In the previous blog, we saw the practical reason why we would Kubernetes in the first place When compared with its competitors such as Docker Swarm, Docker Compose, Nomad and Openshift. Kubernetes surges ahead with its portable running options such as running on cloud, hybrid or even bare metals. Kubernetes is quite configurable, quite modular and comes with many pre-programmable commands such as auto-replacement, auto-replication and more.
Kubernetes has a very active community online and they also have an in-person convention called the KubeCon which is held every year. There is a massive support group who put out regular articles, blog posts, tutorials, this support is only going to increase as more and more platforms start accepting Kubernetes as their choice of container orchestration tool. Described below are some of the advantages of using Kubernetes over the competition.
Multiple operating systems
Kubernetes works very well with modern environments (such as CoreOS or Red Hat Atomic) which offer lightweight computing nodes that you don’t have to manage since they are managed for you.
Made from Experience and Error
Kubernetes was built on top of several years of experience from Google working on containers in production. It’s a little opinionated on how containers should work and behave, but if used correctly it can help you achieve fault-tolerant systems.
Simplified grouping tasks
Kubernetes uses labels which are key-value pairs that are attached to objects, usually pods. They are used to specify the characteristics of an object like the version, tier, etc. Labels are used to identify objects or groups of objects according to different characteristics that they may have, for example, they can be used to identify all the pods that are included in the backend tier. Through labels, it’s easier to do grouping tasks for pods or containers, like moving pods to different groups or assigning them to load-balanced groups.
Easy for beginners
Kubernetes great for beginners who are just starting to work on clustering. It’s probably the quickest and easiest way to start experimenting and learning cluster oriented development.
Almost everything in Kubernetes is designed to handle if parts of it fail or if your service crashed for whatever reason. So it’s particularly adapted if you’ve a cluster (even a very small one).
Supported on several PaaS
Kubernetes is currently supported by Google Compute Engine, Rackspace, Microsoft Azure, and vSphere. Work is being done to support Kubernetes on OpenShift and CloudFoundry.
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