Published Release Notes

X-Forwarded-Host field is optional for HTTP proxy servers

Prior to Pega^® Platform 7.3, the X-Forwarded-Proto and X-Forwarded-Host fields were both required to deploy Pega Platform instances behind an HTTP proxy server. Some proxy servers or load balancers (for example, Amazon ELB) do not support the X-Forwarded-Hostfield. Starting with Pega 7.3, only the X-Forwarded-Proto field is required. For more information, see Deployment behind a reverse proxy.

Pega Cloud Services support for the AWS Canada (Central) region

Pega Cloud Services now supports deployment to the Amazon Web Services (AWS) Canada (Central) region. Deployment across multiple availability zones within a geographical region protects against zone faults and localized service disruptions, and ensures high availability.

For more information about regions and availability zones, see Pega Cloud Services capabilities.

This additional region is available as of QIII 2017.

Unable to create text analytics models when Java 2 Security is enabled

Security exceptions that prevent you from creating text analytics models are caused by the Java 2 Security feature that is enabled at the JVM level. This feature denies access to the text analytics resources that are required for text parsing functions.

Creating a text analytics model results in a failure because of a number of security-related exceptions, for example:

java.security.AccessControlException: Access denied ("java.lang.RuntimePermission""createSecurityManager")

The suggested approach for avoiding this problem is to use the text analytics models that are provided by default, for example, pySentimentModels, pyTelecomTaxonomy, and so on.

For more information, see Text Analyzer.

Expose properties in Decision Data Store

You can now expose properties in Cassandra-based Decision Data Store data sets. With this solution, you can update single properties in extended customer analytic records (XCAR) without having to update the full customer record.

For more information, see XCAR in Decision Data Store.

Enhancements to bulk editing options for unversioned propositions

Bulk editing options for unversioned propositions have been enhanced to allow the use of Excel for editing. You can export and import unversioned propositions into Excel by using the Import wizard. Additionally, data types replace decision tables as the new storage format for unversioned propositions.

For more information, see Data type management and Proposition management enhancements.

Reuse existing propositions across applications

You can reuse existing propositions from built-on applications by using a new wizard to copy proposition groups across applications. This wizard gives you more options and flexibility when you define the business hierarchy in your application.

For more information, see Proposition management enhancements.

Requestor pools management in Designer Studio

On the new Requestor Pools landing page, you can view and manage requestor pools across the cluster, including on the current node and remote nodes. By using this landing page, you can tune the requestor pools to improve the performance of services. You can clear the requestor pool for a service package and view the requestor pool basic metrics and configured thresholds.

For more information, see Requestor pools management, Clearing a requestor pool, Viewing details for a requestor pool, Tuning a requestor pool configuration.

Migrate DDS data across various schema versions

You can use multiple versions of a single Decision Data Store (DDS) data set type in different applications that run on the same Pega^® Platform instance and efficiently move data across those versions even if the underlying data schema is different. This solution improves the data management process and simplifies the reuse of existing data.

For more information, see Decision Data Store migration.

Support for PMML version 4.3 in predictive models

You can now leverage predictive models in the Predictive Model Markup Language (PMML) version 4.3 by importing them into predictive models on Pega^® Platform. Pega Platform utilizes a large part of the PMML standard with the exception of some PMML 4.3 features that are not supported in the Predictive Model rule.

For more information, see Support for PMML version 4.3 in predictive models and Creating a predictive model.

Module version report generated from Designer Studio

From the new Class Management landing page, you can generate the module version report that provides information about classes in your system, module versions, and version creation dates. You can generate the report for all the nodes in the cluster or for a selected node that is either current or remote. The report is useful for debugging system problems because it helps identify the module version that is causing problems on a specific node.

For more information, see Module version report.