Composer-docker VS kubernetes

The same principle applies to any other images you may depend on, such as composer for dependency installation. Select the image tag that matches the major composer version you're using on your machine — composer:2 instead of composer:latest.

I've got a local version of PHP installed, but I really don't need it. Composer has an official docker container: https://hub.docker.com/_/composer/

I found on the docs of the composer image, in the Troubleshooting section, that composer should not be used that way. So I put it inside the Php image with COPY --from=composer /usr/bin/composer /usr/bin/composer and it worked. Thanks for the help u/effata!

I run most of the projects I develop on through a docker image. If it's a PHP project with composer dependencies, I use a composer image to install its dependencies, when I want to run it I use a php image. If the PHP image does not include the dependencies required for the project, I will look for an image within the project that is used, or build my own image serving the purpose. I like to make things easy to run and use, so that if I leave a project for a while I want it to be easy to get started again. If the project requires multiple things running, like a database, I setup docker-compose to make it easy to start a PHP container and database container alongside eachother that can communicate.

There is a hard coded case for this now in the project https://github.com/composer/docker/blob/master/1.10/docker-entrypoint.sh#L6

The /app directory is specified working directory, from composer image via https://github.com/composer/docker/blob/582c6f4e10b6b8fbf9bc1c5b02d6ec24694fe8d4/2.0/Dockerfile#L60.

In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.

Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.

Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.

Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

To learn more, you can start by exploring the official Kubernetes documentation.

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.

"You are holding it wrong", huh?

From the homepage https://kubernetes.io/:

"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."

Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.