Workloads in Cloud Computing: A Twist on an Old Concept

Workloads in Cloud Computing: A Twist on an Old Concept

The notion of a workload is central to Cloud Computing, but a clear definition of this fundamental concept is more elusive than you might think. Essentially, a workload is a discrete capability or amount of work you’d like to run on a Cloud instance. For example, serving up a Web site or running a Hadoop node are classic examples of workloads. So far so good — but there’s more to this story.

First, a workload is an abstraction that implies portability. Serving up a Web site is one thing, but specifying a particular version of WordPress running on a particular LAMP stack, containing a specific collection of pages and corresponding data, requiring a certain processor and RAM footprint may provide the deployer with the information they need to run the workload, but is too low-level a description to provide for portability from on-premise to Cloud, or from one Cloud to another. Instead, a workload would be an abstract description of the capability or amount of work that could conceivably run in different physical environments that have unique configurations suitable to the underlying resources in play.

Second, the notion that a workload is a single discrete capability or amount of work shortchanges many types of workloads that you may come across in a real-world context: namely, distributed application workloads. For example, your workload may consist of Java Server Pages running in a servlet engine on a Web server, some JavaBeans running on an application server, and a supporting database running on a database server. You can think of each of these three capabilities as separate workloads, but then a single application would potentially consist of a variety of different workloads, defeating much of the purpose of the workload abstraction.

The best way to think about a Cloud workload, therefore, is all the individual capabilities and units of work that make up a discrete application. Allowing distributed apps to be single workloads brings the workload discussion closer to the business. After all, the business doesn’t care about the various pieces that make up a distributed app. They just want the whole kit and caboodle to do what it’s supposed to do, whether it’s on premise or in one Cloud or another.

Share the Post:
XDR solutions

The Benefits of Using XDR Solutions

Cybercriminals constantly adapt their strategies, developing newer, more powerful, and intelligent ways to attack your network. Since security professionals must innovate as well, more conventional endpoint detection solutions have evolved

AI is revolutionizing fraud detection

How AI is Revolutionizing Fraud Detection

Artificial intelligence – commonly known as AI – means a form of technology with multiple uses. As a result, it has become extremely valuable to a number of businesses across

AI innovation

Companies Leading AI Innovation in 2023

Artificial intelligence (AI) has been transforming industries and revolutionizing business operations. AI’s potential to enhance efficiency and productivity has become crucial to many businesses. As we move into 2023, several

data fivetran pricing

Fivetran Pricing Explained

One of the biggest trends of the 21st century is the massive surge in analytics. Analytics is the process of utilizing data to drive future decision-making. With so much of

kubernetes logging

Kubernetes Logging: What You Need to Know

Kubernetes from Google is one of the most popular open-source and free container management solutions made to make managing and deploying applications easier. It has a solid architecture that makes

ransomware cyber attack

Why Is Ransomware Such a Major Threat?

One of the most significant cyber threats faced by modern organizations is a ransomware attack. Ransomware attacks have grown in both sophistication and frequency over the past few years, forcing

data dictionary

Tools You Need to Make a Data Dictionary

Data dictionaries are crucial for organizations of all sizes that deal with large amounts of data. they are centralized repositories of all the data in organizations, including metadata such as