This Ansible integration allows users to execute Ansible playbooks and run other Ansible modules or commands directly from the Stonebranch Universal Automation Center (UAC). Key Features: Manage Ansible task execution through the intuitive Universal Controller user interface. Ansible playbooks can either be centrally stored and maintained in the Universal Controller script library, or Universal Controller can call the relevant playbook residing in the Ansible host. This integration also enables the execution of other Ansible commands.

This integration allows users to create an AWS EC2 instance with parameters, either in task form or by simply creating an EC2 instance from the existing AWS launch template. This task also offers the option to install a Linux/Unix Universal Agent in the newly provisioned EC2 instance. Key Features: The task interacts with the AWS platform via a Python Boto3 module. All AWS credentials remain encrypted. Users can also install/configure a Linux Universal Agent for each EC2 instance, enabling the Universal Controller to communicate with the newly created instance instantly.  This task also lets users create multiple EC2 instances with the same configuration. New instances can also be tagged. It allows customers to create a new key pair or use an existing one for the new EC2 instance. This task also enables options for additional EBS volume and encryption, as well as detailed monitoring. Additional Info:Only Linux Universal Agent is supported at the moment.

This integration allows users to spin up, terminate, and manage AWS EC2 instances on demand simply by providing one or more instance IDs as input.  Key Features: This task uses Python Boto3 to interact with the AWS platform using the credentials supplied within the task. It supports multiple EC2 instances at once. This task goes to the success state in Universal Controller until the EC2 instance is completely spun up or terminated. Scheduling this task using Universal Controller workflow spins up and tears down EC2 instances based on the business needs, complete with the correct setup and dependencies.  It dynamically manages EC2 operations, offering the potential to reduce EC2 operations costs in the cloud. 

Amazon Elastic Container Service (AWS ECS) is a fully managed container orchestration service that simplifies the deployment, management, and scaling of containerized applications. ECS allows you to run and scale Docker containers on AWS infrastructure without needing to manage the underlying hardware or software, making it easier to build, deploy, and operate containerized applications. It integrates seamlessly with other AWS services, supports both serverless (AWS Fargate) and server-based (EC2) compute options, and provides robust security, networking, and monitoring capabilities.In Amazon Elastic Container Service (AWS ECS), an ECS task is a running instance of a task definition. Tasks use case is ideal for one-time or short-lived jobs. For example:Batch Jobs: Suitable for batch processing, data transformations, and other workloads that complete after a certain period. Task Scheduling: Useful for scheduled tasks, such as cron jobs, where you need to run a task at specific intervals.Manual Execution: Good for tasks that you want to run on-demand or manually trigger through an event or user action. This integration provides the capability to run ECS Tasks allowing the above use-cases to be fulfilled through UAC, where UAC has the role of an orchestrator. Key FeaturesRun AWS ECS Tasks.Stop AWS ECS Tasks.Capability to run and stop tasks with custom configurations and environment variables.Capability to run with proxies.

This integration allows users to utilize Azure Virtual Machine (VM) name, resource group, subscription ID, and access token as inputs to a start, stop, terminate, list, and check the status of Azure VMs. Key Features: Uses a Python request module to interact with the Azure cloud platform.  Expands user ability to start/stop/terminate/check/list Azure VMs that belong to a subscription and resource group. In the Stonebranch Universal Controller (UC), this task reaches and stays in the success state until the Azure instance is completely started, stopped, or terminated.  Scheduling this task in UC with the right dependencies set up would start and stop EC2 instances based on business needs using a UC workflow.  This task helps to dynamically manage VM operations. It could potentially reduce the Azure VM running cost in the cloud.  Important: This integration uses Azure Oauth 2.0 access token for Azure API authentication. Users may need to use the UC web services task to refresh the access token periodically.

Terraform is an infrastructure as code tool that lets you define cloud and on-prem resources in human-readable configuration files that you can version, reuse, and share. You can then use a consistent workflow to provision and manage your infrastructure throughout its lifecycle. This integration allows users to create tasks that execute terraform commands. Typically, it can be used for Use Cases where UAC acts as an orchestrator for resource provisioning, and Terraform needs to be used to provide those resources.    Key Features: This Universal Extension provides the following key features: Init Terraform (Supports upgrade option) Plan Terraform (Supports Refresh-only planning mode) Apply Terraform Destroy Terraform   What's New v 1.0.1 This new release gives the capability to pass UAC credentials from the template into the terraform variable file and to be used in the terraform execution.

This integration improves the functionality of Jenkins when orchestrated from the Stonebranch Universal Automation Center. It encourages collaboration by enabling the well-controlled and automated deployment of applications over to the operations side. Key Features: UAC communicates with Jenkins through the Python Jenkins module. Jenkins can make REST API calls to the Stonebranch Universal Controller (UC) to trigger any task or workflow. This task can trigger or start an existing build job in Jenkins. The UC will monitor the build execution in Jenkins until completion, then send the build results to the UC. With this task, users can create a building job in Jenkins from the UC. Any Jenkins build job definitions in XML will be stored centrally in the UC. It offers the functionality to fetch the Jenkins job build information and list running build info in Jenkins from UC. Enable/disable Jenkins jobs and nodes and delete/copy/rename Jenkins jobs from UC. When users list the installed plugins in Jenkins, a plugin install can be triggered from the UC. Set the next build info for Jenkins to build jobs. 

The Stonebranch Jobs-as-Code (JaC) Universal Extension automates task and workflow delivery pipelines in which the job configuration is managed as code. This approach allows developers to create and manage job configurations using DevOps methodologies — complete with version control, testing, and continuous integration. The extension is configurable, allowing end-users to create jobs-as-code using the integrated development environment (IDE) of choice.The extension integrates with an external version control system (Gitlab, Github, or Bit Bucket), which stores the corresponding job definitions.Integrating with existing delivery pipelines, jobs can be stored on the external git repository and/or imported.Universal Automation Center (UAC) job definitions may be created through the Universal Controller (UC) user interface or as code in a development environment. Key Features:Query UAC definitions based on a variety of selection criteria. This feature can be used as a dry-run before exporting or importing to/from a Git repository.Export selected UAC Definitions to a Git Repository. After the export, this repository can be used as a backup or as a basis for developer collaboration on top of a source version control system.Import back to Universal Controller, UAC Definitions stored already in a Git repository. For UC version 7.3, or higher, the import feature can be triggered by using webhooks. GitLab/GitHub/BitBucket providers are supported.Total count of the selected/exported/imported UAC definitions.Detailed table representation of the exported/imported UAC definitions. What's New v2.0.4Fixed:Getting workflow names through dynamic choice command taking too long.

This integration helps end-users to orchestrate VMware vCenter Server operations from the Universal Controller. It encourages collaboration by enabling automated deployment and management of Virtual machines on the EXSi hosts connected to the vCenter Server. The VMware vSphere is the virtualization platform that helps with transforming datacenters into aggregated computing infrastructure. The main components of vSphere includes ESXi and vCenter server. With this integration, the users can perform operations like list, create, delete, start, stop, suspend, resume Virtual machines, and list, create, and delete Hosts and Datacenters. Key Features: UAC communicates with VMware vCenter through the vSphere Python SDK libraries. Helps with automated deployment and management of virtual machine lifecycle. Helps with automated management of Datacenters in the vCenter server. Helps with automated management of Hosts in the vCenter server.