HARDCODE

 After we explored a simpler approach of running multiple containers in Run Multi-Container Applications with Docker Compose  let's try a more advanced approach with wider options and definitely more steps to implement. Kubernetes is an open-source platform designed to automate deploying, scaling, and managing containerized applications. It groups containers into logical units for easy management and discovery, making it a key player in the world of DevOps, ci/cd and cloud-native applications.  It's very important to note that this simple example is only aimed for software engineers who aren't responsible for DevOps or ci/cd rather this is for the engineers who develop the applications so that they get a glimpse of how their applications are generally handled after they get containerized and understand a bit about how their work gets deployed.  I also would like to clarify that in order for us to run Kubernetes (k8s for short, because there are 8 letters between...

 Let's talk about Docker Compose, a powerful tool that simplifies the process of managing and orchestrating multiple Docker containers. Docker Compose allows us to define our multi-container application with all of its dependencies in a single file, then spin our application up in a single command which does everything that could otherwise be performed on the command line. In this brief tutorial, we'll walk through the process of creating a Docker Compose file, explaining the role of each section and how they work together to define your application. We'll then demonstrate how to use this file to run your containers, making your application accessible on specified ports. By the end of this tutorial, you'll have a solid understanding of Docker Compose and how to use it to simplify the management of your Docker applications. It's particularly useful in development environments for testing multi-container applications. Docker Compose can also be used in production...

Containerizing your application these days has become somewhat of a necessity in most projects. It allows you to deploy and horizontally scale your application in simpler fashion using Docker Compose or Kubernetes . Containers include everything your application needs to run, which simplifies deployment. You don't have to worry about installing dependencies on the server, because they're included in the container. They also ensure that your application runs the same way in every environment, from a developer's local machine to a test environment to production. This eliminates the "it works on my machine" problem. Let's see how to simply prepare a Dockerfile that allows you to run your application on Docker. Before doing anything please note that this tutorial is only applicable on Windows, and you need to install Docker (and preferably Docker Desktop too) before the following steps. Sample API First of all, let's create a project and add the following ...