#docker

#docker

Docker builds images in layers, caching each one.When you rebuild, Docker reuses unchanged layers to avoid re-executing steps - this is build caching. So the order of your instructions and the size of your build context have huge impact on speed and image size. Here are the quick tips to optimize and achieve 2 times faster speed building images:

If you've ever struggled with running multiple docker run commands for a complex application, Docker Compose is your solution. It's a tool that allows you to define and manage multi-container Docker applications using a single, declarative configuration file. Instead of a long list of commands, you describe all your services, networks, and volumes in a docker-compose.yml file. With one command, you can spin up your entire application stack.

Docker has become extremely popular nowadays. It is lightweight, portable, self-contained, and thus great for microservices architecture. Docker containers make it easier to build software and isolate the environment, and they can be run in many different environments with different operating systems and hardware platforms. We could discuss more how great containers are for deployment purposes, but let's take a step back and see how containers can be used for development purposes.

Have you ever thought about getting your small product into production, but are worried about the cost of the big cloud providers? Or maybe you think your current cloud service is over-architected and costing you too much? Well, in this episode, we interview Michael Kennedy, author of "Talk Python in Production," a new book that guides you through deploying web apps at scale with right-sized engineering.

Since I started my journey with Linux in 1997, I've maybe paid for a handful of applications. I've grown so accustomed to open-source software that when I'm on MacOS and find that I have to pay for something, it takes me aback. What? I have to pay for software? Also: 10 open-source Windows apps I can't live without - and they're all free At the same time, there are certain open-source applications I would pay for, GPL or not. Some of these software titles are just that good, while others I simply depend on.

How do you deploy your Python application without getting locked into an expensive cloud-based service? This week on the show, Michael Kennedy from the Talk Python podcast returns to discuss his new book, "Talk Python in Production." Michael runs multiple Python applications online, including a training site, blog, and two podcasts. While searching for the best solution for hosting his business, he documented his findings in a book.

Like many, I use VS Code to write and manage code. Having recently got into PHP, I needed a means to display the results of my PHP code and discovered that the Live Server extension doesn't include PHP. I then learned that another extension, PHP Server, would allow me to display PHP content; however, I can no longer invoke Live Server by right clicking. It's still installed, but apparently there is a conflict between PHP Server and Live Server.

Minimum 6 GB of dedicated RAM and a multi-core CPU are recommended for optimal performance in a complete Wazuh stack deployment.

The Dockerfile demonstrates a streamlined setup for a Node.js application, starting from the lightweight Node.js 23-alpine image and ensuring the latest npm is installed.

Docker has introduced two new AI-focused tools, the MCP Catalog and Toolkit, aimed at enhancing security and usability in developing agentic applications and fostering a developer-centric ecosystem.

Docker executives wrote in a blog post that discovery of tools is fragmented and core capabilities like security and authentication are still patched together with workarounds.

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