Four Cloud Jobs You Can Easily Automate with WLA

The rise of cloud computing has led many organizations to expand their reliance on cloud services, platforms, and infrastructure. Gartner has reported that at the end of last year, 75 percent of organizations had deployed a multi-cloud or hybrid cloud model with ‘cloud computing firmly established as the new normal for enterprise IT.’ Similarly, Forrester indicates that 65 percent of North American companies now depend on public cloud platforms. Cloud adoption has become commonplace as more organizations than ever have gained confidence to leverage cloud within their infrastructure.

Whether private or public, hybrid or multi-cloud, the rise of cloud infrastructure has brought many new possibilities, including reduced IT costs from purchasing, managing, and maintaining infrastructure and hardware, greater scalability across the business, increased flexibility for accessing content and improved collaboration among users, and enhanced efficiencies by avoiding time-consuming software installations and upgrades.

The Importance of Cloud Orchestration

Increased reliance on the cloud has led to the need for greater levels of organization, management, connectedness, and automation of cloud resources—no matter where and how they are deployed. Specifically, the concept of Cloud Orchestration is now an essential element that organizations must leverage in hybrid and multi-cloud infrastructures. Cloud Orchestration (a.k.a. workload orchestration) means synchronizing or coordinating various automated cloud jobs into a seamless workflow to ensure IT and business processes are more streamlined and more efficient across the business.

Leveraging a leading workload automation (WLA) solution like JAMS, organizations can orchestrate cloud resources and ensure they extend smarter workload automation to public, private, and hybrid cloud infrastructure with the same high levels of service as more traditional on-premise automation. This helps your organization create a more nimble, multi-directional cloud automation strategy for your business.

So when it comes to orchestrating and automating your cloud, specifically on Microsoft Azure and Amazon AWS, it’s important to understand specific cloud jobs that can be automated to increase efficiencies and reduce the burden on IT—boosting productivity and efficiencies across your organization. This blog will examine four potential cloud jobs that you can automate using a WLA solution to help achieve greater cloud orchestration across your business.

#1: Automating Deployment of Azure VM Images or Instances of Amazon Elastic Compute Cloud (EC2)

As cloud infrastructure and services expand within your organization, one key cloud job that is important to automate is the deployment of VM Images, which contain the full definition of a virtual machine’s storage. As part of overall Cloud Orchestration, an effective WLA solution enables you to automate requirements for spinning up virtual machines as needed within Azure without relying on support from IT. Similarly, the ability to automate provisioning of Amazon EC2 instances enables you to easily scale up on-demand for increased compute capacity in your business.

#2: Automating Batch Processing and Lambda Functionality Concurrently on AWS

Being able to automate standard batch computing jobs through scripted processes, while also enabling the dynamic allocation of servers seems like a nearly impossible task. But with the right WLA solution, it’s possible to easily and efficiently run virtually unlimited batch computing jobs on AWS and also run the script allocating AWS Lambda functionality. According to Amazon, AWS Lambda allows organizations to ‘run code without provisioning or managing servers… then automatically and precisely allocates computing execution power’ to scale accordingly. Automating in a concurrent and bi-directional manner is not only possible with workload automation, but should be essential in your organization’s Cloud Orchestration efforts.

#3: Automating File Transfer Across Your Cloud Infrastructure

Eliminating manual processes for uploading, downloading, deleting, and transferring files whether to AWS Simple Cloud Storage (S3) or to Azure Blob storage is another key area of automation in your organization. File transfer functionality within a workload automation solution that calls upon native commands ensures your organization can easily manipulate files in the cloud without the need to write any additional scripts.

#4: Automating Microsoft Azure Pipelines

DevOps is all about efficiency and automation. So ensuring the continuous integration and continuous delivery (CI/CD) process goes smoothly in developing and delivering new software builds or releases requires a powerful scheduling engine. With the right workload automation solution, you can orchestrate and automate DevOps processes that enable you to kick off and start those builds in Azure Pipelines, ensuring the development pipeline is seamless and organized across your organization.

Why JAMS WLA Is the Ultimate Cloud Automation Solution

As organizations continue to expand their reliance on the cloud, they must also adopt the strategies and technologies that make it possible for automating, integrating and orchestrating their cloud infrastructure. JAMS is a centralized workload automation solution that runs, monitors, and manages cloud jobs and workflows, including those mentioned above, on any platform and across on-premise, hybrid cloud, and multi-cloud environments. This enables your organization to effectively support business processes and orchestrate your cloud infrastructure.

JAMS gives enterprises that leverage cloud computing a competitive advantage by unifying the delivery of workload automation. By centralizing cloud jobs with JAMS, IT teams can open an organization’s ability to access the most efficient resources for their business processes. JAMS eliminates the friction associated with workloads that cross into the cloud and presents businesses with a single control center to deploy and monitor critical processes.