What is a Workload?
A workload is the amount of computing resources and time it takes to complete a task or generate an outcome. Any application or program running on a computer can be considered a workload.
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?
In the private sector, filing income taxes online could be considered a workload, since the processing and computing takes place in a cloud environment. Enterprise-level workloads include Human Resources computing and processes and organization-wide CRM.
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.
What are Workload Accelerators?
The HPE PCIe Workload Accelerators are PCIe card-based, advanced storage devices that use solid state storage technology directly on the PCI bus, assuring high read and write data rates and accelerated application performance. The associated application performance improvements positively impact business results and the ability to accelerate IO-bound workloads like databases, virtualization, and data analytics, resulting in significant cost and time savings.
These PCIe card-based direct-attach solutions offer amazing performance with low latency and enterprise reliability.
HPE GreenLake to Support Any Workload
For enterprises looking for speed and agility in today’s digital-first world, the HPE GreenLake platform brings the cloud to your apps and data where they are so you can accelerate time to value, boost operational excellence, free up capital, and free up your talent for what’s next.
The fast, flexible compute infrastructure your business requires is delivered on a consumption pay-per-use basis, offering a range of workload- and cost-optimized configurations installed on premises and maintained for you by HPE experts. You pay only for the resources you consume, and built-in buffer capacity is ready to handle both steady growth and unexpected spikes in demand. Management is made easy with HPE GreenLake for Compute Ops Management, which automates and transforms complex and time-consuming compute management operations into a simplified experience across edge to cloud.
Additionally, HPE ProLiant servers include Workload Profiles as a feature of the HPE Intelligent Tuning System (IST), which allows organizations to tune resources by choosing workload profiles that automatically configure the BIOS settings to match the selected workload.