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Explore the new features in App Connect Enterprise 13.0.6.0

By Ben Thompson posted 12/18/25 05:53 AM

  
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We are very pleased to announce the delivery of IBM App Connect Enterprise 13.0.6.0 software.  We aim to provide regular quarterly mod releases for ACE 13 which contain both new features and regular maintenance.

  • IBM App Connect Enterprise 13.0.1.0 was released in September 2024 - more information here
  • IBM App Connect Enterprise 13.0.2.0 was released in December 2024 - more information here
  • IBM App Connect Enterprise 13.0.3.0 was released in March 2025 - more information here
  • IBM App Connect Enterprise 13.0.4.0 was released in June 2025 - more information here
  • IBM App Connect Enterprise 13.0.5.0 was released in September 2025 - more information here
  • IBM App Connect Enterprise 13.0.6.0 has just been released - more information below

This blog post summarizes all the latest and greatest capabilities which are made available in IBM App Connect Enterprise 13.0.6.0:

  • Designer - Import an Open API definition for the invocation of a REST API
  • Designer - Outbound REST request Auth Types include OAuth2.0
  • Designer - Using an HTTP Proxy when connecting to external applications
  • New Toolkit Request Nodes:  Apache Pulsar, AstraDB, Databricks
  • New Toolkit Input Nodes:  Apache Pulsar, AstraDB, Databricks, SAP SuccessFactors
  • New Retry capability for the Toolkit REST Request node
  • Improved usability for the Toolkit Policy Editor
  • Using State Persistence Policies with the Toolkit Scheduler node
  • Minor improvements to Installation Options
  • Activity Log tags for Open Telemetry trace information
  • New Log Analyzer tool for easier troubleshooting

Designer - Import an Open API definition for the invocation of a REST API

The Designer authoring tool has been enhanced in ACE 13.0.6.0 to provide for the import of Open API documents which describe third party REST API interfaces that you would like to invoke from a Designer flow. From the Connect section of the main menu (on the left side of the browser window), navigate to the Applications and APIs section, and a list of apps will be displayed (sorted into two groups depending on whether you have provided connection info yet). To the right of the search box, click the plus icon, as shown below:
In the resulting dialog you can browse your local filesystem for a suitable Open API definition:
On the Review properties page you can provide your own name for the API:
Having imported your API, you will then find it listed (alphabetically depending on the name you specified) in the list of available applications that you can connect to. Expanding the Open API in the list of applications will show the possible actions that it exposes:
Alongside the new Designer feature discussed in the previous section regarding the import of Open API documents that can be used when invoking an external REST API, ACE 13.0.6.0 also supports using the OAuth 2.0 authorization framework when  using outbound REST requests to communicate with external REST APIs.  OAuth 2.0 is an authorization framework that allows third-party applications to access protected resources on a user's behalf without needing to directly share the user's credentials. In the context of REST APIs, OAuth 2.0 enables secure access to resources by delegating authorization to an authorization server and then using access tokens granted by the authorization server to check what an application is allowed to do, instead of relying on passwords. 
The OAuth settings are exposed to a Designer flow developer after the Open API document which represents the external REST API has been imported. From within a message flow, the flow developer can scroll through the list of applications and select the API. In our previous example we called this MyApi and you can see in the screenshot below, that a developer then has an enumerated drop-down showing the various available Authorization types:

The Authorization type which you select from the enumerated drop-down will control the rest of the data fields that are presented to the flow developer:

Provide credentials for App Connect to use (BASIC):  The developer is prompted to provide Username and Password:

Provide credentials for App Connect to use (API KEY): The developer is prompted to provide API KEY values. The example shown below, resulted from the Open API document including four securitySchemes of type apiKey which were named FirstApiKey, SecondApiKey, ThirdApiKey and FourthApiKey:

Provide credentials for App Connect to use (BEARER TOKEN):  The developer is prompted to provide BEARER TOKEN values. The example shown below, resulted from the Open API document including two securitySchemes of type http and scheme bearer which were named Fred and George:

Provide a username, password and client credentials (OAUTH 2.0 PASSWORD): The developer is prompted to provide a Username, Password, Application client ID, Appliation client secret and the Client credentials location (either header or form):

Provide client credentials (OAUTH 2.0 CREDENTIALS): The developer is prompted to provide an Application client ID and Appliation client secret:

Provide credentials for App Connect to use (BASIC OAUTH):  The developer is prompted to provide an Application client ID, Appliation client secret, Access token and Refresh token

Designer - Using an HTTP Proxy when connecting to external applications

When deploying software on-premises, enterprises may choose to deploy an HTTP Proxy server between their internal users and applications, and their external connections to the internet. This can be useful for blocking access to specific websites, caching particularly popular web-pages so they can be provided to browsers faster and for security reasons such as filtering out malicious content.  ACE Toolkit message flows, deployed to an integration server, have historically catered for providing connections through an HTTP Proxy when using the HTTP Request node, REST Request node and more recently expanding to include the Salesforce Request node and other Discovery connectors.
With ACE 13.0.6.0 we have introduced a similar capability when making connections to third party applications from Designer message flows. This includes support at authoring time, and then also at runtime.  To use an HTTP Proxy connection from Designer, users should begin by navigating to theConnect section of the main menu (on the left side of the browser window) and select the HTTP proxies option.
This will display the HTTP proxy configuration page, where you can see a table view of previously created proxies, or create a new one by clicking the button to Create HTTP proxy. The resulting Define proxy dialog will prompt you for a Proxy name (to identify the proxy), the Proxy URL, Username and Password. Having created a proxy configuration, it can then be referenced when connecting to several applications. The currently supported set of application connections which can exploit an HTTP proxy connection (both in Toolkit and in Designer) is as follows: Amazon DynamoDB, Amazon EC2, Amazon EventBridge, Amazon Kinesis, Amazon RDS, Amazon S3, Amazon SNS, Amazon SQS, Astra DB, AWS Lambda, Confluence, Databricks, GitHub, Google Chat, Google Drive, Google Gemini, Google Sheets, IBM DB2, Microsoft Azure Blob Storage, Microsoft Azure Event Hubs, Microsoft Azure Service Bus, Microsoft Dynamics 365 for Finance and Operations, Microsoft Dynamics 365 for Sales, Microsoft Entra ID, Microsoft Exchange, Microsoft SharePoint, Microsoft Teams, SAP Ariba, ServiceNow, Shopify, Slack, Snowflake, Splunk, Workday
The Define proxy dialog is shown below:
Once you have one or more proxies defined, when connecting an application, you can select your desired proxy from the enumerated drop-down list as shown in the example below with the Salesforce connector:
Having filled out the mandatory connection fields and selected the Proxy name the Connect button becomes enabled:
Continuing our mission to expand the available Toolkit message flow nodes for easy connection to third party applications, this quarter ACE 13.0.6.0 has added three new Discovery Request Message Flow nodes:
  • Apache Pulsar Request node: Apache Pulsar is a cloud-native messaging and event streaming platform that supports high-throughput, low-latency, and real-time data processing. Use the Apache Pulsar Request node to connect to Apache Pulsar and issue requests to perform actions on objects such as publishing a message to a topic and retrieving messages from a subscription.
  • Astra DB Request node: Astra DB is a serverless, cloud-native database from DataStax (now an IBM company after it was acquired earlier this calendar year). It provides scalable storage, search, and vector capabilities to help you build AI and data-driven applications.  Use the Astra DB Request node to connect to Astra DB Request and issue requests to perform actions on objects such as Retrieve all collections and Create, Retrieve, Update or Delete documents. The Astra DB Request node operations are synchronous and non-transactional, which means that, if a message flow fails and rolls back after the Astra DB Request node, the operation on the data source will still complete.
  • Databricks Request node:  Databricks is a cloud-based platform for big data and AI. It combines Apache Spark with Azure services to simplify data engineering, analytics, and machine learning. It combines elements of data warehouses and data lakes to enable management and analysis of both structured and unstructured data. Use the Databricks Request node to connect to Databricks and issue requests to create, update, delete, or retrieve records in a table. The Databricks Request node operations are synchronous and non-transactional, which means that, if a message flow fails and rolls back after the Databricks Request node, the operation on the data source will still complete.

Each new type of connector also has a corresponding new policy type, which helps Toolkit users define configuration properties for easy connection to the applications. These policies also link to credential information that can be encrypted and stored in an ACE vault, enabling the ACE runtime to safely and securely connect to your applications. For example, here's a picture of the new Apache Pulsar policy type:

In ACE 13.0.6.0 we have added four new Discovery input nodes - one for each of the new applications mentioned in the previous section, and also a new SAP SuccessFactors Input node to go alongside the SAP SuccessFactors Request node which has been provided in prior ACE versions:
 
  • Apache Pulsar Input node: Apache Pulsar is a cloud-native messaging and event streaming platform that supports high-throughput, low-latency, and real-time data processing.  Use the Apache Pulsar Input node in a message flow to monitor and accept input from Apache Pulsar. For example, you can use the Apache Pulsar Input node to monitor Apache Pulsar for new messages. When a new message is created, the Apache Pulsar Input node generates a message tree that represents the business object with details of the new message.
  • Astra DB Input node: Astra DB is a serverless, cloud-native database from DataStax (now an IBM company after it was acquired earlier this calendar year). It provides scalable storage, search, and vector capabilities to help you build AI and data-driven applications.  Use the Astra DB Input node in a message flow to monitor and accept input from Astra DB. For example, you can use the Astra DB Input node to monitor Astra DB for new documents. When a new document is created, the Astra DB Input node generates a message tree that represents the business object with details of the new document.
  • Databricks Input node: Databricks is a cloud-based platform for big data and AI. It combines Apache Spark with Azure services to simplify data engineering, analytics, and machine learning. It combines elements of data warehouses and data lakes to enable management and analysis of both structured and unstructured data. Use the Databricks Input node in a message flow to monitor and accept input from Databricks. For example, you can use the Databricks Input node to monitor Databricks for new table events and accept input when the event occurs. When a new event is created, the Databricks Input node generates a message tree that represents the business object with details of the new event.
  • SAP SuccessFactors Input node: SAP SuccessFactors is cloud-based talent management and human capital management software. Organizations can manage many HR operations by using SAP SuccessFactors, including hiring, employee performance, HR analytics, payroll, and learning initiatives.  Use the SAP SuccessFactors Input node in a message flow to monitor and accept input from SAP SuccessFactors. For example, you can use the SAP SuccessFactors Input node to monitor SAP SuccessFactors for new candidates. When a new candidate is created, the SAP SuccessFactors Input node generates a event tree that represents the business object with details of the new candidate.
Earlier this year in ACE 13.0.3.0, we added capability to the Toolkit HTTPRequest node to provide for automatic retries in runtime situations where the invocation of an external service results in particular HTTP status codes or other socket errors being returned. A very similar capability has just been added to the REST Request node in this month's new ACE 13.0.6.0 mod release.  The REST Request node in ACE 13.0.6.0 includes the following properties on a new Retry properties tab:
  • Retry Mechanism: The new Retry mechanism property defaults to No retry which will maintain pre-existing behaviour of the HTTP Request node for all existing message flows that were created in earlier ACE releases. Alternatively if flow developers select Short retry then the following additional properties become editable.
  • Retry threshold: This defines the number of times that retries will be attempted, with each try separated by the short retry interval. Should all the retry attempts be exhausted without success, then the failure will be treated using the node's normal behaviour with the Failure terminal.
  • Short retry interval: This specifies the time interval in seconds between each retry.
  • Retry condition: This property stores a list of error conditions which cause retry to be attempted. The available error codes can be HTTP status code, literal POSIX error codes on Unix or Windows Sockets error code literals (eg ECONNREFUSED). A selection dialog is provided via the Edit Condition button to help you make your desired selections.

Improved usability for the Toolkit Policy Editor

ACE 13.0.6.0 includes some usability enhancements for the Toolkit which make it easier to work with policies. You may notice an improved look-and-feel whereby some policies now group together similar properties into twistie sections. For example, the MQEndpoint policy shown below has expandable twistie sections for Description, SSL and Reconnect properties:
Another example of the improved layout can be seen below with the REST Request policy type which has a table structure for the definition of security schemes:
Now that it is possible to add Version, Short Description and Long Description properties to a policy, you can include keywords within the description fields. These keywords can then be viewed in the Toolkit Properties panel, when a deployed policy is selected in the Integration Explorer view:
The same properties can also be displayed when using the mqsilist command to report on the deployed artifacts within an integration-node-owned integration server: 
The ACE Toolkit's Scheduler node is used to trigger a message flow to run at specified intervals of time, or at specified times on specified days. In ACE 13.0.6.0 the node's Advanced properties tab has been expanded to incorporate a new setting named Missed Event ModeWhen you configure a state persistence policy for the Scheduler node, the Missed Event Mode property becomes available.  You can use this property to specify how the Scheduler node handles events that were missed while the integration server was stopped or unavailable.  In general, message flow input nodes use the State Persistence policy to save their state, such as the last poll time, stream position, or last event time.  In this way, a State Persistence policy helps a message flow to be able to resume from the same point after a restart. State Persistence can be useful when the integration server stops unexpectedly or if it is restarted during processing.

The options provided by the Missed Event Mode enumerated dropdown and their meanings are:

  • None: Do not issue any missed events. The Scheduler node continues with the original schedule.
  • Reset: Issue one missed event immediately and start a new schedule from the current time.
  • Last: Issue one missed event and then resume the original schedule.
  • All: Issue all missed events and then resume the original schedule.

A good way to describe these settings is to consider an example. Imagine the Scheduler node has been configured to emit events (i.e. trigger the message flow) every two minutes. Imagine the flow starts at 10:20. Everything is working perfectly and as you might expect, the flow runs at 10:22, 10:24, 10:26, 10:28 and 10:30. At this stage the integration server is stopped and it remains stopped until it is restarted at 10:41 (so in total it has been stopped for 11 minutes, during which time 

For example, the Scheduler node is configured to emit an event every 2 minutes. The last event was emitted at 10:30. The integration server goes down and restarts at 10:41.

  • None: No missed events are emitted. The next event occurs at 10:42.
  • Reset: One event is emitted immediately at 10:40, and the next event occurs at 10:43 (based on the new schedule).
  • Last: One event is emitted immediately at 10:40, and the next event occurs at 10:42 (following the original schedule).
  • All: Missed events for 10:32, 10:34, 10:36, 10:38 and 10:40 are emitted immediately, then the next event occurs at 10:42 (following the original schedule).
On Windows platforms, the graphical installer for ACE 13.0.6.0 has an improved layout showing the optional (non-default) selection of components that can be made by users who do not want to install the full product:
If you prefer to install the product via a command line, then the equivalent commands for each of the main four radio buttons are shown in the table below.  For full details regarding how to install the product and all of the other options, check out the documentation here.
Runtime and Development components for installation Command line equivalent
  • Runtime (including discovery connector nodes)
  • Designer
  ACESetup13.0.n.0.exe -installToolkit yes -installElectronApp yes -installCloudConnectors yes
  • Runtime (including discovery connector nodes)
  • Designer
  ACESetup13.0.n.0.exe -installToolkit no -installElectronApp no -installCloudConnectors yes
  • Runtime (excluding discovery connector nodes)
  • Toolkit (excluding connector discovery and Open API editor)
  ACESetup13.0.n.0.exe -installToolkit yes -installElectronApp no -installCloudConnectors no
  • Runtime (excluding discovery connector nodes)
  ACESetup13.0.n.0.exe -installToolkit no -installElectronApp no -installCloudConnectors no

 

Activity Log tags for Open Telemetry trace information

OpenTelemetry is a Cloud Native Computing Foundation (CNCF) project that the CNCF accepted in May 2019 and then moved to the Incubating maturity level in August 2021. The adoption and popularity of the OpenTelemetry approach to observability has been gaining traction ever since. OpenTelemetry provides a vendor and tool agnostic framework for improving the observability of applications. Within the OpenTelemetry standards, ACE has a long track record of promoting the OpenTelemetry approach to tracing, which helps users to diagnose the elapsed time spent by a piece of data within different applications. ACE offers configuration for emitting trace events when interacting with the MQ nodes, HTTP nodes, REST nodes, SOAP nodes, Callable Flow nodes and Kafka nodes. A trace typically consists of many Spans, where a span typically represents the actions that occurred within a particular application and has information to make querying and debugging easier such as a name, a status, a span kind, and time-related data.
 
With this feature, when OpenTelemetry tracing is enabled for an ACE integration server, span-related details that are generated during message flow execution, are applied to Activity Log entries in the Tags section. The available OpenTelemetry tags include:
 
  • TRACE_ID
  • SPAN_ID
  • TRACE_STATE
  • TRACE_PARENT
These details are visible across all output modes of the activity log, including IBM App Connect Enterprise WebUI, and ibmjson format in console logs, and activity log file logging.  This enhancement simplifies correlating events between OpenTelemetry-based observability platforms and the IBM App Connect Enterprise logging system, therefore improving diagnostics and troubleshooting.
Consider the example of a simple message flow HTTP Input > Compute > HTTP Reply When this flow is invoked, Activity Log entries relating to the message flow are tagged (in the column of the table named Tags) as shown in the screenshot below:
This feature was actually first shipped in the ACE 13.0.5.1 maintenance release, and is the subject of a separate dedicated blog here.

New Log Analyser tool for easier troubleshooting

IBM App Connect Enterprise provides various logs to assist with problem determination and troubleshooting that each produce slightly different output file formats.  From ACE 13.0.6.0 a new Log Analyser tool is provided within the product installation which can perform post-processing on log files to . The tool supports the processing of the following types of logs:
  • Service trace or User Trace files
  • Activity Log files in csv format
  • Message Flow Accounting and Statistics files in csv format
  • Parser Manager Logs

You can launch the Log Analyser tool from an ACE Command Console using this command:

java -Xmx2000m -jar ./server/tools/aceloganalyser.jar

Having selected a Tool Functionality, Input Files and Output Directory, when you click the Process button, the Status window will be updated as shown below:
If you then click the hyperlink to Open Output File a static HTML report will be opened in your browser:
The table below documents the varous Tool Functionality options which are currently available:
Tool Functionality Description

traceAnalysis

Performs detailed trace analysis and generates an HTML summary report from ACE service or user trace files. Supports multiple trace files and consolidates diagnostic information into one structured report.

splitTraceThreads

Splits trace files into individual files per thread (based on thread information in the trace).

extractUserTrace

Extracts only UserTrace entries from service trace files.
extractSyslogAndErrorEntries Extracts Syslog and Error entries from trace files.
activityLogAnalysis Analyses Activity Log CSV files and generates a transaction summary report named FLOW_TRANSACTION_SUMMARY.txt. Also generates separate message-flow-specific summary files containing detailed transaction information, enabling isolation and analysis of flow-level performance and behavior.
splitAccountingAndStatsCSVFiles Splits combined Accounting/Statistics CSV files into individual files based on message flow name.
parserManagerAnalysis Analyzes ParserManager logs for memory and parser usage. Generates PARSER_MANAGER_REPORT.txt from the output of the command: mqsireportproperties BKR -e EGName -o ComIbmParserManager -r.

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Comments

12/23/25 08:19 AM

Any updates regarding WS-Security support with Java 17?

"IBM intends to provide App Connect Enterprise 13 support for the following features within integration servers using Java 17 by December 2025:

  • Global cache
  • WS-Security, WS-ReliableMessaging and WS-Trust"

12/19/25 08:05 AM

Well-structured and technically solid release overview.

ACE 13.0.6.0 adds meaningful value with OAuth2, OpenAPI import, new connectors, retries, and improved observability—strong focus on developer productivity and resilience.