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New Desktop interface
See Desktop Overview for more information.
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You can now execute unit test scenarios on Global APL functions, and to perform basic Workflow tests, based on Python. The test reports are saved as JUnit XML file, and the test configurations can be exported and imported to other 
deployments.
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Unit tests in APL and Unit Test Runner
Two new Unit Test agents are available; Unit Test Configuration and Unit Test Runner. Together with the new Python Module configuration and Python Manager they can be used to create your own auto tests for APL code.
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MediationZone configuration can now be exported using the new Workflow Package format, which is a versioned, pre-compiled, self-contained, package (unlike the traditional system export format, which is moving configuration objects that must be compiled in the target environment).Since the configurations are self-contained, they will not affect configuration that is already present in the target environment. This new format improves configuration transport as it is faster, more robust, and enables atomic upgrades and rollbacks.This functionality replaces the older configuration spaces concept.
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Workflow Packages
See Workflow Packages. for more information
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The PICO type ECSA (Execution Context - Standalone) has been replaced with a generic EC (Execution Context) in 9.0. Standalone execution is instead controlled on a workflow level through the workflow properties (a real-time workflow can execute either in "Normal" mode, or "Standalone" mode) and the generic EC can run both Normal and Standalone workflows.
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A new JSON based export format has been added, improving compatibility with version control systems, and it is accessible from within the Desktop (i.e. it does not require command line access like the older vcexport format).
Exported JSON
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In addition to the MZ Tagged format, CSV and JSON are also available as built-in decoder formats, improving usability when working with common text-based formats.
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Built-in decoders
For more information, see Format Management Overview.
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The Security profile is a generic profile that you can use to create encryption configurations that can be used by various agents, e.g. the HTTP/2, Kafka, and Diameter agents. This profile enables centralized key management for improved security and ability to tie key management to environment.
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The Security profile
For more information, see Security Profile.
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Support for Java 8 is sunset and this version is built and runs on Java 17, which improves security, functionality, performance, and support.
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To avoid issues with data loss due to aborting real-time workflows or failure to write to disk, we have added transaction safety to Inter Workflow.
In the Real-Time Inter Workflow forwarding agent, there is now an option called Send response UDR which confirms whether writing to disk has succeeded or not.
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Inter Workflow forwarding agent
See Inter Workflow Forwarding Agent in a Real-Time Workflow for more information.
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It is now possible to move data between systems using Google Cloud Storage using two new agents: GCP Storage Collection and GCP Storage Forwarding.
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Cloud Storage Collection and Forwarding Agents
See GCP Agents for more information.
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Conditional Trace has been rewritten to track all UDRs in a workflow that match the applied filter criteria, for instance if all UDRs originating from a particular set of users need to be monitored as they flow through the system.
The new versions is designed to provide plug-and-play interoperability with Jaeger, a state-of-the-art trace logging system. This provides complete trace logs and a rich set of filtering and troubleshooting tools.
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See Conditional Trace for more information.
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With Azure KeyVault, your passwords and certificates are stored and maintained in a central location in Azure environments, which improves security.
To enable this we have extended the Security Profile to be able to use Azure KeyVault as a backend, supported for SAP RFC, and agents/feature using the Azure KeyVault profile (EventHub, ADLS2, APL getSecret).
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Azure KeyVault profile
See Azure KeyVault Profile for more information.
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To enable centralized user management and control, it is now possible to tie to a centralized identity provider. This enables users to log in using SSO, along with multi factor authentication flows.
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Login with SSO
For more information, see Single Sign On.
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Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more.
is now able to use insights derived by Azure Data Explorer, in the form of enrichment data. A new APL function to query Azure Data Explorer using Kusto Query Language has been added.
See Database Table Functions for more information.
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