#docker for development

[manavsmo-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.

SB - 9series

[cyborgrhodey]

LOVE working in ops and having to troubleshoot dev's issues that they dont know how to describe and is also their fault

[thelinuxhelp]

How to Install and Use Docker on Ubuntu 22.04

Docker is an open-source containerization platform that allows developers to easily package and deploy applications in a portable and lightweight manner. In this tutorial, we will provide a step-by-step guide on how to install and use Docker on Ubuntu 22.04. Prerequisites Before you proceed, make sure you have Ubuntu 22.04 installed on your system and have a user account with sudo…

[codeonedigest]

(via Develop & Deploy Nodejs Application in Docker | Nodejs App in Docker Container Explained) Full Video Link     https://youtu.be/Bwly_YJvHtQ        Hello friends, new #video on #deploying #running #nodejs #application in #docker #container #tutorial for #api #developer #programmers with #examples is published on #codeonedigest #youtube channel.  @java #java #aws #awscloud @awscloud @AWSCloudIndia #salesforce #Cloud #CloudComputing @YouTube #youtube #azure #msazure    #docker #dockertutorial #nodejs #learndocker #whatisdocker #nodejsandexpressjstutorial #nodejstutorial #nodejsandexpressjsproject #nodejsprojects #nodejstutorialforbeginners #nodejsappdockerfile #dockerizenodejsexpressapp #nodejsappdocker #nodejsapplicationdockerfile #dockertutorialforbeginners #dockerimage #dockerimagecreationtutorial #dockerimagevscontainer #dockerimagenodejs #dockerimagenodeexpress #dockerimagenode_modules 

[bitcoinversus]

CodeCrafters.io Will Teach You How To Build Any Type of Software

CodeCrafters offers a unique platform for developers to deepen their understanding of software engineering by recreating popular development tools from scratch. Participants can build their own versions of technologies such as Redis, Docker, and SQLite using programming languages like Rust, Go, and JavaScript. Image source: codecrafters The primary objective of CodeCrafters is to help…

[surekhatechnology]

Select the best Laravel development tools from PhpStorm, Debugbar, Forge, Dusk, Vapor, Tinker, and Socialite, to build dynamic and scalable web apps.

[jcmarchi]

LocalStack Secures $25M Series A Funding to Give Developers Control Over Cloud Development

New Post has been published on https://thedigitalinsider.com/localstack-secures-25m-series-a-funding-to-give-developers-control-over-cloud-development/

LocalStack Secures $25M Series A Funding to Give Developers Control Over Cloud Development

LocalStack, a leader in local cloud development environments, has announced the successful completion of a $25 million Series A funding round led by Notable Capital, with support from CRV and Heavybit. This investment is set to drive forward LocalStack’s mission to revolutionize cloud development by putting control back into the hands of developers, eliminating the costly and time-consuming reliance on cloud-based testing.

LocalStack’s platform enables developers to run a full AWS environment directly on their laptops. This unique approach accelerates development cycles, cuts down on cloud costs, and is quickly becoming essential in the developer community. LocalStack currently powers over 8 million weekly sessions and has amassed more than 280 million Docker pulls. With a growing customer base of over 900 companies, including industry leaders like SiriusXM and Chime, the platform is proving itself as the go-to choice for local cloud development.

“The centralized nature of cloud computing has created unprecedented complexity and costs for developers, who spend countless hours waiting for cloud-based tests to complete,” said Gerta Sheganaku, co-founder and Co-CEO of LocalStack. “Our platform fundamentally transforms the developer experience by enabling teams to test locally, cutting deployment times from 28 minutes to 24 seconds while significantly reducing AWS spend. We’re putting control back in developers’ hands, giving them the flexibility and speed they need to innovate,” adds Waldemar Hummer, co-founder and Co-CEO of LocalStack.

The funding arrives as organizations increasingly confront rising cloud costs, with annual expenditures already surpassing $79 billion, and grapple with the inefficiencies of cloud-based development. By providing a localized AWS testing environment, LocalStack eliminates the need to spin up cloud resources, replacing them with an isolated sandbox that enables rapid iteration and seamless collaboration. Supporting over 100 AWS services with near-exact emulation, LocalStack gives developers a reliable and cost-effective alternative to cloud environments.

“LocalStack stands out for its rare combination of bottom-up developer love and clear enterprise value,” said Glenn Solomon, Managing Partner at Notable Capital. “With over 56,000 GitHub stars, 25,000 Slack users, and 500+ contributors, LocalStack has built a vibrant community alongside its rapidly growing enterprise customer base. While they’ve established themselves as the de facto standard for AWS local development, their recent preview release for Snowflake showcases their broader vision to revolutionize cloud development across all major platforms. We’re thrilled to partner with Gerta, Waldemar, and the entire LocalStack team as they transform how developers build for the modern multi-cloud world.”

LocalStack’s growth trajectory reflects its dedication to transforming cloud development processes. The company, founded in 2017 as an open-source project, has expanded into a comprehensive platform, boasting over 52,000 GitHub stars and an extensive community of 25,000 Slack users. Rooted in open source, LocalStack’s mission is to give developers complete control over their environments, allowing them to run, test, and debug cloud services locally. This control reduces the complexity, cost, and environmental impact of cloud development, empowering developers to focus on innovation and efficient testing.

With the new funding, LocalStack aims to accelerate its U.S. market presence and invest further in developing new features such as chaos engineering and application resiliency testing. These innovations will continue to enhance developer productivity, freeing up valuable time previously lost to cloud setup and permissions management. By emulating cloud services locally, LocalStack also opens doors to advanced workflows, including seamless collaboration through Cloud Pods, a feature that saves and restores infrastructure states for enhanced team productivity.

LocalStack’s platform has fundamentally altered the development landscape by decoupling AWS development from cloud dependency. By enabling developers to run complete stacks locally, the platform removes the need for sandbox accounts, automates IAM policies, and allows for rapid, risk-free testing. This is especially valuable for engineering teams like that of Xiatech, where Rick Timmis, Head of Engineering, notes, “Our engineering team utilizes LocalStack to provide a complete, localized AWS environment where developers can build, test, profile, and debug infrastructure and code ahead of deployment to the cloud.”

As LocalStack continues to enhance cloud development by focusing on developer experience and efficiency, the company’s commitment to putting developers first and promoting a collaborative, innovative workplace remains central. LocalStack’s technology is not just an emulator; it’s a comprehensive toolset designed to streamline cloud development, enabling faster deployments, reduced AWS costs, and a smoother workflow for global dev teams.

This latest funding round positions LocalStack to further expand its offerings, solidifying its role as a critical asset for teams aiming to innovate without the friction of traditional cloud development constraints. As they look toward a future where cloud development is streamlined and simplified, LocalStack is setting a new standard in the developer-first approach to cloud services.

[radicaltechnologies141]

AWS Training in Pune, Bangalore, and Kerala at Radical Technologies

Start your cloud career with Radical Technologies’ expert-led AWS Training! Our AWS Certification Course provides:

Comprehensive training on scalable deployments and security management Real-time projects, including VMware and Azure migrations to AWS Batches that are flexible for weekdays and weekends in both online and offline forms Corporate training options and hands-on sessions for practical skills Locations: Pune, Bangalore, Kerala, and online Live demos, interview prep, and complete placement support Join Pune’s best AWS course and fast-track your cloud career with industry-ready skills! ls!

[agiledock]

Harnessing Containerization in Web Development: A Path to Scalability

Explore the transformative impact of containerization in web development. This article delves into the benefits of containerization, microservices architecture, and how Docker for web apps facilitates scalable and efficient applications in today’s cloud-native environment.

[manavsmo-blog]

What Is MATLAB?

MATLAB® is a programming platform designed specifically for engineers and scientists to analyze and design systems and products that transform our world. The heart of MATLAB is the MATLAB language, a matrix-based language allowing the most natural expression of computational mathematics.

MATLAB (matrix laboratory) is a fourth-generation high-level programming language and interactive environment for numerical computation, visualization, and programming.

MATLAB is developed by MathWorks

7 Reasons MATLAB Is the Easiest and Most Productive Environment for Engineers and Scientists

Designed for the way you think and the work you do.

MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook.

App Development Tips From Our Experienced Developer.

Professionally Built

MATLAB toolboxes are professionally developed, rigorously tested, and fully documented.

With Interactive Apps

MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work.

And the Ability to Scale

Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques.

MATLAB Capabilities

Data Analysis Explore, model, and analyze data

Graphics Visualize and explore data

Programming Create scripts, functions, and classes

App Building Create desktop and web apps

External Language Interfaces Use MATLAB with Python (Hire Python Developers), C/C++, Fortran, Java, and other languages

Hardware Connect MATLAB to hardware

Parallel Computing Perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and clouds

Web and Desktop Deployment Share your MATLAB programs

MATLAB in the Cloud Run in cloud environments from MathWorks Cloud to public clouds including AWS and Azure

Let’s conclude

MathWorks

Accelerating the pace of engineering and science MathWorks is the leading developer of mathematical computing software for engineers and scientists. Discover…

Thank you for reading, give it a clap or buy me a coffee!

Feel free to get in touch with us.

SB - 9series

[debsdaniel03]

🔴🚀 ¡Próximamente! Curso de Multi Tenant con Django 5 y Docker 🏢✨

Estoy emocionado de anunciar que estoy preparando un nuevo curso sobre Multi Tenant con Django 5. En este curso, aprenderás a crear aplicaciones multi-tenant robustas y escalables utilizando Django 5 y todas las herramientas en sus últimas versiones.

🔍 ¿Qué aprenderás?

❏ Configuración de entornos multi-tenant con entornos aislados y entornos compartidos (sucursales) ❏ Uso de Docker para la contenedorización y despliegue. ❏ Gestión de bases de datos y esquemas. ❏ Implementación de seguridad y autenticación. ❏ Optimización y escalabilidad. ❏ Y mucho más…

Este curso está diseñado para desarrolladores de todos los niveles que quieran llevar sus habilidades de Django al siguiente nivel. ¡No te lo pierdas!

🔔 Suscríbete y activa las notificaciones para no perderte ninguna actualización.

¡Nos vemos en el curso! 🚀

👉 Haz clic aquí para acceder a los cursos con descuento o inscribirte 👈 https://bit.ly/cursos-mejor-precio-daniel-bojorge

[lucidoutsourcingsolutions]

Benefits of Docker with Lucee for Development

[sourceved]

What is Docker and how it works

[horsescary]

this just in on Things That People Say on TikTok That Make Me Mad: tools made for developers should be accessible to non developers I guess???

[robomad]

Django and Docker: Containerizing Applications

Containerizing Django Applications with Docker: A Comprehensive Guide

Introduction Docker is a powerful tool that allows developers to create, deploy, and run applications in containers. Containers are lightweight, portable, and consistent environments that include everything needed to run an application, from the operating system to the code, runtime, libraries, and dependencies. This article will guide you through the process of containerizing a Django…