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Why is Kubernetes an Important Tool ?

Kubernetes also known as “K8s”, automates the deployment and management of cloud-native applications by orchestrating containerized applications running on a cluster of hosts. With this tool, workloads are distributed across a cluster and dynamic container networking is automated. It allocates storage and persistent volumes to running containers, scales automatically, and continuously maintains the desired state of applications, providing resilience. The Kubernetes platform is an open-source platform for managing containerized workloads and services. It facilitates declarative configuration as well as automation. There is a large, rapidly expanding ecosystem of Kubernetes services, support, and tools available.

Why Do we need Kubernetes?

When it comes to the necessity of Kubernetes, the summarized answer is that it saves developers and operators a lot of time and effort, allowing them to focus on building the features they need instead of trying to figure out and implement ways to keep their applications running well, at scale. As Kubernetes keeps applications running in spite of challenges (such as failed servers, crashed containers, traffic spikes, etc.), it reduces business impacts, reduces the need for fire drills to restore broken applications, and protects against other liabilities, such as the costs of not meeting Service Level Agreements).

Kubernetes automates the process of building and running complex applications. here are just a few of its many benefits:

1. The standard services that most applications need, such as local DNS and basic load balancing.

2. The majority of the work of keeping applications running, available, and performant depends on standard behaviors (such as restarting this container if it dies).

3. Pods, replica sets, and deployments are abstract “objects” that wrap around containers, enabling easy configurations around collections of containers.

4. A standard API that applications can call to easily enable more sophisticated behaviors, making it much easier to create applications that manage other applications.

Kubernetes Use Cases:

You can bundle and run your applications using containers. In a production environment, you must make sure that the containers that run the applications don’t go down. For example, if a container goes down, another container needs to start. Wouldn’t it be easier if a system handled this behavior? As a result, Kubernetes can be your solution. Kubernetes provides a framework for running distributed systems in a resilient manner. Kubernetes handles scaling and failover for your application provides deployment patterns, etc. For instance, it can handle a canary deployment for your system easily. Its use cases include:

Automated rollouts and rollbacks

The Kubernetes platform allows you to specify the desired state of your deployed containers, and it can automatically change the state to the desired state at a controlled rate. For example, you can automate it to create new containers for your deployment, remove existing containers, and adopt all of their resources into the new container.

Storage orchestration

You can use Kubernetes to automatically mount local storage, public cloud providers, and more.

Service discovery and load balancing

The Kubernetes platform allows exposing containers either via their DNS names or by using their own IP addresses. In the event that high traffic to a container occurs, Kubernetes will load balance and distribute traffic to keep the deployment stable.

Automatic bin packing

Kubernetes uses a cluster of nodes to run containerized tasks. You tell the system how much CPU and memory (RAM) each container needs. Kubernetes can fit containers onto your nodes to maximize resource utilization.

Secret and configuration management

It is possible to store and manage sensitive information, including passwords, OAuth tokens, and SSH keys, without having to rebuild your container images or expose secrets to your stack configuration with Kubernetes. You can deploy and update secrets and application configuration without having to rebuild your container images, and you do not have to expose secrets to your stack.

Self-healing

A Kubernetes cluster restarts applications that fail, replaces containers when they fail, kills containers that fail the user-defined health check, and does not advertise them until they are ready to be used by clients.

How Does Kubernetes Work?

It is important for developers to plan out how all the components fit together and work together. They should also plan out how many of each component should run, and what should happen if challenges occur (such as many users logging in at the same time.) Typically, they store their containerized application components in a container registry (local or remote) and define their configuration in a text file. To deploy the application, they “apply” these configurations to Kubernetes. Its job is to evaluate and implement this configuration and maintain it until told otherwise.

1. It Analyzes the configuration and aligns its requirements with those of all other applications on the system.

2. Provides resources appropriate for running new containers (for example, some containers may require GPUs that are not present on every host).

3. It Grabs container images from the registry and starts up the new containers and helps them connect to one another and to system resources (e.g., persistent storage), so the application works as a whole

Once Kubernetes has monitored everything, it tries to fix things and adapt when real events diverge from desired states. if a container crashes, Kubernetes restarts it. if an underlying server fails, Kubernetes finds resources elsewhere to run the containers that the node was hosting. As traffic spikes to an application, Kubernetes can scale out containers to handle the additional load, in accordance with configuration rules.

Advantages of Kubernetes?

There are several important advantages to Kubernetes that have made it so popular:

1. Scalability

As the number of containers increases, Kubernetes spins up additional container instances and scales them out automatically, which is similar to how cloud-native applications scale horizontally.

2. Integration and extensibility

It supports many open source solutions complementary to it, including logging, monitoring, alerting, and more. Its community is working on a variety of open source solutions complementary to Kubernetes.

3. Portability

It is possible to run containerized applications on K8s across an array of environments, including virtual environments and bare metal. Kubernetes is supported in all major public clouds.

4. Cost efficiency

Due to its inherent resource optimization, automated scaling, and flexibility to run workloads where they are most valuable, you can control your IT spending.

5. API-based

It is built upon its REST API, which allows all its components to be programmed.

6. Simplified CI/CD

CI/CD is a DevOps practice for automating building, testing and deploying applications. Enterprises are now integrating Kubernetes and CI/CD pipelines to create scalable CI/CD pipelines.

Kubernetes and Docker

In Kubernetes, Docker can serve as an orchestration platform for running containers. When Kubernetes schedules a pod on a node, its kubelet instructs Docker to launch the specified containers. Container status is continuously collected from Docker by the kubelet, which aggregates this information in the control plane. Docker pulls containers onto the node and starts and stops them as necessary. When Kubernetes and Docker are used together, the automated system asks Docker to do those things instead of the admin doing them manually on all nodes.

Wrapping Up:

In this tutorial, you learned about Kubernetes, its advantages, use cases, and how it works. In summary, it Automates container networking needs and distributes application workloads across a Kubernetes cluster. It also allocates storage and persistent volumes to running containers, provides automatic scaling, and continuously keeps applications in the desired state, ensuring resiliency.

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Introduction to Docker and its Use Cases

Several development teams are focusing on Docker as one of their favorite container-based platforms. It is becoming increasingly popular due to its reliability, performance, and functionality. The open-source containerization software and its underlying components must therefore be understood. In this article, we will focus on Docker, containers, use cases of Docker, its advantages, and its differences from Virtual Machines.

What is Docker?

The Docker containerization platform provides a lightweight virtualized environment called a container that allows developers to develop, deploy, and manage applications. It serves primarily as a development platform for distributed applications that can operate in a variety of environments. By making the software system agnostic, developers don’t have to worry about compatibility issues. Since Docker utilizes virtualization to create containers to store apps, the concept may seem similar to virtual machines. Also, packaging apps into isolated environments (containers) makes it easier to develop, deploy, maintain, and use applications. In spite of the fact that both containers and virtual machines are isolated virtual environments used for software development, there are important differences between them. The most important difference is the Docker container’s lighter, faster, and more resource-efficient nature.

What are Containers?

A Docker container is a lightweight virtualized runtime environment that can be used to run applications. Each container contains the necessary code, tools, runtime, libraries, dependencies, and configuration files to run a specific application. They are independent of the host and from all other instances running on the host. In Docker, containers are built by running an image on the Docker Engine. As these are the most common terms, you should be aware of the difference between Docker images and Docker containers. Unlike virtual machines, containers virtualize at the application level. In this way, the OS kernel is shared with the host and an operating system is virtualized over it, so resources are spared and lightweight virtual environments can be quickly and easily configured.

Using containers, we can isolate certain kernel processes and trick them into thinking they’re the only ones running on a completely new computer. unlike virtual machines, containers can share the kernel of the operating system with only their respective binaries/libraries loaded. Thus, you don’t have to install a whole separate OS (called a guest OS) inside your host OS. You can run multiple containers inside one operating system.

What are the Benefits of Using Docker?

1. New Developers can quickly Get started With the Team’s Project

When a new developer starts to work on your product, he still has to install some local servers, set up a database, install libraries, integrate third-party software, and configure it all. How long does it take? From a few hours to many days. Even if your project has an excellent onboarding manual that explains all the steps, there is a high probability that it won’t work for every laptop and system configuration. A new developer’s onboarding is often a collaborative effort by the whole team that guides him or her through the installation of all missing parts and resolving system problems. The Docker container automates all these manual installation and configuration steps, so the developer only has to launch Docker and run a single command (docker-compose up), and that does all the work for him. No matter if he uses Docker on a macOS, Windows, or Linux computer.

2. You can Test Your App in all Environments:

You must have heard of a famous developer’s excuse “It worked on my machine”. Whether something works on your server or on the developer’s computer does not guarantee that it will work. Additionally, the software versions may not match the missing libraries or tools. Besides, there are many different computers and servers out there, and their configuration may differ in so many ways. if you do not use Docker, you have to configure them manually, which can be time-consuming and prone to error.

In order to solve this problem, Docker bundles not just the code but also all the components that need to run an application or website. These components are inside Docker containers, which are isolated and independent of the outside world. This allows them to run in a predictable and consistent manner everywhere. This means developers spend less time fixing issues and more time delivering new features.

3. No vendor Lock-in When it comes to Hosting

The Docker container is similar to the cargo container. Docker containers, just like cargo containers, are standardized, so most computers, servers, and cloud computing (such as container ships, freight trains, and trucks) can handle them. It gives you great flexibility in terms of your hosting technology and provider. You can start with a small, cheap server and scale it into a larger, more expensive one when necessary. And what’s more, you won’t be stuck with just one host.

4. Flexible scaling of your app or website

While Docker won’t make your website or web application scalable out of the box, it may be a key component of software scalability. especially if you use AWS or Google Cloud to host your website. The right containers can be launched in many copies to handle the growing number of users. In the cloud, this scaling can be automated, so if more people use your site, more containers will be launched. The same applies to downsizing, fewer users mean a smaller hosting bill.

5. Keep track of all changes made to your application components

The Docker container enables developers to easily define a programmable environment for the code to run in. This eliminates the need for written or spoken instructions to be executed by humans. No more manual installation or configuration. Docker converts all these manual processes into code, so there will be no more misunderstandings when a developer installs a library without notifying others that it is required to launch the application. An automated installation and configuration process that is automatically performed on every developer’s computer, as well as on the server. And this saves a lot of time during development.

6. Makes your application easier to compose with third-party apps

It has already been mentioned that Docker helps you bundle your code with third-party software inside closed containers. However, it also provides a vast repository (Docker Hub) where developers can find templates (called Docker Images) for creating containers for their website or web application. Using the configuration already created by the Docker community reduces the development time since no new configuration needs to be created, and the development team will save time by not starting from scratch.

Differences between Docker and Virtual Machines:

Both Docker Containers and Virtual Machines are containers that can store code and mix it with additional software, files, and configuration. At first glance, these two may seem similar. Virtual machines require a separate operating system (like Linux or Windows) to be installed inside of them. and operating systems are not the lightest pieces of software. In other words, if you have a lot of virtual machines, it will get very heavy (both in terms of disk space and computing power).

Docker containers, instead of having their own operating system, use the operating system of the computer/server where Docker is installed. In the Docker engine, computer resources can be accessed by the containers in a way that makes them feel like they have their own operating system.

Conclusion:

In this article, you got familiar with Containers, Docker, its benefits and use cases, and its differences from Virtual Machines. In summary, with Docker, you can easily build, test, and deploy applications. Docker packages software into standardized units called containers that contain libraries, system tools, code, and runtime so it can run quickly. You can deploy and scale applications in any environment with Docker and know that the code will run.

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In Arashtad, we have gathered a professional team of developers who are working in fields such as 3D websites, 3D games, metaverses, and other types of WebGL and 3D applications as well as blockchain development.

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Drop us a message and tell us about your ideas.
Fill in the Form
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