Software-defined, virtualized computing environments and containerization are revolutionizing the way of infrastructure management among organizations worldwide. While it was only possible to scale performance and capacity through new hardware in the past, now, organizations have more flexibility in expanding their infrastructure with virtualization and containerization.
Virtualization and containerization differ in several ways. One of the most significant differences in the way containers power virtualization of operating systems to run multiple workloads under a single operating system instance. On the other hand, virtualization technology powers organizations to meet the ever-expanding computing requirements without the need for constant investments in new hardware.
Difference Between Virtualization and Containerization
While virtualization delivers a complete virtual machine, containerization is a specialized form of virtualization. Containers isolate applications in their own virtualized environments, however, rather than driving their own operating systems (OS), they share components of physical servers’ OS. Many containers that run on a single server use the same OS, keeping their application data isolated.
Containers are easier to manage compared to virtual machines, as every container is not driving its own OS. This makes impediments such as installing patches and fixing bugs much easier to resolve. On the other hand, it also implies that problems with one system can hamper multiple containers. However, containers are lightweight in nature. This makes them easier to move, which is much more difficult with virtual machines.
One of the key aspects that differentiate containerization from virtualization is the temporary behavior of containers. Several copies of any container can coexist in a system such as orchestration. If any container fails, it can be removed and replaced, without any impact or change in services. Older versions of the containers can coexist with newer versions.
In case any operation fails, it is easy to remove and replace the new versions as per requirements. There is a huge difference in the scalability of containerized workloads and virtual workloads. The containers comprise services that are radical in nature. However, these services can include a web server such as a virtualization workload system that is capable of predicting the requirement for scaling out containers based on traffic.
Which Is Better – Virtual Machines or Containers
Choosing between Virtual Machines and containers depends on the objective of organizations. Virtual machines empower existing tasks at hand for maintaining consistency in environments isolated with a layer of reflection. Also, this reflection enables separating servers into VMs, which can run distinctive working frameworks.
Container innovation gives an elective Virtualization strategy, wherein a solitary working framework can run a broad spectrum of users on the cloud. Another approach to choose from VMs and containers is based on the fact that VMs run distinctive working frameworks under a single process hub. On the other hand, containers offer the feasibility to virtualize working frameworks.
According to Gartner, over 75% of organizations worldwide will run containerized applications by the end of 2022. It also states that nearly 60% of organizations will deploy data virtualization as a key style of delivery in the data integration architecture. New computing abstractions have changed the way enterprises consume virtual machines. Technology leaders are leveraging this to align use cases with appropriate technologies and benefit from innovations.