As Kubernetes continues its ascent as a leading container orchestration platform, it's common for users to encounter a perplexing choice between two prominent workload controllers: StatefulSets and Deployments. Despite both controllers being instrumental in managing high-availability workloads, they diverge significantly in terms of features and use cases. Grasping these distinctions is pivotal for fine-tuning the performance and scalability of your Kubernetes infrastructure.

Welcome to the world of Kubernetes - a powerful container orchestration platform. Before we dive deep into the concepts of Kubernetes, let's grasp the concept of containers - a lightweight, and isolated units that package applications along with their dependencies, ensuring seamless deployment and portability. In this blog, you will witness Kubernetes incredible abilities. It can handle the ups and downs of your applications, ensuring they scale seamlessly, even when facing tough challenges.

Kubernetes serves as a robust tool for managing and orchestrating applications across multiple computers. These computers are referred to as 'nodes.' Picture nodes as fundamental units in the ecosystem of your applications. Every node possesses its own computing resources, encompassing memory, processing capabilities, and storage capacity. Your apps are hosted and run by nodes. They give your apps the room and resources they need to work.

Kubernetes has revolutionized how modern applications are deployed, managed, and scaled. As the container orchestration platform of choice, Kubernetes provides a dynamic and highly efficient environment for running containerized applications. At the heart of this ecosystem lies the intricate relationship between Kubernetes and the applications residing within its clusters. Applications within Kubernetes clusters are arranged through Pods, which are managed and scaled by various controllers.

In the ever-evolving landscape of modern software development and deployment, Kubernetes has emerged as a prominent solution to manage and orchestrate applications. This technology has redefined how applications are deployed and maintained, offering a flexible and efficient framework that abstracts the underlying infrastructure complexities. In Kubernetes, you define how network traffic should be routed to different services and pods.

Docker is designed for Linux. It works most efficiently on Linux systems due to its close integration with the Linux kernel. When handling large filesystems, like the ones built with PHP and Node, Docker desktop (MacOS Environment) experiences significant lag. The main reason is how file synchronization is implemented in Docker for Mac. Plus, disk space consuming behavior of such big PHP Projects.

NestJS is a popular and powerful open-source framework for building scalable and maintainable server-side applications with Node.js. It follows the principles of Object-Oriented Programming (OOP), Dependency Injection (DI), and Functional Programming (FP), making it an excellent choice for developers who prefer a modular and organized codebase. NestJs facilitates the creation of reliable, efficient, and scalable server-side applications using Node.js.

In today's world of container-based applications, the role of storage has become more critical than ever. One of the most significant challenges of containerization is the management of stateful applications. Kubernetes, one of the popular container orchestration platforms, provides a solution to this problem - Persistent Volumes (PVs). PVs allow the storage provision to be decoupled from the lifecycle of the Pod, making it easier to manage stateful applications.

Kubernetes has become the go-to platform for container orchestration, allowing teams to more efficiently manage their containerized applications. Vanilla Kubernetes, as well as managed Kubernetes, are the two options available when building up a Kubernetes system. A group of programmers using vanilla Kubernetes must download the source code files, follow the code route, and set up the machine's environment.

Kubernetes liveness probes are a critical component for monitoring the health and availability of application containers running within a Kubernetes cluster. They allow Kubernetes to determine whether a container is running as expected and take appropriate actions if it is found to be unresponsive or in an unhealthy state. Liveness probes periodically check the health of containers by sending requests to a specified endpoint or executing a command within the container.