Kubernetes vs Docker

Kubernetes vs Docker

Get Hands-on experience on Kubernetes and the best comparison of Kubernetes over the DevOps at your place at Kubernetes training

What is Kubernetes? Kubernetes (also known as K8s) is a production-grade container orchestration system. It is an open source cluster management system initially developed by three Google employees during the summer of 2014 and grew exponentially and became the first project to get donated to the Cloud Native Computing Foundation(CNCF).

It is basically an open source toolkit for building a fault-tolerant, scalable platform designed to automate and centrally manage containerized applications. With Kubernetes you can manage your containerized application more efficiently. kubernetes online course for more skills and techniques.

Kubernetes is a HUGE project with a lot of code and functionalities. The primary responsibility of Kubernetes is container orchestration. That means making sure that all the containers that execute various workloads are scheduled to run physical or virtual machines. The containers must be packed efficiently following the constraints of the deployment environment and the cluster configuration. In addition, Kubernetes must keep an eye on all running containers and replace dead, unresponsive, or otherwise unhealthy containers.

Kubernetes uses Docker to run images and manage containers. Nevertheless, K8s can use other engines, for example, rkt from the CoreOS. The platform itself can be deployed within almost any infrastructure – in the local network, server cluster, data center, any kind of cloud – public (Google Cloud, Microsoft Azure, AWS, etc.), private, hybrid, or even over the combination of these methods. It is noteworthy that Kubernetes supports the automatic placement and replication of containers over a large number of hosts. It brings a number of features and which can be thought of as:

  • As a container platform
  • As a microservices platform
  • As a portable cloud platform and a lot more.

Kubernetes considers most of the operational needs for application containers. The top 10 reasons why Kubernetes is so popular are as follow:

  • Largest Open Source project in the world
  • Great Community Support
  • Robust Container deployment
  • Effective Persistent storage
  • Multi-Cloud Support(Hybrid Cloud)
  • Container health monitoring
  • Compute resource management
  • Auto-scaling Feature Support
  • Real-world Use cases Available
  • High availability by cluster federation

Below is the list of features which Kubernetes provides

Service Discovery and load balancing: Kubernetes has a feature which assigns the containers with their own IP addresses and a unique DNS name, which can be used to balance the load on them. Planning & Placement: Placement of the containers on the node is a crucial feature on which makes the decision based on the resources it requires and other restrictions. Auto Scaling: Based on the CPU usage, the vertical scaling of applications is automatically triggered using the command line. Self Repair: This is a unique feature in the Kubernetes which will restart the container automatically when it fails. If the Node dies, then containers are replaced or re-planned on the other Nodes. You can stop the containers if they don't respond to the health checks. Storage Orchestration: This feature of Kubernetes enables the user to mount the network storage system as a local file system. kubernetes training for more effective learning. Batch execution: Kubernetes manages both batch and CI workloads along with replacing containers that fail. Deployments and Automatic Rollbacks: During the configuration changes for the application hosted on the Kubernetes, progressively monitors the health to ensure that it does not terminate all the instances at once, it makes an automatic rollback only in the case of failure. Configuration Management and Secrets: All classifies information like keys and passwords are stored under module called Secrets in Kubernetes.

What is Docker? Docker is a lightweight containerization technology that has gained widespread popularity in the cloud and application packaging world. It is an open source framework that automates the deployment of applications in lightweight and portable containers. It uses a number of the Linux kernel’s features such as namespaces, cgroups, AppArmor profiles, and so on, to sandbox processes into configurable virtual environments. Though the concept of container virtualization isn’t new, it has been getting attention lately with bigwigs like Red Hat, Microsoft, VMware, SaltStack, IBM, HP, etc, throwing their weight behind newcomer Docker. Start-ups are betting their fortunes on Docker as well. CoreOS, Drone.io, and Shippable are some of the start-ups that are modeled to provide services based upon Docker. Red Hat has already included it as a primary supported container format for Red Hat Enterprise Linux 7.

Why is Docker popular? The major factors driving Docker’s popularity are its speed, ease of use and the fact that it is largely free. In performance, it is even said to be comparable with KVM. A container-based approach, in which applications can run in isolation and without relying on a separate operating system, can really save huge amounts of hardware resources. Industry experts have started looking at it as hardware multi-tenancy for applications. Instead of having hundreds of VMs running per server, what if it were possible to have thousands of hardware-isolated applications?

Docker is used to running software packages called "containers". A container is a standardized unit of software that packages up a code and all its dependencies so the application runs quickly and reliably from one computing environment to other. Containers are the “fastest growing cloud-enabling technology”* because they speed the delivery of software and cut the cost of operating it. Writing software is faster. Deploying it is easier — in your data center or your preferred cloud. And running it requires less hardware and support.

Although container technology has existed for decades, Docker makes it work for the enterprise with core features enterprises require in a container platform and best-practice services to ensure success. And containers work on both legacy applications and new development.

Existing, mission-critical applications can be “containerized,” often with little or no change. The result is instant savings in infrastructure, better security, and reduced labor. And new development happens faster because engineers only target a single platform instead of a variety of servers and clouds. Less code to write. Less testing. Faster delivery.

How Docker can be used with Kubernetes? From 30,000 feet, Docker and Kubernetes might appear to be similar technologies. They both are an open platform which allows you to run applications within Linux containers. But as you deep-dive little closer, you’ll find that the technologies operate at different layers of the stack, and can even be used together.

Let’s talk about Docker first

Docker provides the ability to package and run an application in a loosely isolated environment called a container. At their core, containers are a way of packaging software. The unique feature about container is that when you run a container, you know exactly how it will run - it’s very predictable, repeatable and immutable. You are just left with no unexpected errors when you move it to a new machine, or between environments. All of your application’s code, libraries, and dependencies are packed together in the container as an immutable artifact. You can think of running a container like running a virtual machine, without the overhead of spinning up an entire operating system.

Docker CLI provides the mechanism for managing the life cycle of the containers. Whereas the docker image defines the build time framework of runtime containers, CLI commands are there to start, stop, restart and perform lifecycle operations on these containers. Today, containers can be orchestrated and can be made to run on multiple hosts. The questions that need to be answered are how these containers are coordinated and scheduled? And how will the application running in these containers communicate with each other? The answer is Kubernetes. docker and kubernetes training along with real time projects.

Today, Kubernetes mostly uses Docker to package, instantiate, and run containerized applications. Said that there are various another container runtime available but Docker is the most popular runtime binary used by Kubernetes. Both Kubernetes and Docker build a comprehensive standard for managing the containerized applications intelligently along with providing powerful capabilities. Docker provides a platform for building running and distributing Docker containers. Docker brings up its own clustering tool which can be used for orchestration. But Kubernetes is an orchestration platform for Docker containers which is more extensive than the Docker clustering tool and has the capacity to scale to the production level. Kubernetes is a container orchestration system for Docker containers that is more extensive than Docker Swarm and is meant to coordinate clusters of nodes at scale in production in an efficient manner. It is a plug and plays architecture for the container orchestration which provides features like high availability among the distributed nodes.

For Example ~ Today it is possible to run Kubernetes under Docker EE 2.0 platform. Docker Enterprise Edition (EE) 2.0 is the only platform that manages and secures applications on Kubernetes in multi-Linux, multi-OS, and multi-cloud customer environments. As a complete platform that integrates and scales with your organization, Docker EE 2.0 gives you the most flexibility and choice over the types of applications supported, orchestrators used, and where it’s deployed. It also enables organizations to operationalize Kubernetes more rapidly with streamlined workflows and helps you deliver safer applications through integrated security solutions. kubernetes online training from industrial experts.

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