VMs are Best Suited to Running Workloads

Explanation.

Virtual Machines (VMs) are virtualized computing environments that can run on a single physical machine or multiple machines, allowing for multiple operating systems and applications to run simultaneously. When it comes to workloads, VMs are best suited for certain types of applications and workloads.

A. Monolithic applications: Monolithic applications are large, complex, and tightly-coupled applications that are difficult to modify and scale. They are not well-suited for running on VMs because they require a large amount of resources and are not designed to run in a distributed environment.

B. Jobs that scale, but don't interact much: VMs are well-suited for running jobs that can be scaled up or down easily and don't require a lot of interaction between different components. For example, batch processing jobs like data analysis or rendering can be run on VMs.

C. Cloud Native applications: Cloud Native applications are designed to run on cloud platforms and take advantage of cloud infrastructure, such as auto-scaling and containerization. While VMs can be used to run Cloud Native applications, they are not the best choice because they do not provide the same level of agility and scalability as containers.

D. Microservices: Microservices are a type of Cloud Native architecture where applications are broken down into small, independent services that can be easily scaled and updated. VMs can be used to run microservices, but they are not the best choice because they require more resources than containers and are not as agile.

E. Cloud-based applications: Cloud-based applications are applications that are designed to run on cloud platforms, taking advantage of cloud infrastructure and services. While VMs can be used to run cloud-based applications, they are not the best choice because they do not provide the same level of agility and scalability as containers.

In summary, VMs are best suited for running jobs that can be easily scaled up or down and do not require a lot of interaction between different components. While VMs can be used to run other types of workloads, such as Cloud Native applications or microservices, they are not the best choice because they do not provide the same level of agility and scalability as containers.