In 2023, cloud leaders should start investing in Kubernetes (K8s) to drive application modernization, instead of virtual machines

Explaining Kubernetes and validating why leaders should contemplate switching to K8s, briefing its benefits, and using a real-world example as proof.

Poonkuzhale K

In 2023, cloud leaders should start investing in Kubernetes (K8s) to drive application modernization, instead of virtual machines

Primed to switch?

K8s will rise in prominence in 2023 as a distributed computing backbone for existing and new workloads because of their exceptional performance. Artificial intelligence and machine learning, data management, the Internet of Things, 5G wireless networking, edge computing, and blockchain will all contribute to the expected increase in workloads soon. The move to modern applications will be accelerated by K8s's automated DevOps processes, low-code features, and site reliability engineering. Thus, implementing containers and Kubernetes will become the top priority for cloud leaders.

So why should organizations consider making the switch to Kubernetes? Here is a detailed investigation.

Defining Kubernetes

Kubernetes is a free, open-source software for managing and deploying multiple containers in a cloud computing infrastructure. Kubernetes is typically used with Docker to provide superior management and deployment of containerized applications. To ensure consistent and efficient operation across multiple platforms, developers now "bundle" applications in container images with all the supporting files, libraries, and packages they need.

Kubernetes is a brainchild of Google, which was first used as an internal Google project and later made available for the public to simplify cloud-based software deployment in 2014. The Cloud Native Computing Foundation is currently supporting Kubernetes.

To know


Docker is an application development, testing, and deployment platform. Docker is a technology for automating the process of distributing and running software by packaging it into portable, self-contained units called containers that include the application's source code, dependencies, and runtime environment. Docker makes it easy to ship and scale programs across different environments while maintaining code compatibility.

Docker on Amazon Web Services (AWS) gives programmers and system administrators a low-cost, dependable platform to create, ship, and run distributed applications of any size.

Why switch from Virtual Machines to K8s

The development of virtual machines, containers, and orchestration platforms like Kubernetes has allowed businesses to manage their application deployment and operating responsibilities. As opposed to the conventional method of deploying applications, Kubernetes offers several benefits. Because of its adaptability, it facilitates automation by providing a declarative way of distributing application code. K8s is reliable because it can be deployed with little downtime, scale, and repair damaged containers. Compared to virtual machines, K8s saves money since it requires less specialized hardware, takes less time to set up, and requires fewer people to keep it running. Virtual machines (VMs) have the major drawback of wasting money on unused resources, which is also mitigated by this method.

In addition, the Kubernetes deployment architecture comprises a control plane called Kubernetes Master (including Scheduler, API Server, Controller Manager, etc.) and a set of nodes called cluster nodes (having Kubelets and KubeProxy). It was created to minimize overall infrastructure expenditures by fairly distributing workloads among available resources. K8s architecture is designed to deliver applications and infrastructure availability, unlike most container orchestration solutions, which can only provide application availability. 

Overall, Kubernetes speeds up application development and cuts the time it takes to get them on the market by a lot. It manages and secures the IT infrastructure for agility, elasticity, and resilience. K8s declarative and API-driven architecture frees development teams to concentrate on application logic and business strategy; thereby, the development teams can be more productive and creative with greater freedom.

Do you know

The total value of the Global Kubernetes Solutions market was $1,643.25 million in 2021, and it is foreseen to increase at a CAGR of 23.71% over the forecast period, reaching $1,589.53 million by 2027.

Migrating to K8s

Kubernetes was designed to be a very flexible and easy-to-configure platform, but it takes a few steps to use it fully. You may successfully integrate container orchestration and realize its benefits through team-level skill development, training, and a well-designed migration plan.

The following steps make up the plan that a company needs to follow to move to Kubernetes efficaciously:

Defining Strategy

Establishing some end goals for the deployment of Kubernetes is the first step in determining whether or not it is the perfect fit for your company. It would help if you had a plan considering how this new cluster management system will develop and alter over the next decade. The best case scenario is if our approach is innovative and adaptable.

After settling on a broad approach, you can zero in on the specific organizational objectives for this transition. Each team moving to this system needs to have its requirements well stated, and the size of their application or microservice clusters must be determined. You should be able to adhere to industry standards and have complete control over the implementation while offering the core features of your application.

Segmentation of Application Development

Each team working on the app must collect data about the services that come together to form the app. This way, they can better stratify the program and determine which parts need to be moved to the orchestration layer.

In addition to the services, the network interactions between the app's various interfaces must be investigated. Assigning configuration data to specific files in the filesystem and determining which files will hold static and dynamic information are other crucial steps.

Assistance with Containerization

A highly skilled group must effectively containerize all services and processes using image repositories. Depending on the type of deployed application, these container images may include binary data related to several different programming languages and interfaces.

Containers may be tailored to some extent to meet the needs of specific applications. Your image repository's content, format, and context should be decided after deployment to the proper environment. After that, you can either rewrite your legacy software from scratch or run it in a container.

Advanced Technical Issues to consider

Some high-level development environment factors are

data-keeping, management, setup, and policy-making in the network that are to be viewed.

It is essential first to determine whether cloud-native storage solutions or persistent storage volumes are required. The team must comprehend how the pods' controllers will manage the tiniest deployable units.

Then configurations are stored in API objects referred to as configmaps and delivered to your Kubernetes cluster. To regulate traffic flow, application-centric network policies permit the isolation or non-isolation of pods.

To know


Pod containers and system components can be bound at runtime to non-sensitive configuration artifacts like configuration files, command-line arguments, and environment variables using ConfigMaps. Using a ConfigMap, you can keep your workloads portable by isolating their configurations from the Pod and their components.

Pod Container

A group of containers that share a standard set of resources (such as a storage pool and a network) and follow the exact instructions for operation is called a pod. The components that make up a Pod are always scheduled and executed simultaneously in the same shared environment.

Advantages of Making the Switch to Kubernetes

Kubernetes, a cluster management solution, improves the speed, reliability, and scalability of automated app deployment for any business. Container-based apps gain efficiency from automated deployment and management, which benefits the entire company. The benefits of switching to Kubernetes can be summarized as follows.

Economic Value

Saving money on hosting, migration, and tech support directly results from consolidating all application installations onto a single platform—further with picking the correct kind of node and enabling autoscaling to contribute to cost-effectiveness.


Kubernetes' unified runtime production environment benefits the entire development, QA, and operations teams with higher levels of operational uniformity.


Kubernetes' portability means it can be deployed and scaled by any business, regardless of whether its servers are in the cloud, on-premises, or some combination of the two.


With Kubernetes, horizontal scalability, elasticity, and automation are all possible with nearly zero downtime or performance issues. So, depending on the application's needs, the number of containers can be increased or decreased automatically. 


Controlling Kubernetes API access, limiting the capabilities of a task or user during runtime, and preventing cluster components from being hacked are just a few of Kubernetes' many security features.

Real-world example

Over 150 million people read the New York Times, making it one of the world's most widely distributed periodicals. The NYT embraced the digital era to adapt to its audiences, who increasingly read content on their phones. The issue of fake news was one of the most bizarre challenges it had to overcome. They decided to rigorously verify all sources for fear of giving their audience false or unproven information.

In light of this, a newsroom of this size would need a reliable backup system to protect the vast amounts of data it processes. They started with the LAMP Stack but were so unsatisfied that they switched to a React-based front end powered by Apollo. At that point, Kubernetes presented its answer. The corporation opted a few years ago to shift its data centers and less-critical workloads to VMs. The rate of dissemination, deployment, and output all went up enormously. Deployments that once took 45 minutes or more can now be pushed in a matter of minutes using the Legacy method.

The New York Times has transitioned away from its previous ticketing system and is now making requests for resources that implement weekly schedules. Thanks to this, programmers can now release patches without any outside interference.

Kubernetes is becoming the go-to tool for managing containerized software stacks. Its widespread acceptance and success can be attributed to its various benefits, including the ability to deploy safely, flexibly, scalable, economically, and uniformly, regardless of whether the system is hosted in the cloud, on-premises, or in a hybrid configuration. However, deciding whether or not to switch to Kubernetes is a complex matter. The organization's willingness to wait for the platform's long-term benefits, as well as other criteria such as cloud and container experience, the availability of specialist employees, the ability to overcome a steep learning curve, and the cost and duration of the migration, must all be taken into account.

Many CIOs and top IT executives are already using Kubernetes because its stature is becoming increasingly apparent worldwide. Companies like Google, Shopify, and Udemy have reportedly switched to Kubernetes and integrated it into their IT stacks. 

Performix's DevOps Services guarantee efficient use of resources and consistent data storage and retrieval throughout the whole software development life cycle. 

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