Broadcom Software Academy Blog

Announcing the Availability of AWS Batch Integration for Automic Automation

Written by Jennifer Liharik | Feb 6, 2024 6:24:00 PM
Key Takeaways
  • Integrate Automic Automation with AWS Batch to establish end-to-end visibility and centralized control.
  • Employ Automic as a “manager of managers,” unifying automation across hybrid cloud environments.
  • Use Automic to automate data analytics workloads and schedule high-throughput screens.

What is the announcement?

We’ve released our AWS Batch integration for Automic Automation (Automic). It is added to many integrations for AWS from Automation by Broadcom which includes our Automic, AutoSys Workload Automation, and dSeries solutions.

What does the AWS Batch integration for Automic do?

AWS Batch is a compute service that plans, schedules, and runs your containerized batch or machine-learning workloads across the full range of AWS compute offerings. This integration allows you to easily automate data analytics workloads or schedule high-throughput screens using Automic. AWS Batch integrations are also available for other Automation by Broadcom solutions including AutoSys and dSeries.

You are instantly inheriting the advanced capabilities of your enterprise solution to deliver your digital transformation quicker and more successfully. Simply define your AWS Batch workloads and allow your enterprise workload automation solution to manage the scheduling of these workflows.

What are the challenges with workload automation from your cloud services provider?

While AWS may be a critical part of your cloud strategy, automating execution within AWS and outside of your enterprise workload automation solution creates an additional island of automation for IT Operations to manage.

Other challenges include:

  • Lack of business process visibility - With AWS automation tools, you won’t be able to see your full automated process including dependencies, or get insight on whether you are at risk of missing an SLA.
  • No advanced calendaring capabilities – AWS Batch doesn’t have built-in calendaring capabilities. Automic provides sophisticated calendaring capabilities, including every conceivable rule for scheduling activity when the business requires it.
  • Labor-intensive root cause analysis - If there is a delay or failure while a workstream is being processed, the workstream will have to be disabled and manually troubleshooted instead of relying on predictive analytics to find the issues before they occur.

What are the benefits of Automic for cloud workload processing?

With Automic, you get a “manager-of-managers” in a unified automation platform across the hybrid cloud environment with advanced workflow scheduling and orchestration capabilities. By integrating Automic with AWS Batch, you can get end-to-end visibility and regain centralized command and control with predictive analytics, smart alerting, advanced SLA management, reporting, and audit capabilities.

By extending your existing enterprise automation to AWS Batch you maintain end-to-end visibility and regain centralized command and control, alerting, SLA management, reporting, and auditing.

Where can I download the AWS Batch integration for Automic and get more information?

Broadcom’s Automation Marketplace makes it easy to browse and search for cloud integrations available for Automic and other Automation by Broadcom offerings like AutoSys and dSeries. It provides information on all Broadcom cloud integrations, including those for AWS like S3 and Azure, Kubernetes, Databricks, Google Cloud, SAP, and many more.

Automation by Broadcom continues to rapidly deliver cloud processing integrations to provide our customers with the workload automation capabilities they expect from their enterprise solution. Visit the Automation Marketplace to get access to integration details, technical documents, and software downloads for AWS Batch or other integrations.

Read the blog to learn more about all the AWS integrations for Automic and other Automation by Broadcom solutions like AutoSys and dSeries.