Workload
What is a workload?
A workload refers to type and amount of processing that compute resources perform to complete tasks or generate outcomes. Any application or program running on a computer can be considered a workload, therefore, workloads can vary greatly depending on the type and number of tasks being executed. Watch the video to learn about accelerating workloads to increase efficiency and performance.
Workloads in cloud environments
As opposed to on-site workloads, cloud-based workloads are applications, services, computing, or capabilities running on cloud resources. Workloads in cloud environments give users a greater degree of agility and flexibility. When on-site servers reach the limit of internal resources, some or all of the workload can be transferred to or shared with the cloud for more computing power.
What are examples of workloads?
Two examples of workloads that use data processing, computations, network activity and storage operations are Customer Relationship Management (CRM) or Human Resources (HR) operations.
What is workload management?
Consider what it would be like to distribute work tasks across a team of employees, basing that distribution on each person’s experience, skills, strengths, efficiency, and availability. If these project tasks get completed efficiently and successfully, that would be considered great managerial skill. Similarly, workload management in computing is the process of allocating resources in compute environments to increase efficiency or reduce burden. Some processes can take place on-premises, while others are better suited to a cloud environment. A workload management solution would consider which tasks are CPU-intensive or memory-intensive, which ones involve static workloads, and which involve periodic or unpredictable workloads and allocate the appropriate amount and kind of resources to complete them.
What is workload automation? What is workload protection?
When workload management involves allocating a high number of resources to a high number of tasks, you might consider automating it. Workload automation is using software to schedule tasks or allocate resources. The benefit of workload automation is that it can free up employees from having to manage these tasks in a hands-on environment, or it can utilize the software’s processing power (or AI or machine learning) to best decide how and when to allocate resources more accurately and effectively than a human would be able. In many cases, that software is cloud-based, making workload protection, or keeping workloads free from threats as they travel between cloud environments, critical.
What are cloud-agnostic workloads?
Cloud workloads refer to those workloads that are transferred to the cloud for more computing power. What can be a problem, however, is when workloads are set up to run within any one vendor’s cloud platform. The goal of a cloud-agnostic platform would be that workloads can be routed to one cloud platform or another, based on available resources.
There are benefits and challenges to a cloud-agnostic platform. Workloads that are locked in to any one vendor can often take advantage of the full suite of that vendor’s features. Setting up an agnostic framework requires that some of the vendor ecosystem’s specialized features be unavailable.
However, a truly cloud-agnostic environment would allow IT professionals to use a single management interface to monitor any workloads, no matter where they are.
Accelerate workloads with HPE
HPE ProLiant compute products are designed with the flexibility and efficiency you need accelerate any workload from the data center to the edge. Discover how to speed time to value with new initiatives like AI, or modernize legacy infrastructure, with performance and efficiency that can give you a competitive advantage.