If Kubernetes is a car, it will be a sports car that leaves every other vehicle spitting out dust, including its very close rivals. Due to its growing popularity, it’s not a surprise that you frequently hear Docker vs Kubernetes when businesses talk about container orchestration solutions.
Contrary to popular belief, however, the phrase is somewhat misleading. This is because Docker is not a direct competitor of Kubernetes.
What’s the deal with Docker vs Kubernetes?
Containers and container platforms now offer more advantages than traditional virtualization because these eliminate the need for a guest operating system while performing isolation at the kernel level. This results in a more lightweight, fast and efficient container.
Applications can now be encapsulated in self-contained environments that come with several advantages such as quicker deployments.
In containerization, there needs to be a container platform and container orchestrator. Docker is the former, while Kubernetes is the latter.
Therefore, it’s not a matter of Docker vs Kubernetes but Docker and Kubernetes.
Here’s a good scenario to help you wrap your head around this critical relationship.
Say you have vanilla Dockers that are deployed manually and don’t require a centralized orchestration engine. They are deployed using the docker run command or with tools that support container creation, management, configuration and lifecycle. Take a look at kublr
With a fleet of servers for hundreds of containers, management and maintenance of these would be almost impossible and time-consuming when done manually. You will not only waste time but engineering team resources as well. This can also result in many errors.
This is where the container orchestration tools of Kubernetes come into play. These tools allow you to automatically react to failures, scale up and down, and run replicas using cloud resources that are available without the expensive cost of over-positioning operators.
Why does container orchestration matters?
This enables the efficient management of the life cycles of containers. In a large, dynamic environment, it eliminates the hassle and errors that arise from handling many tasks.
Using the appropriate software, tasks can be easily controlled and automated. These include:
- Provisioning and deployment of containers
- Allocation of resources between containers
- Movement of containers from one host to another
- Load balancing of service discovery between containers
- Configuration of an application based on its relation with the containers that run it
How does Kubernetes works?
It is an open-source orchestration tool that Google developed to manage containerized applications or micro-services across a cluster of nodes that are distributed.
It follows a client-server architecture, with the Kubernetes architecture diagram composed of a single master server that consists of several components, including a Kube-controller-manager, Kube-API server, an etcd storage, and a cloud-controller-manager.
Each node in the architecture is also composed of a kubelet and Kube-proxy.
Canary release on Kubernetes
Canary release is a technique that enables you to roll out new features or applications gradually until you are certain that it is 100% safe to push out all of the features to your user base. Kubernetes has the native resources to allow such deployment.
But there’s more to the story than just establishing a connection of one to another. To help you fully understand more about containerization and its related aspects, contact Kublr.