Workload deployment - determining where and how the workload runs - is an essential part of workload management. Examples of workloads organizations run on in-house servers include virtual machines, databases and business apps such as ERP and HR software.Ĭhoosing where to run workloads: Cloud vs. The emergence of cloud computing over the last decade has also driven the development of more workload types including software as a service (SaaS), microservices-based applications and serverless computing. Database workloads are extensively tuned and optimized to maximize the search performance for other applications that depend on the database - if the database performs poorly, that causes a bottleneck that reduces the performance of applications using the database. High-performance computing (HPC) workloads, frequently related to analytical workloads, perform significant computational work and, typically, demand a large amount of processor (CPU) and storage resources to accomplish demanding computational tasks within a limited timeframe, even in real time.ĭatabase workloads have evolved as a unique workload type, because almost every enterprise application relies on an underlying database as a dependency or a service within the enterprise infrastructure. This is the underlying notion behind more advanced programming such as big data and machine learning software technologies. For example, analytical workloads analyze enormous amounts of data, sometimes from varied and disassociated sources, to find trends, make predictions and drive adjustments to business operations and relationships. ![]() The dramatic diversification of software development has introduced countless other workload classifications. A third traditional workload type, real-time software, emphasizes high-throughput and low-latency performance to operate in sensitive real-world environments such as medical, military and industrial systems. Batch workloads exchange and process data on demand or as needed, such as monthly billing systems, and, typically, represent dynamic workloads. Transactional workloads exchange and process data on an ongoing basis such as order entry systems or banking/accounting systems and, often, exemplify static workloads. Examples include temporary instances spun up to test software or applications that perform end-of-month billing.Īs another example, classical (mainframe era) workloads were often categorized as transactional or batch workloads. A dynamic workload is ephemeral and loads and runs only when needed. A static workload is always on and running, such as an operating system (OS), email system, enterprise resource planning (ERP), customer relationship management (CRM) and many other applications central to a business's operations. As one example, workloads may be classified as static or dynamic. Workloads are created to perform myriad different tasks in a countless variety of ways, so it is difficult to classify all workloads into a single set of uniform criteria. Standardized metrics used to measure and report on an application's performance or load are collectively referred to as benchmarks. For example, a web server application might gauge load by the number of webpages the server delivers per second, while other applications might gauge load by the number of transactions accomplished per second with a specific number of concurrent network users. A heavy workload demands significant amounts of computing resources.Ī workload's tasks vary widely depending on the complexity and intended purpose of the application. A light workload accomplishes its intended tasks or performance goals using relatively little computing resources, such as processors, CPU (central processing unit) clock cycles, storage I/O (input/output) and so on. Broadly stated, an application's workload is related to the amount of time and computing resources required to perform a specific task or produce an output from inputs provided. Workload can also refer to the amount of work (or load) that software imposes on the underlying computing resources. ![]() ![]() Today, the terms workload, application, software and program are used interchangeably. ![]() A workload can be a simple alarm clock or contact app running on a smartphone, or a complex enterprise application hosted on one or more servers with thousands of client (user) systems connected and interacting with the application servers across a vast network. In computing, a workload, typically, is any program or application that runs on any computer.
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