Compute service solutions offer a wide breadth of services and features for you to virtually run any kind of workload. The optimal compute solution for a workload varies based on application design, usage patterns, and configuration settings. If you select the wrong compute service solution for an architecture, your organization is at risk for lower performance efficiency. With that in mind, the best place to begin is by choosing the right compute service solution that will be most suitable for your company.
Choosing the right compute service solution depends on your application requirements, lifecycle, code size, demand, and computing needs. To clarify, you may want to deploy a selection of on-demand instances offering a wide array of different performance benefits, or you may be interested in running docker-enabled applications packaged as containers, or you might want to run your own code using only milliseconds of compute resource in response to event-driven triggers in a serverless environment. Either way, make sure to evaluate which type of compute service your organization will benefit most from.
Once you have evaluated the available compute options, determine the required configuration by right-sizing. To optimize both performance and overall efficiency, decide which resources your workload needs. Choose memory-optimized instances for systems that require more memory than CPU, or compute-optimized instances for components that do data processing that is not memory-intensive. Right sizing enables your workload to perform as well as possible while only using the required resources.
Following your decision of which compute option is best for your organization, use a data-driven approach to optimize resources. Use the data gathered over time from your workload to tune and optimize your resources. Look at the trends in your workload's usage of current resources and determine where you can make changes to better match your workload's needs.
When you have figured out the above criteria, you can begin analyzing the different features provided by the compute service solutions you have narrowed it down to. Here are some useful things to look out for:
-
Granular control: You want to make sure you pick the right compute service tool for your workloads. Look for a solution that offers granular control for managing application infrastructure with a choice of different processors, storage, and networking, as well as the flexibility to run containers.
- Built-in security: Some solutions provide significantly more security, compliance, and governance services than others. It is important to make sure the solution you choose has built-in security in order to continuously monitor, protect, and verify instance hardware.
- Flexibility: When you are evaluating your different options, look for an easy-to-use service that provides multiple ways to build, deploy, and get applications to market quickly.
- Cost: As with any major purchase, it is best to consider the costs of each option, to make sure it fits within your company’s budget. Some solutions only require you to pay for the instance or resource you need, for as long as you use it, without requiring long-term contracts or complex licensing.
Find out what your peers are saying about Amazon Web Services (AWS), Apache, Spot - A Flexera company and others in Compute Service. Updated: January 2026.
Compute Service provides scalable computing resources to efficiently manage high-demand workloads. These services enable organizations to deploy, manage, and scale applications seamlessly.Compute Service leverages cloud technology to offer flexible computing power that adjusts based on an organization’s dynamic needs. It is designed to support high-performance applications and accommodate both small-scale and large-scale operations. Users have noted the efficiency in handling complex...
Compute service solutions offer a wide breadth of services and features for you to virtually run any kind of workload. The optimal compute solution for a workload varies based on application design, usage patterns, and configuration settings. If you select the wrong compute service solution for an architecture, your organization is at risk for lower performance efficiency. With that in mind, the best place to begin is by choosing the right compute service solution that will be most suitable for your company.
Choosing the right compute service solution depends on your application requirements, lifecycle, code size, demand, and computing needs. To clarify, you may want to deploy a selection of on-demand instances offering a wide array of different performance benefits, or you may be interested in running docker-enabled applications packaged as containers, or you might want to run your own code using only milliseconds of compute resource in response to event-driven triggers in a serverless environment. Either way, make sure to evaluate which type of compute service your organization will benefit most from.
Once you have evaluated the available compute options, determine the required configuration by right-sizing. To optimize both performance and overall efficiency, decide which resources your workload needs. Choose memory-optimized instances for systems that require more memory than CPU, or compute-optimized instances for components that do data processing that is not memory-intensive. Right sizing enables your workload to perform as well as possible while only using the required resources.
Following your decision of which compute option is best for your organization, use a data-driven approach to optimize resources. Use the data gathered over time from your workload to tune and optimize your resources. Look at the trends in your workload's usage of current resources and determine where you can make changes to better match your workload's needs.
When you have figured out the above criteria, you can begin analyzing the different features provided by the compute service solutions you have narrowed it down to. Here are some useful things to look out for:
-
Granular control: You want to make sure you pick the right compute service tool for your workloads. Look for a solution that offers granular control for managing application infrastructure with a choice of different processors, storage, and networking, as well as the flexibility to run containers.
- Built-in security: Some solutions provide significantly more security, compliance, and governance services than others. It is important to make sure the solution you choose has built-in security in order to continuously monitor, protect, and verify instance hardware.
- Flexibility: When you are evaluating your different options, look for an easy-to-use service that provides multiple ways to build, deploy, and get applications to market quickly.
- Cost: As with any major purchase, it is best to consider the costs of each option, to make sure it fits within your company’s budget. Some solutions only require you to pay for the instance or resource you need, for as long as you use it, without requiring long-term contracts or complex licensing.