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Introduction to Kubernetes

We are rapidly moving towards the age of cloud computing, where every organization, small or big, has or wants its resources and data to be available, no matter what region or time it's been accessed. Previously, the data generated by the applications was less than in today's scenario. Availability of data every time is the most crucial aspect for businesses, no matter the situation or the geographic location it is being used/accessed. And this can be costly.

PostgreSQL is a powerful, open-source Relational Database Management System. Click to explore about our, PostgreSQL Deployment in Kubernetes

Because installing physical machines everywhere, businesses need to expand and handle all the data or transfer the data to servers located in different locations is an expensive procedure. This is why the cloud came to light. With the cloud, everything was readily available and could be used by any business, small or big, without worrying about the things mentioned above. The major cloud providers AWS, Google, and Microsoft Azure. A few more concepts came with the cloud, such as images, containers, etc. Let's talk about containers. What are these? So, in simple words, reliable in any computing environment.

Yes, Containers provide us with many things, but they also need to be managed and linked to the outside world for other processes such as distribution, scheduling & load balancing. This is done by a container orchestration tool like Kubernetes. So, when we talk about containers, KUBERNETES comes attached. Maybe I'm wrong, but within the past few years, it has made its place in this cloud world as a container orchestration tool. It is built by google as per their experience in using containers in production. And Google has made sure that it is the best in its field.

Serverless Framework is serverless computing to build and run applications and services without thinking about the servers. Click to explore about our, Kubeless - Kubernetes Native Serverless Framework

Why should we need it?

There are several reasons listed below:

Moving from - Monolith to microservices

Monolith applications are described as single-tiered applications in which different components are packaged together to form a single platform. It's been used for years and is still in use for its easy-to-develop and deploy characteristics. But it has some drawbacks and limitations. So, people are moving towards microservices as an alternative to monolithic applications.

Microservices are an application development technology that produces an application based on highly distributed services as an iterative process of the service-oriented architecture and design style. In contrast to monolithic architecture, Microservices architecture takes a modular design instead of combining all information in a single platform.

Increased usage of containers

The Application Container business is rapidly growing yearly, reaching USD 7.6 billion by 2026, increasing to USD 1.5 billion in 2020. This rapid growth is mainly because of the advantages containers provide for development teams, such as agility, portability, development speed, efficiency, easy management with fault isolation, and high security.

Managing a large number of containers

Container orchestration methods provide a structure for scalably managing containers and microservices architecture. For container life-cycle management, there are multiple container orchestration tools. Docker, Kubernetes, and Apache are a few popular choices.

It enables the creation of application services that involve multiple containers, the scheduling of containers across a group, the scalability of those containers, and the management of their health over time. Manage everything from software deployments to infrastructure

kubernetes-security-solutions-icon-2
An open-source system, developed by Google, an orchestration engine for managing containerized applications over a cluster of machines. Click to explore the potential of Kubernetes for Enterprises

What are the benefits of Kubernetes?

The benefits are highlighted below:

Write once and run anywhere

At this time, the business has to work across a wide range of infrastructure and clouds such as AWS, GCP & Azure, and working across these platforms is made easy using it as its supports a wide range of cloud platforms.

Portability and flexibility

It is compatible with most of the container runtime. Moreover, it can collaborate with virtually underlying architecture, no matter what cloud it is, a public or private cloud or an on-premises server.

It is portable because it can be used on many infrastructures and environments. Most other orchestration tools lack portability because they are attached to specific runtime environments or infrastructures.

Multi-cloud capability

It partly because of its portability, can host workloads that run on a single cloud and workloads that run across multiple clouds. Furthermore its environment can be easily scaled from one cloud to another.

These characteristics indicate that it suits today's multi-cloud strategies many businesses are pursuing. Other orchestration tools may also work with multi-cloud infrastructures, but Kubernetes arguably goes above and beyond in terms of multi-cloud flexibility. When considering a multi-cloud strategy, there are additional requirements to consider.

One of the best platforms to deploy and manage containerized applications. Click to explore about our, Helm - Package Manager for Kubernetes

Open-source

It is an entirely open-source, community-driven project managed by CNCF. It has several major corporate sponsors, but no single company "owns" it or has sole control over how the platform evolves. In the CNCF's Kubernetes Project Journey report in 2019, Weaveworks was named one of the top eight contributors.

To many businesses, it's open-source strategy makes it preferable to either closed-source orchestrators (such as those built into public clouds) or open-source but closely associated with only one company.

Service discovery

So, You must be wondering what service discovery is simply put, it's the process of locating a service whenever necessary for completing the tasks within the application. Anyone could make requests either by users or by admins several times.
Kubernetes service provides protocols for communicating with the pods or a set of pods during their runtime. Pods are the smallest deployable unit of its system, which carries out the essential tasks necessary for the application to function.

In its service, three principal units make the mechanism possible by exposing the service to the system ClusterIP, NodePort & LoadBalancer.

Storage orchestration

Storage is a big problem, and handling it even more. Making the data available always, backing up the data, keeping secret data safe, and many more challenges were there too. Still, as the world is rapidly moving in the digital era, these challenges seem more complex, and we need to solve these. Its architecture provides the necessary aspects that make these challenges.

Easy to handle. The k8s storage architecture is based on volumes. Volumes can be either persistent or maybe non-persistent. K8s provides a requesting mechanism that allows the containers to use storage as per their need, known as volume claims.

Automated rollouts and rollbacks

In the Digital era, everything is about maintaining consistency in everything from service to quality. Any business demands that they don't want any downtime as it results in huge losses.

Previously updating any application manually was a hectic and lengthy process. If the update has some bugs that may fail, taking back, the updated version was hectic, too, and may result in pausing the service for a certain period. It provides automated rollout and rollback, which is done gracefully without downtime. There are many more advantages, such as Automatic bin packaging, Self-healing, and Secret and configuration management, which simplifies the cloud development environment.

Java vs Kotlin
An approach to speed up building new applications, optimizing existing ones, and connecting all of them. Click to explore the potential of Cloud Native Applications

Conclusion

In brief, it allows us to deliver our application closer to customer data sources, resulting in lower latency and better performance. Internally, Kubernetes enables our developers to devote more time to developing new features and improving our application to keep it relevant and valuable to our customers. Thus, we can conclude that it is and will make the cloud development process easy to use and implement a huge number of services within the application with minimum loss of cost or failure in providing any service by the digital business.

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