Identify the use cases for block storage from the following categories

(1) Transactional workloads

(2) Containers

(3) Virtual machines

Explanation

Because block storage is optimized for low-latency operations, it is a preferred storage choice for high-performance enterprise workloads and transactional, mission-critical, and I/O-intensive applications.

Transactional workloads

Organizations that process time-sensitive and mission-critical transactions store such workloads into a low-latency, high-capacity, and fault-tolerant database. Block storage allows developers to set up a robust, scalable, and highly efficient transactional database. Because each block is a self-contained unit, the database performs optimally, even when the stored data grows.  

Containers

Developers use block storage to store containerized applications on the cloud. Containers are software packages that contain the application and its resource files for deployment in any computing environment. Like containers, block storage is equally flexible, scalable, and efficient. With block storage, developers can migrate the containers seamlessly between servers, locations, and operating environments.  

Virtual machines

Block storage supports popular virtual machine (VM) hypervisors. Users can install the operating system, file system, and other computing resources on a block storage volume. They do so by formatting the block storage volume and turning it into a VM file system. So they can readily increase or decrease the virtual drive size and transfer the virtualized storage from one host to another.