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Configure the App

What You Will Learn

After finishing this guide you will know which configurations can be made and which effect they have on the Workflow Executor App.

How to Configure the App

This window is used for editing all global settings of the Workflow Executor app.

Configuration Optionen Konfig
All changes made will be temporary and have to be submitted by clicking ‚Accept‘
Settings related to the engine should only be changed by more experienced users.

  • ‚Number of threads to run the engine‘: Defines how many cores the java process is allowed to use at max for the execution of the engine (max is 99).

  • ‚Time after which the engine queries whether it is still in the PAUSE state‘: When pausing a workflow, the engine will remain in the PAUSE-State. After that, the engine will repeatedly fetch for updates after the given polling time (which can be edited in ms here) was awaited.

  • ‚Activate expert mode‘: Whether the lite, or the expert mode should be used.

  • ‚Standard Workspace-Path‘: Used to edit the default location for new workspaces to be created in. Changing this will not transfer existing workspaces to that location! The default directory is: „C:\Users_USER_\.pak\workspaces“.
    Clicking the button next to the input field allows a selection of the standard workspace-path via a folder chooser.

  • ‚Do a data flow analysis before starting the engine?‘: The Workflow Executor also has the ability to run a Dataflow Analysis on new .bpmn files. When unchecking this, the engine will not run a Dataflow Analysis, but fail when the given .bpmn is corrupt.

  • ‚Enable editing of optional values after the Workflow is opened‘: Whether optional values can be edited after a Workflow is opened.

When changing settings, they will be adapted for every new installation of the Workflow Executor

  • ‚Automatic deletion of the Workflows‘: Used to edit the automatic deletion behaviour for previously ran Workflows. Possible options are:

    • ‚Never‘: Never delete previous Workflows

    • ‚At Restart‘: Delete previous Workflows on app restart

    • ‚After .. Days‘: Delete previous Workflows after the specified amount of days

  • ‚Fetch available adapters before creating new credentials‘: Whether there should be a search for available Connector Credentials before creating new Credentials in this dialog.

  • ‚Show deprecated Commands?‘: When selected, the single Command runner also shows all deprecated commands

  • ‚Activate full logging?‘: When selected, the app will provide more extensive logging in the log-files. However, as this option can blow-up the log file size by a lot, it’s reset at app restart

  • ‚Show text annotations in Bpmn?‘: When selected, text annotations that were set in the PAK-Editor will also be shown in the bpmn-viewer of the app

  • ‚Move the application to the foreground when any Human Task is encountered‘: When selected, the app will put in front of other running applications when an Human Task is encountered.

Sonatype Nexus

PAK features connectors and commands for Sonatype Nexus. This means the software can directly interact with Nexus repositories for storing and managing artifacts. Through these connectors, PAK can automate tasks like uploading binaries or retrieving dependencies, ensuring efficient artifact management within Nexus.

Jenkins

PAK has connectors and commands for Jenkins. This allows the software to directly communicate with Jenkins servers, enabling the automation of CI/CD (Continuous Integration/Continuous Deployment) tasks. Through these connectors, PAK can trigger builds, fetch build statuses, or manage job configurations, streamlining the CI/CD processes within Jenkins.

Git Hub

PAK possesses connectors and commands for GitHub. This means the software can interface directly with GitHub repositories, facilitating actions like code pushes, pull requests, or issue tracking. Through these connectors, PAK can automate various GitHub operations, enhancing code collaboration and repository management.

Atlassian Confluence

PAK is equipped with connectors and commands for Atlassian Confluence. This enables the software to directly interact with Confluence spaces and pages. Through these connectors, PAK can automate actions such as creating, updating, or retrieving documentation, ensuring efficient content management and collaboration within Confluence.

Codebeamer

PAK features connectors and commands for Codebeamer. This allows the software to seamlessly integrate with Codebeamer’s ALM (Application Lifecycle Management) platform. Through these connectors, PAK can automate tasks like issue tracking, test management, or requirements tracing, enhancing the coordination and management of software development processes.

JFrog Artifactory

PAK has connectors and commands for JFrog Artifactory. This means the software can directly interface with Artifactory repositories, enabling actions like artifact storage, retrieval, and management. Through these connectors, PAK can automate tasks such as deploying artifacts or managing repository configurations, streamlining the integration and management of binary artifacts within Artifactory.

Amazon Web Services (AWS)

PAK has connectors and commands for Amazon Web Services (AWS). This means the software possesses specialized interfaces to directly interact with AWS services and execute actions on the AWS platform. Through these connectors, PAK can automate AWS-specific commands, such as launching EC2 instances, managing S3 buckets, or configuring Lambda functions. This allows for efficient integration, management, and automation of AWS resources and services directly from PAK.

Atlassian Jira

PAK features integration tools and capabilities for Atlassian Jira. These tools allow for a direct connection to Jira and the execution of specific actions. Using these integration tools, PAK can automate Jira actions such as adding comments or changing ticket priorities, ensuring seamless handling and coordination of Jira processes.

Git

PAK has connectors and commands for Git. This means it has interfaces to directly communicate with Git and execute actions. Through these connectors, the software can automate Git commands such as retrieving changes or creating branches, enabling efficient integration and management of Git tasks.

Generic Human Tasks

PAK offers you a standard set of commands which require creative input from the user. Enables you to start with automating your workflows, that still need abit of human input.

Generic Commands

PAK offers a standard set of commands giving you the first steps to automate your workflows.

Nexus Maven Command Pool

Nexus is an artifact repository manager for storing binaries, libraries, and artifacts, supporting formats like Maven. Maven, a software project management tool, is based on the Project Object Model (POM) and allows developers to consistently define projects and dependencies. Our Command Pool offers commands for interactions between Maven and Nexus, such as artifact uploads or dependency retrieval.

Artifactory Maven Command Pool

Artifactory allows developers to store, retrieve, and manage binary files and artifacts, providing a
central source for all binaries used in a development process. Apache Maven is a software project
management and comprehension tool that enables developers to consistently describe a project and
its dependencies. Our Command Pool offers a collection of commands used to facilitate interactions
between Maven and Artifactory, such as uploading artifacts or retrieving dependencies.

Open API Command Interpreter

The OpenApi Command Interpreter allows you the automatic parsing of commands from an OpenApi defintion. No additional code needs to be written anymore, just add the address to the definition and our framework does the rest!

Kotlin Command Interpreter

The Kotlin Command Interpreter allows you the parsing and execution of commands within a Kotlin environment to automate various tasks or processes.

Bpmn Interpreter

Workflows come in many shapes and forms. The BPMN (Business Process Model and Notation) Interpreter enables the parsing of worklows defined in the BPMN format into the PAK intern model.

Human Task Interpreter

The Human Task Interpreter allows you the parsing and running of commands within a HTML and Javascript environment. Use this to build commands which need the creative input of a workflow user!

Java Command Interpreter

The Java Command Interpreter allows you the parsing and execution of commands within a Java
environment to automate various tasks or processes.

Core

The heart of the PAK-Framework. Contains the means to run workflows with the PAK engine, but also the possibility to enrich the frameworks interfaces with your own implementations and solutions.

RocksDB Persistence

Data that is generated by a workflow run needs to be saved for short or longer terms. Our solution to the Persistence Interface of the PAK-Framework is to use the high-performance, key-value based RocksDB developed by Facebook.

PAK online

PAK Online is a web based application and provides an Open API based REST API. It enables you to upload workflows and run them periodically or on REST demand.

Command Line App

Run tasks and workflows on the console or as part of a CI/CD Pipeline with our Command Line Interface.

Workflow Editor

With our specially developed editor, a wide variety of workflows can be easily modeled in the wide known BPMN process format.

Workflow Executor

The Workflow Executor is the application to run your workflows. It features a multilingual UI and easy managment of your favorite workflows.

Support

We offer a community website where you can exchange ideas and support each other. For our Pro packages we also offer full support via email.