Advanced Workloads

Managing increasingly high demands on IT resource

As organisations work hard to innovate and outpace competition in the digital era, the ability to create advanced workloads in cloud environments becomes all the more important.

From running simple utilities to complex, company-wide core applications, cloud workloads place increasingly high demands on IT resources.

What constitutes an advanced workload?

A workload refers to the amount of central processing unit (CPU) resource needed to run a task or application. Heavy workloads require high levels of resource, variable depending on the complexity and objective of the application.

Applications can place different demands on the business depending on the situation. For instance, a retailer’s web server may be required to run at optimal page deliveries per second in the evenings or weekends when most people are at home and browsing online. Other heavy workloads could be created as a result of a DevOps team from a fintech during regular office hours.

Managing workloads

Workloads and system performance are generally measured on benchmarks. These help IT to plan computing resource for the appropriate applications at the right time.

Classifying workloads as static or dynamic helps IT provision for what is running and when.

Examples of static workloads include functions such as operating systems, email platforms, CRM systems and other core business applications. Dynamic workloads on the other hand help IT to enable systems of spikes in usage that are not permanent. This could include extra usage of an accounting system during the tax return process or end of month invoicing.

Simplified workload management

Deploying workload management solutions enables organisations to continue to innovate to solve customer challenges, and to grow business further.

Managing distributed infrastructure outside of the traditional security perimeters is otherwise a challenge for IT teams. Advanced workload solutions enable effective planning across public, private, and hybrid clouds, as well as existing on-premises hardware.

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