The Amazon S3 Cloud Storage Bucket File Transfer integration allows you to securely automate file transfers from, to, and between Amazon S3 cloud storage buckets and third-party application folders.Storing data in the cloud becomes an integral part of most modern IT landscapes. With Universal Automation Center (UAC), you can securely automate your AWS tasks and integrate them into existing scheduling workflows. Key Features: Automate file transfers in real-time. Drag-and-drop as a task into any existing scheduling workflow within the UAC. File Transfers can be triggered by a third-party application using the UAC RESTfull web service API: REST API. The following file transfer commands are supported: Upload file(s) to an S3 bucket. Download file(s) from an S3 bucket. Transfer files between S3 buckets. List objects in an S3 bucket. Delete object(s) in an S3 bucket. List S3 bucket names. Create an S3 bucket.  Additional Info:Support for AWS S3 prefixes to simulate a folder structure and to improve performance while copying files.Security is ensured by using the HTTPS protocol with support for an optional proxy server.Supports AWS IAM Role-Based Access (RBCA).No Universal Agent needs to be installed on the AWS Cloud – the communication goes via HTTPS.AWS canned ACLs are supported, e.g., to grant full access to the bucket owner.What's New in V1.6.0Enhancements: This new release supports AWS S3 prefixes to simulate a folder structure and to improve performance while copying files.

Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. This Integration provides the capability to send an AWS SQS message towards an existing queue.   Key Features: This Universal Extension provides the following main features: Send a message towards a standard or a FIFO queue. Capability to control the transport of the messages by configuring the message Delay Seconds (for standard queues) and the message group ID and message deduplication ID (for FIFO queues).Capability to fetch dynamically Queue Names list from SQS for selection during task creation.Capability to be authorized via IAM Role-Based Access Control (RBAC) strategy.Capability for Proxy communication via HTTP/HTTPS protocol. What's New in v1.1.1Introduction of fixes to improve the robustness of this integration.

Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. This Universal Extension provides the capability to monitor AWS SQS messages from an existing queue and run Universal Task and/or workflows accordingly.Key FeaturesThis Universal Extension provides the following main features:ActionMonitor AWS SQS messages from a standard or a FIFO queue.Launch a task in Universal Controller with variables holding the id, body, attributes, message attributes and receipt handle for each fetched message.AuthenticationAWS Credentials.IAM Role-Based Access Control (RBAC) strategy.OtherCommunication through Proxy with use of HTTP or HTTPS.What's New V1.1.1 Introduction of fixes to improve the robustness of this integration.

AWS Batch is a set of batch management capabilities that enables developers, scientists, and engineers to quickly and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch integration provides the ability to submit new AWS Batch Jobs and read the status for an existing AWS Batch Job. Key Features:This Universal Extension provides the following key features:Support to submit a new Batch Job, with the option to Terminate Job after a timeout period. Support to submit a new Batch Job and wait until it reaches state "success" or "failed".Support to read Batch Job status for an existing Job ID. Support for authorization via IAM Role-Based Access Control (RBAC) strategy. Support for Proxy communication via HTTP/HTTPS protocol.What's New in V1.3.1Revert `certifi` as requirement.

The AWS Command Line Interface (AWS CLI) is an open source tool that enables you to interact with AWS services using commands in your command-line shell. With minimal configuration, the AWS CLI enables you to start running commands that implement functionality equivalent to that provided by the browser-based AWS Management Console from the command prompt in your terminal program. This integration provides an interface to call the AWS CLI and enables users to execute AWS CLI tasks in UAC.Key FeaturesThis Universal Extension provides the following key features.Execute AWS CLI on UAC.Ability to provide configuration options through UAC scripts.

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.

Amazon EMR (previously called Amazon Elastic MapReduce) is a managed cluster platform that simplifies running big data frameworks, such as Apache Hadoop and Apache Spark, on AWS to process and analyze vast amounts of data. This integration provides the ability the start and optionally monitor (by polling at specified intervals) notebook executions as supported by AWS EMR. Additionally the user can optionally specify various configuration options relating to the notebook execution.Key Features Actions: Start Notebook Execution: This action is used to start an AWS EMR notebook execution. The authentication is done by access and secret keys, optionally with Role Based Access. This action can be configured to either simply trigger the execution or trigger and wait until it completes successfully or fails.

AWS Glue is a serverless data-preparation service for extract, transform, and load (ETL) operations. It makes it easy for data engineers, data analysts, data scientists, and ETL developers to extract, clean, enrich, normalize, and load data. This Universal Extension provides the capability to submit a new AWS Glue Job. Key Features This Universal Extension provides the following key features: Actions Start a Glue job. Start a Glue job and wait until it reaches the state "success" or "failed." Authentication Authentication through HTTPS. Authentication through IAM Role-Based Access Control (RBAC) strategy. Input/Output Option to pass Input Arguments as UAC script supporting UAC environment variables and UAC Functions. Option to choose Worker Type. Other Support for Proxy communication via HTTP/HTTPS protocol. What's new v 2.1.0 Added new field - Endpoint URL. Proxy Type field has been removed (hidden) as it no longer needs to be filled by users on task definition.

AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources. You can use AWS Lambda to extend other AWS services with custom logic or create your own back-end services that operate at AWS scale, performance, and security. AWS Lambda can automatically run code in response to multiple events, such as HTTP requests via Amazon API Gateway, modifications to objects in Amazon S3 buckets, table updates in Amazon DynamoDB, and state transitions in AWS Step Functions. Key Features:This Universal Extension provides the following key features:Trigger Lambda function Synchronously or Asynchronously. Support authorization via IAM Role-Based Access Control (RBAC) strategy. Support default or on demand AWS Region. Support Proxy communication via HTTP/HTTPS protocol.What's New v1.2.0 Provide the capability to use a custom Lambda service endpoint.

AWS Mainframe Modernization service is an AWS cloud-native platform to migrate, modernize, execute, and operate mainframe applications within a fully-managed runtime. Stonebranch Universal Automation Center (UAC) works with AWS Mainframe Modernization to offer a high-availability, template-driven approach to shift existing mainframe batch schedules and event-based automation to re-platformed or refactored mainframe applications that run on AWS. Using the Stonebranch AWS Mainframe Modernization extension, enterprises may run automation in both the mainframe and on AWS simultaneously.  Key Features: The ability to schedule, automate and execute mainframe batch jobs running in AWS Mainframe Modernization Service via the Stonebranch Universal ControllerMonitor Application’s batch processes from the Stonebranch Universal ControllerStart/Restart/Rerun/Cancel batch processes automatically or manually from the Stonebranch Universal ControllerSynchronous and asynchronous batch execution from Stonebranch Universal ControllerRetrieve the results of the AWS Mainframe Modernization Batch processesCapture the AWS Cloudwatch logs of the executed jobs in Stonebranch Universal Controller More information: Article: Mainframe Modernization - How Automation Makes it PossibleTechnical Brief: Mainframe Modernization: Convert Mainframe-Centric Schedulers to a Modern Service Orchestration and Automation PlatformWhat's New In 1.4.0:  * BluAge support added* Log Fetching Methods updated

Step Functions is a serverless orchestration service that lets you combine AWS Lambda functions and other AWS services to build business-critical applications. Through Step Functions graphical console, you see your application’s workflow as a series of event-driven steps.This integration allows customers to execute AWS Step Functions from Universal Controller.Key FeaturesThis Universal Extension provides the following key features.ActionsExecute a AWS Step Function and wait until is reaches status "Success" or "Failed".Execute a AWS Step Function asynchronously without waiting for the execution to finish.AuthenticationAuthentication using AWS CredentialsAuthorization via IAM Role-Based Access Control (RBAC) strategy.OtherCommunication through Proxy with use of HTTP or HTTPS.Whats New V2.0.0Breaking Change: This version supports Universal Agent and Universal Controler from version 7.2 onwards. Customers that used older versions of this integration on Universal Controller and Universal Agent of versions <= 7.2 are required to upgrade to use the new functionality introduced by 2.0.0. Added: A suffix is added to the Execution Name before AWS Service is called. That suffix represents the execution count for a specific task instance, therefore providing uniqueness of the Execution Name. Fix: The Extension Output attribute “fields.invocation.execution_name” is corrected to represent the user input after the resolution of UC Functions and variables

This Universal Extension provides the capability to monitor data (files/directories) on various major Cloud Providers including AWS, Google Cloud, Microsoft Azure. This integration can be executed as a standalone UAC Task, however in order to benefit from the full functionality and scalability of UAC, it is suggested to be used in conjunction with Universal Monitor Triggers and Universal Monitor Tasks.Multiple storage systems are supported (an overview can be found here). Integrations within this solution package include:Amazon S3Google Cloud StorageMicrosoft OneDrive Business, including Sharepoint Microsoft Azure Blob Storage Hadoop Distributed File Storage (HDFS) Local file system (Linux, Windows) HTTP(S) URL Key Features:  This Universal Extension supports the following key features: Action Monitor objects creation Monitor objects change - change based on modification time Monitor objects deletion Options Trigger On Existence - available for Action Monitor On Create.  Advanced filtering capability for objects to be monitored. Universal Event Event published upon single object creation, holding information about the new object Event published upon single object change, holding information about the updated file, including the latest object size and modification time. Event published upon single object deletion, holding information about the deleted object. Event published upon single object existence, holding information about the object. What's New v1.0.1:Fixes:Fixed an issue where events were not published with the action Monitor On Create when Trigger on Existence was enabled.Fixed an issue with the appearance of some warnings at the beginning of the extension execution that happens on later versions of the Universal Controller.Fixed an issue when updating credentials.