Kubernetes helps you save costs by automating manual processes, provisioning containers into nodes, and using resources effectively. With Kubernetes clusters, apps can run with minimal downtime and excellent performance, thus requiring fewer support costs as well as lower server costs.
Kubernetes allows for the creation of container images, which consist of everything that an application needs to run. This is more efficient and faster than using virtual machines (VM). Using container images also allows businesses to test code early in the development processes, focus on singular features, and essentially improve efficiency.
With Kubernetes, workloads can easily exist on a single cloud or multi-cloud deployments. You can easily migrate on-premises infrastructure to hybrid deployments in the cloud, without losing performance or functions.
Containerizing your applications makes them more portable since they only contain the resources that an application needs.
Kubernetes also automates container deployment in the public cloud, on-premises machines, or onsite VMs. It also allows automatic up-scaling to deal with heavy loads or spikes and down-scaling when the need is over.
Since Kubernetes balances containerized workloads, scales clusters on a need basis, restarts or reschedules containers when nodes fail, and applies rolling updates to software without significant downtime, it is best suited for high-availability applications.
Since Kubernetes is community-led and fully open source, it has a wide ecosystem of people who provide a strong support system. The open-source nature also means that there is less chance of the technology being outdated, and any problem can always be solved by asking the right questions from the community.
