Kubernetes has been a game-changer in the growth of cloud adoption in the last decade. As more containerized applications take frontstage, Kubernetes has become the go-to container orchestration tool.
In this blog, we will go into the depths of Kubernetes and study its architecture. We will also see a simple workflow on how you can set up Kubernetes and deploy it on the cloud.
If you wish to read more about Kubernetes, you can start with our series on it from here. Let’s get started.
Kubernetes and Docker Swarm are both very popular container orchestration tools in the industry. Every major cloud-native application uses a container orchestration tool of some sort. Kubernetes was developed by Google in the early 2010s from an internal project which managed billions of containers in the Google cloud infrastructure. You can read more about it in our blog here.
In this blog, we will go through the details of how Kubernetes and Docker Swarm differ from each other and how to choose the right tool for you.
As more and more applications became cloud-native, containers became the ubiquitous way to bring flexibility and scalability to the system. As applications gained more and more functionality, it became essential to have an automated system for container management.
A system that creates, manages, and destroys containers as the traffic requirements change. This is called Container Orchestration. Kubernetes is the leading container orchestration tool in the cloud infrastructure today. It gives a level of abstraction over containers on a cloud infrastructure and groups them into logical units for easier management and discovery.
According to a 2021 CNCF survey, 96% of all companies surveyed are either using or evaluating Kubernetes in their infrastructure. As you get comfortable using containers for your software deployment (read more about containers in our ultimate guide), you will soon require a tool to manage container deployments and configuration dynamically. This is where Kubernetes comes into the picture. Kubernetes is one of the most popular container orchestration tools. As the CTO for CNCF says, Kubernetes has now become utterly…
Software development in the last decade has largely moved from a monolithic architecture to a microservices-based architecture. The adoption of cloud platforms accelerated that transition to microservices architecture. But what does it really mean? Why did that happen, and which architecture is best for your development project? How does microservices architecture tie in with containers and cloud setups?
Storage is one of the most important aspects to take care of while dealing with containers in any architecture. By default, the data within the container is destroyed with the container. This makes it difficult for other containers to access the data and carry the process forward.
In architectures of scale, container orchestration is internalized by tools like Kubernetes and Docker. This means that multiple containers are created, managed, and destroyed within the same workflow.
Most containerized applications need some form of communication with other network devices and applications. This is where container networking concepts play an important role. In this blog, we will tell you everything you need to know about container networking and how to get started on it.
Docker desktop gives you a straightforward way to use any Docker image and run a container.
You can choose to use any image. To start with, we advise you to take an image from Docker Hub. As discussed in the previous blog, Docker Hub is a public repository of Docker images that are verified by
In 2013, Docker revolutionized the virtualization space with Docker Engine. Containerization became more mainstream, and Docker became ubiquitous to containers. With Docker, developers could standardize the environments for their applications to work in. These standardizations made way for smoother deployments and faster time to market. In this blog, we tell you everything you need to get started with Docker. This is part of our extensive series of blogs on Containers.
The virtualization world has seen a sea change in the last 10 years. For a long time, Virtual Machines ruled the virtualization world. But ever since Docker Engine was launched in 2013, containers have become the go-to virtualization method for developers. Over time, the software development process has now shifted from a blame game of “it-works-on-my-machine” to smooth deployment of software systems performed 1000s of times every day.