Docker and Kubernetes
Container storage, it is becoming increasingly popular. They are broadly similar to VMs, but have less stringent requirements for sharing the operating system with applications. Container data storage considered lightweight, and container storage is increasingly used between clouds and OS distributions.
?How does it work?
?The storage of data and container technology has undergone considerable growth in recent years, which sounds very logical since container-oriented platforms are extremely manageable and scalable.
From a distance:
Docker and Kubernetes appear to be similar technologies, namely, both share applications within Linux containers. If you look closely, you might find that both technologies work on different layers of the stack, and can even be used together.
?Obviously, it is essential to gain insight into both technologies if one wants to apply applications based on Docker and Kubernetes within a modern Cloud infrastructure. We explain how both technologies fit into the world of Linux containers, and how you can use them within the architecture of your own applications.
?About Linux containers:
?A container contains the application and all dependencies the software needs to run: libraries, binaries and configuration files. The differences in versions of the operating system and infrastructure no longer affect the operation of the software within containerization, by containerizing the application platform, the application and all its subordinate functionalities.
?Containers are at their most basic core packaging for software. What makes these elements so special is the fact that when an application operates within these containers, the behavior is predictable. The content is fixed and untouchable. And no unexpected errors are to be expected when moving them across different environments and / or hardware. Furthermore, all applicable application code, libraries meta details and configuration are packed together in the container as an unaffected artifact. This includes the use of a container and the deployment of a virtual machine, without directly using the entire operating system. The required boot time of a container in relation to a virtual machine is a very big advantage. Containers have virtually no start-up time and are therefore suitable for quickly scaling up and down. In this way, the use of infrastructure and the cost effect can be further optimized. In all cases, it leads to significant savings within a "pay per use" Cloud infrastructure.
?Based on the above characteristics, containers and their use become the most essential building blocks in modern innovative Cloud environments. The industry still builds on the basis of micro-service architecture, while a container has a much smaller size than the alternative used in the micro-service, the virtual machine. Think of a size of megabytes for a container and gigabytes for a virtual machine. Containers thus make much more efficient, and therefore cheaper, use of (cloud) infrastructure.
?About Containers and Docker:
?Docker helps you create and deploy software within containers. Basically it is a collection of tools that can be used to build, transport and deploy anywhere on the basis of apps.
?Within the use of Docker you create a special file to the “Docker file”. Docker files define a build process that, once presented to the Docker build order, will produce an immutable “docker image”. You can think of this as a snapshot of your application, ready to use. A big advantage here is the fact that the overhead is minimal as the kernel and the standard software in the operating system are shared with all other containers. So you can offer a lot of applications on a small amount of hardware. As described earlier, this offers many advantages in terms of costs within the use of Cloud services. With public Cloud providers you pay for the time that you use resources and costs are limited by using resources as effectively as possible using containers.
?A big advantage in using Docker is the fact that you can easily transfer it in a container to other environments. Think of an application that can quickly move from test environment via acceptance to production. The underlying environment of the container remains the same if you move it to another hardware. There are also limitations; You cannot move a container that has started to another host. A Docker version based on Windows has also been available for a number of years. These actually offer the same advantages as the Linux variant. You can also easily move applications to the Cloud and, if necessary, back on-premise. In addition to Linux and Windows, Docker containers can also be used in Cloud platforms of Google Compute Engine, Microsoft Azure Amazon and Rack-space.
?Containers and Kubernetes:
?Once working with containers, the user will discover that there are still some additions to be made within the control, especially in the use of multiple containers on multiple machines, especially if micro-services are used within the environment. Finding out how containers communicate with each other, how storage is arranged and how errors within containers and hardware can be resolved requires considerable management capacity. This is where Kubernetes comes into the picture. The open source container orchestration Kubernetes was originally developed by Google.
?Kubernetes is an open source platform that allows you to automate the deployment, scaling, and running of application containers. With the use of Kubernetes, application containers can plan and execute tasks on computer clusters, but can also enable transport to container-oriented infrastructure. The advanced implementation and packaging method is not performed physically or virtually, but takes place with the use of containers. The use of Kubernetes applications involves little downtime, impressive performance and little need for support. Kubernetes works on the basis of the master-slave architecture. Individual Kubernetes components can be divided into components that manage a separate node and components that participate in the execution of the control and management plan and allow the generation of new containers on different machines if a setup fails. Classless Inter-Domain routing (CIDR) The Kubernetes network is large in size and flat in dimension, allowing all pods in the system to easily communicate with each other through two CIDRs. In Docker Swarm, a dedicated node attached to a cluster creates a parent network of services that includes all hosts and a host-only network for containers.
Integration:
Kubernetes integrates with the Docker engine to coordinate the planning and execution of Docker containers on Kubernetes (representing the most basic level within the Kubernetes hierarchy).
Conclusion:
Used in combination, Docker and both Kubernetes are great tools for developing a modern Cloud architecture, but they are fundamentally different at their core. It is important to understand the technological differences between the two tools when building your solution.
?Good luck exploring Docker and Kubernetes!
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