational channel and Asking a question in a case.

Agents not running after update of EAR-based deployment

If you update an EAR-file deployment and your update meets both of the following criteria, you must redeploy the prpc_*.ear file for your application server after you complete the update to avoid agent-related errors:

• Updating from Pega 7.1.7, Pega 7.1.8, or Pega 7.1.9
• Updating to Pega 7.1.10, 7.1.11, 7.2, or 7.2.1

If you do not redeploy the prpc_*.ear file, you will see the agent-related issues that are described in the support article Agents are not running.

For information about redeploying, see the Pega 7 Platform Update Guide for your target version of the Pega 7 Platform.

Semantic URLs in Pega Platform

URL addresses for Pega Platform™ applications and application resources now appear as clear, meaningful paths. This enhancement helps users understand the structure of the application that they are using, which makes navigation quicker and more intuitive.

Loading cues in Pega Platform

Pega Platform™ applications that rely on the Cosmos React framework now feature a visual placeholder for the page that is being loaded. The system displays an indicator when loading portals, cases, simple pages, and list pages. This update provides users with a visual cue that their request is being processed, which improves the user experience.

Text analytics on the Pega 7 Platform

The Pega 7 Platform offers users the capability to analyze units of text, extract quality information, and translate it into business intelligence. The text analytics functionality aims to determine the positive, negative, and neutral polarities (tone) of subjective sentences. It also provides mechanisms for categorizing units of text and classifying text elements into predefined categories. You can use it to analyze text-based content including news feeds, emails, and postings on social media streams, such as Facebook, Twitter, and YouTube.

For more information, see Introduction to text analytics on the Pega 7 Platform.

Deployment Manager on Pega Cloud Services

Pega Cloud Services introduces Deployment Manager support, a service that is automatically installed and configured in Pega Cloud environments running Pega Platform 7.4 and higher. Deployment Manager on Pega Cloud allows you to manage the deployment of your Pega Cloud applications through staging to production environments. For details see Deployment Manager 03.01.01.

Customized agent schedules for standard Pega Platform agents must be updated after Pega 7.2.2 to Pega Platform 7.3 upgrade

If you used node classification in Pega^® 7.2.2, when you upgrade to Pega 7.3, node type names are automatically changed to a new name when you start a node with a node type. Agent schedules for standard Pega Platform agents are deleted and re-created with the new node type name, but any customization that you made in Pega 7.2.2 is not saved. You must manually update the agent schedules for standard Pega Platform agents in Pega 7.3.

For more information, see Node types renamed after upgrade from Pega 7.2.2 to Pega Platform 7.3 and the appropriate Deployment Guide.

Verifying that a Pega 7 Platform instance is running

You can verify whether a Pega 7 Platform instance is up and running by entering this URL: http://<<hostName:port/contextName>>/PRRestService/monitor/pingservice/ping

The Pega 7 Platform Engine responds with HTTP Response Code 200 if the instance is available. The response contains JSON text in the format { "duration":"<time in milliseconds>" }. Any other response codes or timeout indicate that the instance is unavailable.