Cloud infrastructure has enabled enterprises to leverage from three essential aspects - organizational transformation, agility, and cost reduction. It offers flexibility to the users to scale up or down its computational resources, allows API access, and security isolation in line with their business requirements, without any hassle of managing physical servers.

Recently, OS virtualization has paved way for organizations to appropriately isolate applications running on the server. Cloud vendors are using containers as an alternative to the traditional OS virtualization as the technology allows the users to run various isolated arrangements on a single host. The technology, owing to its efficiency, is considered as the future of the cloud computing system.

Let's take a quick glance at how implementing container integration adds efficiency to cloud computing

Containers-as-a-service (CaaS) is an extension to the infrastructure-as-a-service (IaaS) geared towards efficiently running multiple applications on a single server. Containers are mainly an application centric approach for virtualizing the workloads in a more efficient way as compared to the conventional hypervisor technology.

Most of the progressive operating systems (OS), such as Windows and Linux, are made of two basic parts - user space and kernel space. The latter boots a machine, controls hardware, and schedules various tasks running a user space. The former, on the other hand, is a home to various services and applications. Different OS have different levels of functional and modularity splits between the kernel and user space, but conceptually their architectures are very similar.

In comparison to the hypervisors that run on virtual machines and makes-up both spaces, cloud containers virtualize only the user space. This significantly reduces the complexity and redundancy, which in turn, boosts performance and minimizes bloat. The popularity of this unlimited cloud storage solution is a direct outcome of the comprehension that hypervisor-based IaaS technology is an expensive option to host, plus it is capable of managing multiple applications.

A container-based virtualization administers following key facets of the hardware, which a database needs for better performance:

Memory: CaaS controls the memory space allocated to every container on a regular basis. This further controls other configurations, including the memory sliced for kernel memory, TCP buffers, and system performance when running out-of-memory.

Storage: The virtualization technique has suitable ways for controlling the I/O operations, which in turn, affects the amount of time used for accessing the local storage channels.

CPU: It also allows flexible allocation of the CPU time as well as the containers allocated to CPUs by determining the number of processors and cores a container is allowed to use, the fraction of CPU time a container can receive, and hard limits based on the proportion of processor time allocated to each container.

Network & Bandwidth: Container virtualization also allows for control on the number of non-TPC and TPC sockets, connections, and the number of network clients a container can parallely serve. It also affects the memory budgeted for the network buffers to ensure that users are given appropriate bandwidth based on the SLAs they are subscribed to.

To conclude, CaaS has become an important part of the cloud computing. Its evolution is pushing the cloud technology to greater levels of efficiency.