In this post, we shall discuss the top 5 reasons for using Kubernetes. Please read on for more information.
IT cost optimization
One of the top reasons why enterprises should adopt Kubernetes is IT cost optimization. This container orchestration platform can help enterprises drastically reduce their IT infrastructure costs, especially if they have a large-scale operation.
One thing with Kubernetes is that it packages together applications optimally using hardware and cloud platforms, thus making a container-based architecture practicable. Before the development of Kubernetes, most over-cautious administrators over-provisioned their IT infrastructure to predictably deal with unexpected spikes, or because it was a big challenge to scale containerized applications manually.
However, Kubernetes tightly packs and schedules containers intelligently—and it takes into account all the available resources in the process. Besides, K8s automatically scales applications to meet business needs—this, in turn, frees up human resources and allows them to concentrate on other essential tasks.
Smooth migration to the cloud
Kubernetes has you covered, whether you are:
- Re-platforming – making basic changes to the way your apps operate
- Re-hosting – lifting and shifting your apps
- Re-factoring – modifying the entire application, as well as the services that support it to fit in the new containerization platform
Because Kubernetes runs consistently on all environments, on both on-premise and cloud platforms like Azure, AWS, and GCP, it offers a more prescriptive and seamless path to port an application from an on-premise to cloud environment.
Instead of dealing with all the complexities and variations of the cloud environment, you can follow a more arranged path:
- Migrate applications to Kubernetes on-site – your focus here is to re-platform your applications to containers, and then make sure they are under K8s orchestration.
- Shift to a cloud-based Kubernetes platform – here, you have numerous options—to operate Kubernetes natively or to choose a managed Kubernetes platform from a cloud vendor.
- Once you shift your application to the cloud, it’s time to optimize it to suit the cloud services and environment.
Kubernetes provides a new way of doing the same things
The enterprise Kubernetes platform kubeshpere is an amazing platform since it allows you to get out of your comfort zone without a lot of struggles. Yes—this sounds illogical, but that’s what happens. Previously, most system admins used data centers and virtual machines to implement application infrastructures. This also happens in Kubernetes—you define all the details of the network, the services happening on the virtual machines or containers, as well as the deployment process.
In simple words, you can do the same old things without the stress of physically fighting with deployments, networking, and other things. With K8s, you can handle your cluster as a server farm, but using configuration files.
You can reconstruct logical parallelism between your cluster components and servicer. However, you have pods and services, rather than virtual machines. This is the same case with storage and networking. This, in turn, gives you better control of components, but by using high-level tools.
Kubernetes provides the same solution for different problems
K8s allows developers to manage different projects the same way. This affects the set of skills you must develop in an organization. When working in an enterprise that manages a single product, everything is very easy. You only need to define the stack, learn it, and you are good to go.
But what happens if you have several projects at hand? Or, you work in an enterprise where every client has their unique needs? Kubernetes can help to maintain a standard layer across different projects.
Mostly, the standards come from the adoption of containers, which allows you to manage applications conceptually. While most of the merit goes to Docker, K8s provides a predefined solution to deploy the applications. In summary, Kubernetes provides a common way to handle every project. This, in turn, speeds up projects because developers don’t need to learn a new solution whenever they have a project.
Scalability and self-healing
K8s ensures the reliability of a system by scaling containers automatically depending on workload requirements. Besides, Kubernetes facilitates the self-healing of containers whenever things go out of line.
When containers fail if they stop responding to user-defined health checks, they are restarted. Besides, they are not advertised to clients until they are ready for use. The K8s Horizontal Pod AutoScaler (HPA) increases or decreases the number of application pods automatically, depending on custom metrics or observed CPU utilization.