#docker images

[debsdaniel03]

🚨✂Remover Imágenes Docker 🚢 sin usar o Dangling colgadas 💣

🚨Borrar Imágenes #Docker Sin Usar

Te dejo esta clase 🎁 #Gratis del #Curso Multi #Tenant con #Django y #Docker

🚨🚀 ¡Próximamente! Curso donde Dominarás Multi Tenant con Django 5 y Docker 🐍🐳 🔜

#Python #dockercompose

👉 https://youtu.be/g461CaDmml4 👈

[architectureforcloud]

Getting Started with Docker: Exploring Container and Image Operations

In this blog post, we will dive into the basics of Docker container and image operations. We will explore essential commands, provide examples, and explain the concepts behind these operations. Whether you’re a beginner or looking to expand your Docker knowledge, this guide will equip you with the fundamental skills to work with Docker containers and images effectively. Docker containers are…

[some-teeth-in-a-trench-coat]

(ID in alt text)

Had to paint to not go insane, learned some fun techniques along the way too so that's fun. I'm pretty happy with how it turned out :)

Reblogs are not required but they bring me joy! (if you don't know the difference between reblogging and reposting, ask)

[babacontainsmultitudes]

:]]]

[techdirectarchive]

Kill Containers and remove unused images from Docker Correctly

In this article, we shall discuss how to destroy, that is “Kill Containers and remove unused images from Docker Correctly”. We will be doing this over Portainer and Container Manager. Containers and images that are no longer in use can create clutter, making it harder to manage Docker environments. By removing them, you can streamline the system, keeping only essential resources running. Please…

[wally-b-feed]

Docker Casson, 2024

[virtualizationhowto]

Graylog Docker Compose Setup: An Open Source Syslog Server for Home Labs

Graylog Docker Compose Install: Open Source Syslog Server for Home #homelab GraylogInstallationGuide #DockerComposeOnUbuntu #GraylogRESTAPI #ElasticsearchAndGraylog #MongoDBWithGraylog #DockerComposeYmlConfiguration #GraylogDockerImage #Graylogdata

A really great open-source log management platform for both production and home lab environments is Graylog. Using Docker Compose, you can quickly launch and configure Graylog for a production or home lab Syslog. Using Docker Compose, you can create and configure all the containers needed, such as OpenSearch and MongoDB. Let’s look at this process. Table of contentsWhat is Graylog?Advantages of…

[9seriesservices-blog]

A Brief Guide about Docker for Developer in 2023

What is Docker? Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. Docker is based on the idea of containers, which are a way of packaging software in a format that can be easily run on any platform.

Docker provides a way to manage and deploy containerized applications, making it easier for developers to create, deploy, and run applications in a consistent and predictable way. Docker also provides tools for managing and deploying applications in a multi-container environment, allowing developers to easily scale and manage the application as it grows.

What is a container? A container is a lightweight, stand-alone, and executable package that includes everything needed to run the software, including the application code, system tools, libraries, and runtime.

Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package. It allows developers to package an application with all of its dependencies into a single package, making it easier to deploy and run the application on any platform. This is especially useful in cases where an application has specific requirements, such as certain system libraries or certain versions of programming languages, that might not be available on the target platform.

What is Dockerfile, Docker Image, Docker Engine, Docker Desktop, Docker Toolbox? A Dockerfile is a text file that contains instructions for building a Docker image. It specifies the base image to use for the build, the commands to run to set up the application and its dependencies, and any other required configuration.

A Docker image is a lightweight, stand-alone, executable package that includes everything needed to run the software, including the application code, system tools, libraries, and runtime.

The Docker Engine is the runtime environment that runs the containers and provides the necessary tools and libraries for building and running Docker images. It includes the Docker daemon, which is the process that runs in the background to manage the containers, and the Docker CLI (command-line interface), which is used to interact with the Docker daemon and manage the containers.

Docker Desktop is a desktop application that provides an easy-to-use graphical interface for working with Docker. It includes the Docker Engine, the Docker CLI, and other tools and libraries for building and managing Docker containers.

Docker Toolbox is a legacy desktop application that provides an easy way to set up a Docker development environment on older versions of Windows and Mac. It includes the Docker Engine, the Docker CLI, and other tools and libraries for building and managing Docker containers. It is intended for use on older systems that do not meet the requirements for running Docker Desktop. Docker Toolbox is no longer actively maintained and is being replaced by Docker Desktop.

A Fundamental Principle of Docker: In Docker, an image is made up of a series of layers. Each layer represents an instruction in the Dockerfile, which is used to build the image. When an image is built, each instruction in the Dockerfile creates a new layer in the image.

Each layer is a snapshot of the file system at a specific point in time. When a change is made to the file system, a new layer is created that contains the changes. This allows Docker to use the layers efficiently, by only storing the changes made in each layer, rather than storing an entire copy of the file system at each point in time.

Layers are stacked on top of each other to form a complete image. When a container is created from an image, the layers are combined to create a single, unified file system for the container.

The use of layers allows Docker to create images and containers efficiently, by only storing the changes made in each layer, rather than storing an entire copy of the file system at each point in time. It also allows Docker to share common layers between different images, saving space and reducing the size of the overall image.

Some important Docker commands: – Here are some common Docker commands: – docker build: Build an image from a Dockerfile – docker run: Run a container from an image – docker ps: List running containers – docker stop: Stop a running container – docker rm: Remove a stopped container – docker rmi: Remove an image – docker pull: Pull an image from a registry – docker push: Push an image to a registry – docker exec: Run a command in a running container – docker logs: View the logs of a running container – docker system prune: Remove unused containers, images, and networks – docker tag: Tag an image with a repository name and tag There are many other Docker commands available, and you can learn more about them by referring to the Docker documentation.

How to Dockerize a simple application? Now, coming to the root cause of all the explanations stated above, how we can dockerize an application.

First, you need to create a simple Node.js application and then go for Dockerfile, Docker Image and finalize the Docker container for the application.

You need to install Docker on your device and even check and follow the official documentation on your device. To initiate the installation of Docker, you should use an Ubuntu instance. You can use Oracle Virtual Box to set up a virtual Linux instance for that case if you don’t have one already.

Caveat Emptor Docker containers simplify the API system at runtime; this comes along with the caveat of increased complexity in arranging up containers.

One of the most significant caveats here is Docker and understanding the concern of the system. Many developers treat Docker as a platform for development rather than an excellent optimization and streamlining tool.

The developers would be better off adopting Platform-as-a-Service (PaaS) systems rather than managing the minutia of self-hosted and managed virtual or logical servers.

Benefits of using Docker for Development and Operations:

Docker is being talked about, and the adoption rate is also quite catchy for some good reason. There are some reasons to get stuck with Docker; we’ll see three: consistency, speed, and isolation.

By consistency here, we mean that Docker provides a consistent environment for your application through production.

If we discuss speed here, you can rapidly run a new process on a server, as the image is preconfigured and is already installed with the process you want it to run.

By default, the Docker container is isolated from the network, the file system, and other running processes.

Docker’s layered file system is one in which Docker tends to add a new layer every time we make a change. As a result, file system layers are cached by reducing repetitive steps during building Docker. Each Docker image is a combination of layers that adds up the layer on every successive change of adding to the picture.

The Final Words Docker is not hard to learn, and it’s easy to play and learn. If you ever face any challenges regarding application development, you should consult 9series for docker professional services.

Source:

[sandeep2363]

Use of docker image command and build an image from Docker file

Create, delete, check & inspect images in Docker repository Following are the instruction used in Docker file. ADD – copies a file into the image but also supports tar and remote URL. COPY- copy files into the image. VOLUME- create a mount point as defined when the container is run. ENTRYPOINT – The executable runs when a container is run. EXPOSE: documents the ports that should be…

[not-even-screaming]

How do I explain to people outside of my field that jeff bezos obviouslly has something against me personally.

[pulipuli]

現在有很多工具可以移除背景、只保留圖片的主體。 不過就算背景移除了，旁邊的空白或透明邊緣依然存在。 有沒有快速移除這些邊緣呢？。 ---- # ImageMagick https://legacy.imagemagick.org/discourse-server/viewtopic.php?p=80597&sid=4e9ed2beaaa4aebdb7a1157da4db3f34#p80597。 說到圖片處理，ImageMagick永遠是我們的好夥伴。 用ImageMagick移除多餘邊緣的語法如下：。 [Code...] # Docker APP: Image Trim。 https://github.com/pulipulichen/docker-app-Image-Trim。 我把這個語法做成了Docker APP，就是用Docker跟Node.js來包裝所需套件的小工具。 使用之前必須安裝git、Node.js、Docker(Windows則是推薦安裝Docker Desktop)。 裁切前，旁邊會有很多透明的空白處。 裁切之後，只剩下物件本身囉。 ---- 你用過ImageMagick嗎？ 歡迎在下面分享你的用法喔！ ---- #Docker APP #Image #ImageMagick 看看網頁版全文 ⇨ 用ImageMagick裁除多餘邊緣 / Use ImageMagick to Remove the Image's Margins https://blog.pulipuli.info/2023/01/blog-post_17.html

[lacyc3]

Ansible: Docker image nem frissül build során

Probléma: alkalmazásfejlesztés közben rendszeresen előfordul, hogy a fejlesztés során készülő Docker image-ek tag-je (címkéje) ugyanaz. Ha a Docker image-et Ansible docker_image moduljával készíted, akkor az image nem frissül. Megoldás:

[akubi0w1]

Docker Imageについて

概要

タグ 内容 OS <x.x.x>|latest|- 公式パッケージ alpine 軽量なAlpine Linuxベースのイメージ Alpine Linux bullseye[-slim] Debian11で構成されたイメージ Debian buster[-slim] Debian10で構成されたイメージ Debian stretch[-slim] Debian9で構成されたイメージ Debian jessie[-slim] Debian8で構成されたイメージ Debian windowsservercore windowsサーバ系OSで構築したイメージ windows

詳細

イメージを構築しているOSが以下4種類

公式パッケージ

Alpine Linux (Linuxディストリビューション)

Debian (Linuxディストリビューション)

windows

公式パッケージを使う場合

golang:1.18, golang1.18.5 など、バージョンを指定するもの

タグ 内容 <x.x.x> パッチまで指定 <x.x> マイナーバージョンまで指定、パッチは最新のものになる <x> メジャーバージョンのみ指定、マイナーバージョン、パッチは最新のものになる latest 最新バージョンを指定 - latestと同義

Alpine Linux

軽量重視で作られたLinuxディストリビューション。一部言語では速度が遅くなる場合がある。 パッケージ管理にapkコマンドを使う。

軽量版なので、必要なパッケージやライブラリが無い場合がある。

Debian

Linuxディストリビューション。バージョンごとにコードネームが付けられていて、Dockerイメージのタグにそのコードネームが使われている。

コードネーム バージョン bullseye v11 buster v10 stretch v8 jessie v8

windows

windows専用のサーバOSで構築されている。コンテナをwindows環境にする場合はこれを使う。

Slim

公式とDebian系イメージで用意されている。 更にslimがついているイメージは、使用頻度の低いツールやライブラリを除外したDockerイメージになります。

ref

Docker image(イメージ)の違い:alpine,bullseye, buster, slim, stretch, jessie, slim-buster, windowsservercore, latestどれを選ぶべきか？

[tickfleato]

how to make cool blobby turing patterns in photoshop

i'll preface with i learned the basic loop from skimming a tutorial on youtube, but as someone who prefers written tutorials i'm sure many would appreciate one! also, the second part of this is some of the visual effects i figured out on my own using blending modes and stuff.

i'm using photoshop CS4 on a mac so some buttons and stuff might be in different places on windows and newer photoshop versions but all the actions are the same. my canvas is 1000x1000 pixels.

UPDATES (i'm hoping these'll show up whenever you open the readmore?)

it's possible to do something similar in krita using this plugin, made by the love @arcaedex

it's also possible to do this in photopea, a free browser alternative to photoshop! the results are pretty much identical.

FIRST off you wanna get or make a black and white image of some kind. it has to be one layer. can be noise, a photo, a bunch of lines, whatever. here's mine, just some quick airbrush lines:

now find the actions tab. idk what it looks like in newer versions of photoshop but you probably won't need to dig!

hit the little page thingy to make a new pattern. once you hit 'record', it'll record everything you do. the little square 'stop' icon will end it.

now you want to do a high pass filter. you can mess around with the radius to change the size of your squiggles, but the tutorial had it set to 6. experiment!

now add the 'threshold' adjustment layer. i use the adjustments tab but i think there's also a dropdown menu somewhere. keep it at the default, 128. merge it down. (control or command + E or you can right click it like some kind of weirdo)

and finally, the gaussian blur! the radius of this affects the shape and size of your squiggles as well. i like to keep it around 4.5 but you can mess around with that too.

after that, hit 'stop' on the action you're recording, and then repeat it a bunch of times using the 'play' button, until you have something you like, like this:

WOW!! that was fun!! and only a little tedious thanks to the power of macros. anyway, here's some fun layer blending stuff i like to do. it's with a different pattern cause i made this bit first.

anyway, using a black and white gradient (or a grey base that you do black and white airbrush on), make a layer with the vivid light. this will make the blobs look thicker or thinner.

then, for cool colors, do a gradient map adjustment layer over that:

and finally, my best friend, the overlay layer. just using a gradient here bc i'm lazy, but feel free to experiment with brushes, colors, and blending modes!

NOW GO. MAKE COOL SHIT WITH THE POWER OF MATH. AND SEND IT TO ME

also these are not hard and fast rules PLEASE mess around with them to see what kind of weird shit you can make. here's a gif. as you can see i added some random airblush blobs in the middle of it, for fun.