Announcing the Workload Automation Publication
Get a mainframe perspective on multi-platform workload automation in this new publication
Whether you’re shopping, learning, communicating, planning, or working, chances are you’re utilizing digital services. Often, you’re not aware of it; even the act of physically going to a store and using your credit card for a purchase involves engaging with a digital network.
Digital transformation has become deeply embedded in nearly every facet of our daily lives. For IT staff tasked with meeting SLAs and ensuring the availability of business applications, this reality introduces fresh challenges. One of these challenges is managing workload processing across an increasingly diverse network of mainframes and distributed systems, residing on-premises and across hybrid cloud environments.
Managing Workloads in Hybrid Environments
Successfully orchestrating and managing business service workloads in such an environment can be challenging, to say the least. One key element of success lies in automating repetitive tasks within mission-critical workload processing. But to do this, you must be sure that all enterprise security standards are not compromised, automated tasks adhere to audit compliance protocols, and an end-to-end recovery process is maintained.
Schedulers offering workload automation are available on every platform. At Broadcom, our flagship schedulers for the mainframe are included in the ESP Workload Automation Intelligence and CA 7 Workload Automation Intelligence solutions. But there must be a point of integration across all schedulers in your hybrid cloud environment–one that can support the automation of multi-platform business processes. There is a wide range of products on the market built to manage workload automation across a diverse set of workload schedulers. At Broadcom, we offer Automation Analytics & Analysis (AAI), but you will find many other vendors offering their own products.
Filling the Visibility Gap
End-to-end visibility across the hybrid environment is critical for multi-platform automation, but achieving complete end-to-end visibility can be difficult, particularly when mainframes are part of the process. This isn’t at all due to mainframes themselves; rather, it happens because distributed workload automation tools are often developed by experts who are well-versed in distributed systems, but not in connecting to and coordinating with mainframe workload schedulers.
The technology is there; it only takes a little education to fill this visibility gap! That’s why we created this publication: to present articles that offer a mainframe perspective on multi-platform workload automation, along with a range of tips and techniques for enhancing mainframe involvement in end-to-end automation strategies.
As we embark on this journey, our first series of posts will delve into three major trends in workload management and automation:
- Hybrid: Managing Workload in a Hybrid IT Environment
Using agents to enable workload teams to connect mainframe native schedulers to SaaS applications without the need for custom scripting. - Shift-Left: Empowering Developers to Address Their Requirements
Expediting the development process by facilitating self-service of scheduling tasks. - Observability: Utilizing Predictive Analytics and Modern UIs for Enterprise SLA Management
Supplying data to the tools that utilize analytics to make informed end-to-end workload automation decisions.
Transparency remains paramount and, once again, open APIs emerge as a critical component.
Let’s Get this Journey Started!
If you want to get right into the details of a specific topic of interest, this publication is for you. If you prefer a more guided path, Mike Kiehl’s Innovations in the Broadcom Workload Automation Portfolio delivers a broad overview that will guide you to more detailed posts on the topics that have been covered here.
