#run docker on mongodb container

[codeonedigest]

(via Spring Boot Microservices + MongoDB in Docker Containers | Step by step tutorial for Beginners)

Full Video Link:    https://youtu.be/qWzBUwKiCpM

Hi, a new #video on step by step #tutorial for #springboot #microservices running in #docker #container with #mongodb also running in #docker #container is published on #codeonedigest #youtube channel. Easy guide for spring boot microservices project with mongodb in container.

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[souhaillaghchimdev]

Using Docker in Software Development

Docker has become a vital tool in modern software development. It allows developers to package applications with all their dependencies into lightweight, portable containers. Whether you're building web applications, APIs, or microservices, Docker can simplify development, testing, and deployment.

What is Docker?

Docker is an open-source platform that enables you to build, ship, and run applications inside containers. Containers are isolated environments that contain everything your app needs—code, libraries, configuration files, and more—ensuring consistent behavior across development and production.

Why Use Docker?

Consistency: Run your app the same way in every environment.

Isolation: Avoid dependency conflicts between projects.

Portability: Docker containers work on any system that supports Docker.

Scalability: Easily scale containerized apps using orchestration tools like Kubernetes.

Faster Development: Spin up and tear down environments quickly.

Basic Docker Concepts

Image: A snapshot of a container. Think of it like a blueprint.

Container: A running instance of an image.

Dockerfile: A text file with instructions to build an image.

Volume: A persistent data storage system for containers.

Docker Hub: A cloud-based registry for storing and sharing Docker images.

Example: Dockerizing a Simple Python App

Let’s say you have a Python app called app.py: # app.py print("Hello from Docker!")

Create a Dockerfile: # Dockerfile FROM python:3.10-slim COPY app.py . CMD ["python", "app.py"]

Then build and run your Docker container: docker build -t hello-docker . docker run hello-docker

This will print Hello from Docker! in your terminal.

Popular Use Cases

Running databases (MySQL, PostgreSQL, MongoDB)

Hosting development environments

CI/CD pipelines

Deploying microservices

Local testing for APIs and apps

Essential Docker Commands

docker build -t <name> . — Build an image from a Dockerfile

docker run <image> — Run a container from an image

docker ps — List running containers

docker stop <container_id> — Stop a running container

docker exec -it <container_id> bash — Access the container shell

Docker Compose

Docker Compose allows you to run multi-container apps easily. Define all your services in a single docker-compose.yml file and launch them with one command: version: '3' services: web: build: . ports: - "5000:5000" db: image: postgres

Start everything with:docker-compose up

Best Practices

Use lightweight base images (e.g., Alpine)

Keep your Dockerfiles clean and minimal

Ignore unnecessary files with .dockerignore

Use multi-stage builds for smaller images

Regularly clean up unused images and containers

Conclusion

Docker empowers developers to work smarter, not harder. It eliminates "it works on my machine" problems and simplifies the development lifecycle. Once you start using Docker, you'll wonder how you ever lived without it!

[devnews]

Let's Build a Full-Stack App Using the MERN Stack! Part 1: Mongo DB

Where Are We Storing Stuff? Before we code our full-stack MERN (MongoDB, Express, React, and Node.js) application, we need a place to store our data. The best way to do this is to set up a MongoDB instance. We’ll run MongoDB inside a Docker container to keep things simple and easily manageable. Setting Up MongoDB with Docker We’ll use the official MongoDB image from Docker Hub. To pull and run…

[saku-232]

Essential Tools to Take Your Web Development to the Next Level

To take your web development skills to the next level, here are some essential tools that can help:

1. Code Editors and IDEs:

VS Code: A powerful, extensible code editor that supports a wide range of languages, extensions, and debugging tools.

Sublime Text: A fast and feature-rich editor with support for multiple programming languages and a sleek interface.

Atom: An open-source, customizable text editor, ideal for web development.

2. Version Control Systems:

Git: A version control tool to track changes in code and collaborate efficiently with other developers.

GitHub/GitLab/Bitbucket: Platforms for hosting Git repositories and collaborating with teams.

3. Front-End Frameworks:

React.js: A JavaScript library for building dynamic and interactive user interfaces.

Vue.js: A progressive JavaScript framework for building web interfaces.

Angular: A robust framework for creating scalable and structured web apps.

Tailwind CSS: A utility-first CSS framework for building custom designs quickly.

Bootstrap: A popular CSS framework for building responsive and mobile-first websites.

4. Back-End Frameworks:

Node.js: A JavaScript runtime for building scalable server-side applications.

Express.js: A minimal web framework for Node.js, often used for building APIs and web apps.

Django: A high-level Python web framework for building secure and maintainable websites.

Ruby on Rails: A full-stack framework built on Ruby, known for rapid development and ease of use.

5. Database Management:

MySQL: A widely used relational database management system.

MongoDB: A NoSQL database that's flexible and scalable.

PostgreSQL: A powerful, open-source object-relational database system.

Firebase: A cloud-based real-time database with simple authentication and data synchronization.

6. Package Managers:

npm: Node.js package manager for managing JavaScript libraries and dependencies.

Yarn: An alternative package manager for JavaScript with a focus on performance and reliability.

7. API Tools:

Postman: A powerful tool for testing and interacting with APIs.

Swagger: An open-source framework for API documentation, design, and testing.

8. Task Runners & Module Bundlers:

Webpack: A static module bundler for JavaScript, CSS, and other assets.

Gulp: A task runner used for automating repetitive development tasks.

Parcel: A zero-config bundler that is easy to use and fast.

9. CSS Preprocessors:

Sass: A CSS preprocessor that extends CSS with variables, nested rules, and functions.

Less: A preprocessor with features like variables and functions to make CSS more manageable.

10. Testing Tools:

Jest: A testing framework for JavaScript, commonly used for testing React apps.

Mocha: A flexible JavaScript testing framework for Node.js.

Cypress: An end-to-end testing framework for web applications.

Selenium: A tool for automating web browsers, useful for functional and UI testing.

11. Containerization & Deployment:

Docker: A platform for building, running, and shipping applications inside containers.

Kubernetes: An orchestration platform for automating the deployment, scaling, and management of containerized applications.

Netlify: A platform for continuous deployment of web apps with automatic scaling.

Vercel: A platform that provides serverless deployment and front-end hosting.

12. UI/UX Design Tools:

Figma: A collaborative interface design tool for creating web and app prototypes.

Adobe XD: A vector-based tool for designing and prototyping user experiences.

Sketch: A design tool for web and mobile interfaces, available for macOS.

13. Collaboration Tools:

Slack: A messaging platform for team communication and collaboration.

Trello: A task management tool for organizing and prioritizing tasks in a project.

Asana: A work management platform that helps teams plan, organize, and execute projects.

Using these tools effectively can streamline your workflow, help you collaborate better with teams, and enhance the quality of your web development projects.

[acquaintsofttech]

MEAN Stack Development: 15 tools to use for your project

Introduction

The MEAN stack involves MongoDB, Express.js, Angular, and Node.js; this is a powerful framework designed to build dynamic web applications. To handle the fast-evolving landscape of web development, using various tools shall be necessary to help developers be more productive, improve their workflows, and ensure quality code.

These tools are discussed in detail below, along with their current pricing.

15 tools for MEAN Stack development

1. Visual Studio Code (VSCode)

What gives Visual Studio Code such popularity among developers is its lightness and rich feature sets.

These are some of them.

IntelliSense: Provides intelligent completions depending on the type of variable, function definition, and modules imported.

Terminal: It lets developers run commands directly from the editor.

Extensions: There is a whole library of extensions tailored to JavaScript frameworks and that enhance functionality with tools for debugging, linting, and version control.

Price: Free

2. Postman

Postman is an essential tool for API development and testing.

Key Features:

Sending Requests: You can send HTTP requests to your Express.js backend with ease.

Inspecting Responses: See responses from your backend server in various formats from JSON to XML and make sure that everything works like you expect it should.

Automated Tests: Grab test scripts that auto-run any time a request is sent to prove that the functionality of your API works.

Pricing: Offers free plan; paid plans $12/user/month as a feature for larger features.

3. MongoDB Compass

MongoDB Compass: A graphical user interface for database administration on MongoDB.

Key Features:

Visual Data Exploration: It is intuitive to navigate the collections and documents.

Query Performance Insights: Direct analysis of query performance and optimizes the indexes from the interface

Schema Visualization: Visualize the structure of your data, which goes a long way in helping design better databases

Price: It's free of cost as well.

4. Angular CLI

Angular Command Line Interface is a powerful tool that streamlines development for Angular applications.

Main Features:

Project Scaffolding: Bootstrap new projects with a structured structure in a streamlined process.

Code Generation: Generate most of the components, services, modules, and more to delete boiler-plate code automatically.

Build Optimisation: You can easily build and deploy apps with automatic production optimisations.

Pricing: Free

5. Node.js Package Manager (npm)

npm is the default package manager for Node.js and any project will have to depend on it.

Key Features:

Dependency Management: Installation, update, and maintenance of third-party libraries and modules.

Custom Scripts: Run tests or build your application directly from scripts in the package.json file.

Version Control: Keep track of versions of packages to ensure compatibility on different environments

Pricing: Free

6. Git and GitHub

Version control is an important part of collaborative software development

Main Features:

Tracking changes made to the codebase

Bringing features into your codebase independently of other changes without having an impact on the main codebase until when you are ready to merge.

Collaboration Tools: Simplify team collaboration with pull requests, code review, and issue tracking.

Pricing: Git is free; GitHub offers free accounts with paid plans starting at $4/user/month for extra features.

7. Docker

Docker enables programmers to develop applications as containers that run consistently in different environments.

Key Features:

Environment Consistency: Applications will work similarly on development, testing, and even on deployment environments.

Isolation of Dependencies : Every application runs inside its own container without conflicting dependencies.

Simplified Deployment: Deploy applications quickly by packaging them with all necessary dependencies.

Pricing: Free tier available; paid plans starting at $5/month for extra features.

8. Webpack

Webpack is a module bundler that optimizes JavaScript files for production use.

Key Features:

Code Splitting: Take big codebases and break them into smaller chunks to load only on demand, improving performance.

Asset Management: Manage stylesheets, images, and other assets alongside your JavaScript files.

Hot Module Replacement (HMR): This module update can take place live with no need to entirely refresh the page when building.

Pricing: It is free.

9. MochaJS

MochaJS is an adaptive testing framework for Node.js application that is specifically designed for asynchronous testing.

Main Features:

Test Suite Management: Organize tests in suites for easy management

Rich Reporting: Generate detailed report on results from the test

Comes with a full suite of assertion libraries; Chai or SinonJS can couple well with it to be able to increase the capabilities of the test.

Pricing: Free

10. Chai

As an assertion library widely used in conjunction with MochaJS, Chai provides:

Key Features

Flexible Assertion Styles: Multiple styles can be used with developers (should, expect, assert).

Plugins Support: Extend functionality with plugins, for example, Chai-as-promised for promise testing or Chai-http for HTTP assertions.

Pricing: Free.

11. ESLint

To ensure code quality and consistency between projects, ESLint-the static code analysis tool-is a must among the list:

Key Features

Linting Rules Configuration: Configure rules according to team standards or needs of a project.

Real-time Feedback:Identify issues as you code in your editor.

Integration with CI/CD Pipelines: Prevent merging of low-quality code into the main branch with automated checks.

Pricing: Free.

12. Swagger

Use Swagger (OpenAPI) for API documentation and testing with these core features:

Automated generation of interactive documentation: Create interactive API documentation directly from annotations in your code.

Testing interface for APIs: Test endpoints directly from the documentation interface.

Client SDK Generation: Generates client libraries in languages of their choice based on the API spec.

Pricing: The free tier; paid plans starting at $75/mo for advanced features.

13. PM2

It is a process manager for Node.js applications. It provides the following key features:

Process Monitoring and Management: Application processes are automatically restarted in case they crash for continuous running.

Load Balancing Support: Incoming traffic is spread out over a number of instances of an application.

Log Management Features: Collates all logs from different instances into one page.

Pricing: Free; paid plans start at $15/month for additional features.

14. Figma

Utilizing Figma for design collaboration in MEAN stack projects encompasses:

Key Features:

Collaborative Features in Real-Time: It allows designers and developers to collaborate on UI/UX designs.

Design Prototyping: Interactive prototypes can be created that may be shared for feedback purposes prior to actual implementation.

Pricing: Offers a free plan; paid plans from $12/user/month for access to more advanced functionalities.

15. Robo 3T

Other Gui tools for the management of MongoDB include Robo 3T:

Key Features:

User-friendly Interface: Makes interactions with the MongoDB database easier with an intuitive Graphical interface.

Query Building Tools: Features visual query builders that make even complex queries easier to create and are much easier, regardless of knowing the command line.

Pricing: Free

Best Practices for MEAN Stack Development

In addition to utilizing essential tools, following best practices can significantly enhance your MEAN stack development process. Below are some key practices every developer should consider:

Modular Architecture Break down applications into smaller, reusable modules or components. Benefits: Enhances maintainability and reusability of code, making it easier to manage and test.

Environment Configuration Use environment variables to manage configuration settings for different environments (development, testing, production). Benefits: Improves security and flexibility by keeping sensitive information out of the codebase.

Version Control Utilize Git for version control to track changes and collaborate effectively. Benefits: Facilitates collaboration, allows rollback of changes, and maintains a history of the project.

Code Reviews Implement regular code reviews within the team to ensure code quality and adherence to standards. Benefits: Helps catch bugs early, promotes knowledge sharing, and maintains coding standards.

Automated Testing Write unit tests and integration tests using frameworks like Mocha and Chai. Benefits: Ensures code reliability and reduces the likelihood of introducing bugs during development.

API Documentation Use tools like Swagger to document APIs clearly and interactively. Benefits: Enhances collaboration between frontend and backend teams and serves as a reference for users.

Error Handling Implement comprehensive error handling throughout the application. Benefits: Improves user experience by providing informative error messages and prevents application crashes.

Performance Optimization Monitor application performance and optimize database queries and server response times. Benefits: Enhances user experience by reducing load times and improving responsiveness.

Security Best Practices Follow security best practices such as input validation, sanitization, and using HTTPS. Benefits: Protects applications from common vulnerabilities like SQL injection and XSS attacks.

Continuous Integration/Deployment (CI/CD) Implement CI/CD pipelines using tools like Jenkins or GitHub Actions for automated testing and deployment. Benefits: Streamlines the deployment process, reduces manual errors, and ensures consistent delivery of updates.

How can Acquaint Softtech help?

Acquaint Softtech is an outsourcing IT company, offering two services: software development outsourcing and IT staff augmentation. We are proud of developing new applications within the framework of Laravel, since we are an official Laravel partner.

The best option to hire remote developers for your company is Acquaint Softtech. With the help of our accelerated onboarding procedure, developers become a part of your current team in 48 hours at most.

We are also your best bet for any outsourced software development work because of our $15 hourly fee. To fulfill your requirement for specialist development, we can assist you in hiring remote developers, hiring MEAN stack developers, hiring MERN stack developers, and outsourced development services. Now let's collaborate to grow your company to new heights.

In addition, Acquaint softtech provides Custom Software Development services and On-demand app development services.

Wrapping Up!

Using these tools with best practices in your development will greatly enhance the productivity of the developers, intra-team coordination, and quality of the code being delivered. Leverage this affordably available resource, most of them free to keep your developers up-to-date while easily adapting to changes in project requirements to end up building a robust MEAN stack web application. You are welcome to customize each segment!

[smgoi]

Essential Tools and Frameworks Every Computer Science Engineer Should Know

The right tools can empower engineers to work more efficiently and develop innovative solutions. Just as a skilled artist has a preferred set of brushes and colors, a computer science engineer has essential tools that help in coding, data analysis, AI development, and more.

At St. Mary’s Group of Institutions, Hyderabad, we prepare our students with practical knowledge in computer science engineering, CSE-AIML, and diploma programs in computer engineering and embedded systems. Here are some of the top tools and frameworks that every budding computer science engineer should be familiar with.

Git and GitHub

One of the first tools every CS engineer needs is Git, a version control system that tracks changes to code over time. Git helps developers work collaboratively, manage large projects, and maintain a history of changes. GitHub takes this to the next level by offering an online platform for storing and sharing code repositories. It’s especially useful for team projects, where multiple contributors may be working on the same codebase.

Why It’s Important:

Allows collaboration across teams

Keeps track of code changes

Enables seamless rollback to previous versions

Visual Studio Code (VS Code)

A powerful yet lightweight code editor, VS Code supports numerous programming languages and is highly customizable with plugins for different coding needs. Whether it’s debugging, syntax highlighting, or version control integration, VS Code provides a well-rounded environment that streamlines coding tasks.

Why It’s Important:

Supports multiple languages (Java, Python, C++)

Easy to customize with extensions

Strong integration with Git for version control

Docker

Docker has revolutionized software development by allowing applications to run in isolated environments known as containers. It’s essential for engineers working on large-scale projects because it ensures code works consistently across different machines, making it a favorite for deployment.

Why It’s Important:

Promotes consistent development environments

Simplifies application deployment

Essential for modern DevOps practices

4. TensorFlow and PyTorch – Machine Learning Frameworks

For students interested in AI and machine learning, TensorFlow and PyTorch are must-have frameworks. TensorFlow, developed by Google, and PyTorch, developed by Facebook, provide a comprehensive suite of tools for building, training, and deploying machine learning models.

Why They’re Important:

Simplify complex ML and AI model development

Provide pre-built models for quick deployment

Widely used in AI research and industry projects

5. Jupyter Notebook – Data Science Tool

For anyone working with data, Jupyter Notebook is an invaluable tool that supports data analysis, visualization, and exploration within a single environment. With Jupyter, students can write and execute Python code in blocks, making it ideal for prototyping and exploring data.

Why It’s Important:

Great for visualizing data in real time

Simplifies data analysis workflows

Supports inline visualization with libraries like Matplotlib and Seaborn

Kubernetes

As software systems become more complex, Kubernetes offers a solution for managing clusters of containers, automating deployment, and scaling applications. It’s a powerful tool that helps engineers manage containerized applications across multiple servers.

Why It’s Important:

Essential for managing large-scale, containerized applications

Automates deployment, scaling, and maintenance

Vital in cloud-native development environments

SQL and NoSQL Databases – Data Management

Database management is a core aspect of computer science, and knowledge of both SQL (Structured Query Language) and NoSQL (Non-relational) databases is essential. MySQL and PostgreSQL are popular SQL databases, while MongoDB and Cassandra are prominent NoSQL databases.

Why They’re Important:

Allow efficient data storage, retrieval, and management

Enable flexible data structuring with NoSQL

Important for back-end development and data-driven applications

Linux

While not a specific tool, knowledge of Linux and its command-line interface is crucial for any CS engineer. Linux is widely used in servers and development environments due to its stability, security, and customization options. Being familiar with Linux commands can improve productivity and help with server management.

Why It’s Important:

Provides a stable, secure platform for development

Widely used in enterprise and cloud environments

Essential for understanding system-level operations

Ansible – Configuration Management

Ansible is an open-source tool for configuration management, automation, and orchestration. It allows engineers to manage IT infrastructure, set up software environments, and handle deployment, all from one platform. It’s particularly useful for system administrators and DevOps engineers.

Why It’s Important:

Simplifies repetitive tasks like setting up servers

Increases productivity in managing infrastructure

Widely used for automating configurations in cloud computing

MATLAB – For Mathematical Computing

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. It’s especially popular in fields that require complex mathematical computations, like embedded systems and engineering.

Why It’s Important:

Supports extensive mathematical functions and plotting

Useful for simulation and prototyping

Essential in fields that require intensive numerical analysis

Apache Spark – Big Data Processing

Apache Spark is a powerful tool for handling and processing large datasets, especially in real-time. It’s highly efficient and is used for tasks like data cleaning, machine learning, and stream processing. For students interested in big data, learning Spark can open doors to data engineering and data science careers.

Why It’s Important:

Enables real-time data processing

Handles large volumes of data with speed and efficiency

Important for big data and data analytics projects

Postman – API Testing Tool

APIs (Application Programming Interfaces) are critical for building modern applications. Postman is a tool that allows engineers to design, test, and document APIs. It’s essential for back-end and full-stack developers to ensure that their APIs function correctly before deploying them.

Why It’s Important:

Simplifies API testing and development

Supports automated testing with scripting

Enhances collaboration with team features

Preparing Students with Industry-Relevant Skills

At St. Mary’s Group of Institutions, Hyderabad, we understand the importance of practical experience in learning. By introducing students to these tools and frameworks, we prepare them for careers in software development, data science, AI, and more.

Through hands-on labs, projects, and collaborative exercises, our curriculum ensures students are ready to tackle real-world challenges with the confidence and skills that top companies seek in computer science professionals.

Conclusion: Choosing the Right Tools for Your Path

Each of these tools plays a significant role in various areas of computer science engineering. Whether you’re passionate about data science, AI, software development, or system administration, mastering these tools can give you a strong foundation and a competitive edge.

For students at St Mary's Group of Institutions, Best Engineering College in Hyderabad, these tools aren’t just names on a syllabus—they’re powerful resources that open doors to innovation, allowing them to become the engineers who shape tomorrow’s technology

[technology-moment]

What Are the Tools Used to Develop Software?

Software development is a complex process that involves various tools tailored for different stages and tasks. Here’s a comprehensive overview of the key tools commonly used in software development:

1. Integrated Development Environments (IDEs)

IDEs are essential for writing, testing, and debugging code. Some popular options include:

Visual Studio: Great for .NET applications.

Eclipse: Widely used for Java development.

IntelliJ IDEA: Preferred by many for its smart coding assistance.

2. Version Control Systems

Version control systems help developers manage changes to the codebase, facilitating collaboration. Key tools include:

Git: The most widely used system, often paired with platforms like GitHub and GitLab.

Subversion (SVN): An older but still utilized version control system.

3. Build Tools

These tools automate the process of compiling source code into binary code. Notable examples are:

Maven: Primarily for Java projects, it manages project dependencies and builds.

Gradle: An advanced build tool that is versatile and used for various languages.

4. Continuous Integration/Continuous Deployment (CI/CD) Tools

CI/CD tools streamline the integration and deployment of code changes, ensuring that software is delivered reliably. Popular options include:

Jenkins: An open-source automation server.

CircleCI: Known for its ease of use and flexibility.

5. Testing Frameworks

Automated testing is crucial for ensuring software quality. Common testing frameworks include:

JUnit: For unit testing in Java.

Selenium: For web application testing.

PyTest: A robust framework for Python.

6. Containerization and Virtualization Tools

These tools help in creating isolated environments for development and deployment:

Docker: Simplifies the process of running applications in containers.

Kubernetes: Used for automating the deployment, scaling, and management of containerized applications.

7. Collaboration and Project Management Tools

Effective teamwork and project management are key to successful software development. Some popular tools include:

Jira: For issue tracking and agile project management.

Trello: A visual tool for organizing tasks.

Slack: For team communication.

8. Database Management Systems

Databases are crucial for storing and managing data. Commonly used systems include:

MySQL: A popular relational database.

MongoDB: A leading NoSQL database, favored for its flexibility.

Conclusion

Choosing the right tools depends on the specific needs of your project, team size, and technology stack. By leveraging these tools effectively, developers can enhance productivity, improve collaboration, and deliver high-quality software.

Further Reading

For those looking to dive deeper into software development tools, consider exploring resources like:

[qcs01]

Ansible and Docker: Automating Container Management

In today's fast-paced tech environment, containerization and automation are key to maintaining efficient, scalable, and reliable infrastructure. Two powerful tools that have become essential in this space are Ansible and Docker. While Docker enables you to create, deploy, and run applications in containers, Ansible provides a simple yet powerful automation engine to manage and orchestrate these containers. In this blog post, we'll explore how to use Ansible to automate Docker container management, including deployment and orchestration.

Why Combine Ansible and Docker?

Combining Ansible and Docker offers several benefits:

Consistency and Reliability: Automating Docker container management with Ansible ensures consistent and reliable deployments across different environments.

Simplified Management: Ansible’s easy-to-read YAML playbooks make it straightforward to manage Docker containers, even at scale.

Infrastructure as Code (IaC): By treating your infrastructure as code, you can version control, review, and track changes over time.

Scalability: Automation allows you to easily scale your containerized applications by managing multiple containers across multiple hosts seamlessly.

Getting Started with Ansible and Docker

To get started, ensure you have Ansible and Docker installed on your system. You can install Ansible using pip:  pip install ansible

And Docker by following the official Docker installation guide for your operating system.

Next, you'll need to set up an Ansible playbook to manage Docker. Here’s a simple example:

Example Playbook: Deploying a Docker Container

Create a file named deploy_docker.yml:

---

- name: Deploy a Docker container

  hosts: localhost

  tasks:

    - name: Ensure Docker is installed

      apt:

        name: docker.io

        state: present

      become: yes

    - name: Start Docker service

      service:

        name: docker

        state: started

        enabled: yes

      become: yes

    - name: Pull the latest nginx image

      docker_image:

        name: nginx

        tag: latest

        source: pull

    - name: Run a Docker container

      docker_container:

        name: nginx

        image: nginx

        state: started

        ports:

          - "80:80"

In this playbook:

We ensure Docker is installed and running.

We pull the latest nginx Docker image.

We start a Docker container with the nginx image, mapping port 80 on the host to port 80 on the container.

Automating Docker Orchestration

For more complex scenarios, such as orchestrating multiple containers, you can extend your playbook. Here’s an example of orchestrating a simple web application stack with Nginx, a Node.js application, and a MongoDB database:

---

- name: Orchestrate web application stack

  hosts: localhost

  tasks:

    - name: Ensure Docker is installed

      apt:

        name: docker.io

        state: present

      become: yes

    - name: Start Docker service

      service:

        name: docker

        state: started

        enabled: yes

      become: yes

    - name: Pull necessary Docker images

      docker_image:

        name: "{{ item }}"

        tag: latest

        source: pull

      loop:

        - nginx

        - node

        - mongo

    - name: Run MongoDB container

      docker_container:

        name: mongo

        image: mongo

        state: started

        ports:

          - "27017:27017"

    - name: Run Node.js application container

      docker_container:

        name: node_app

        image: node

        state: started

        volumes:

          - ./app:/usr/src/app

        working_dir: /usr/src/app

        command: "node app.js"

        links:

          - mongo

    - name: Run Nginx container

      docker_container:

        name: nginx

        image: nginx

        state: started

        ports:

          - "80:80"

        volumes:

          - ./nginx.conf:/etc/nginx/nginx.conf

        links:

          - node_app

Conclusion

By integrating Ansible with Docker, you can streamline and automate your container management processes, making your infrastructure more consistent, scalable, and reliable. This combination allows you to focus more on developing and less on managing infrastructure. Whether you're managing a single container or orchestrating a complex multi-container environment, Ansible and Docker together provide a powerful toolkit for modern DevOps practices.

Give it a try and see how much time and effort you can save by automating your Docker container management with Ansible!

For more details click www.qcsdclabs.com 

[ketan-patel19]

Essential Tools for High-Quality Web Development Services

For web development services, having the right set of tools is crucial to streamline the development process, enhance productivity, and ensure top-quality outputs. Here are some recommended tools across different aspects of website development services:

1. Code Editors and IDEs

Visual Studio Code (VS Code): A lightweight yet powerful code editor with built-in Git support and a wide range of extensions.

Sublime Text: A fast, feature-rich code editor with extensive customization options.

JetBrains WebStorm: A robust IDE specifically designed for JavaScript development, offering powerful features for modern frameworks.

2. Version Control

Git: A distributed version control system essential for tracking changes and collaborating on code.

GitHub: A platform for hosting Git repositories, code collaboration, and project management.

GitLab: A comprehensive DevOps platform offering Git repository management, CI/CD, and more.

3. Front-end Development

React: A popular JavaScript library for building user interfaces.

Angular: A powerful framework for building dynamic web applications.

Vue.js: A progressive JavaScript framework for building user interfaces.

Bootstrap: A front-end framework for developing responsive and mobile-first websites, crucial for any website development service.

4. Back-end Development

Node.js: A JavaScript runtime for building scalable server-side applications.

Django: A high-level Python web framework that encourages rapid development and clean, pragmatic design.

Laravel: A PHP framework known for its elegant syntax and extensive feature set.

5. Database Management

MySQL: A widely-used relational database management system.

PostgreSQL: An advanced open-source relational database system with a strong reputation for reliability and feature robustness.

MongoDB: A popular NoSQL database for storing and retrieving large volumes of data, often used in web development services.

6. API Development

Postman: A collaboration platform for API development, testing, and documentation.

Swagger: Tools for designing, building, documenting, and consuming RESTful web services.

7. Containerization and Orchestration

Docker: A platform for developing, shipping, and running applications in containers.

Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.

8. CI/CD Tools

Jenkins: An open-source automation server for continuous integration and delivery.

CircleCI: A CI/CD service that supports rapid software development and publishing.

Travis CI: A CI/CD service used to build and test software projects hosted on GitHub.

9. Project Management and Collaboration

Jira: A project management tool for planning, tracking, and managing agile software development projects.

Trello: A visual collaboration tool that creates a shared perspective on any project.

Slack: A messaging app for teams that supports collaboration through channels, direct messages, and integrations with other tools.

10. Design and Prototyping

Adobe XD: A vector-based tool for designing and prototyping user experiences for web and mobile apps.

Figma: A collaborative interface design tool that allows multiple designers to work simultaneously.

Sketch: A digital design toolkit for macOS focused on UI/UX design.

11. Performance and Testing

Selenium: A suite of tools for automating web browsers for testing purposes.

Lighthouse: An open-source tool for auditing web performance, accessibility, SEO, and more.

Jest: A JavaScript testing framework designed to ensure the correctness of any JavaScript codebase, important for website development services.

12. Security

OWASP ZAP: An open-source web application security scanner to find security vulnerabilities in web applications.

Burp Suite: A suite of tools for testing web security, including a proxy, scanner, and intruder.

13. Monitoring and Analytics

Google Analytics: A powerful tool for tracking and analyzing website traffic and user behavior.

New Relic: A suite of performance monitoring tools to observe application performance, infrastructure, and user experience.

Datadog: A monitoring and security platform for cloud applications, essential for maintaining professional web development services.

These tools can help streamline your web development services, improve productivity, ensure high-quality outputs, and maintain secure and efficient applications. Depending on your specific project requirements and team preferences, you can choose the tools that best fit your web development service workflow. For those looking to enhance their website development services, these tools are indispensable in creating robust, high-performing websites that meet client needs and industry standards.

[mesaimat]

Top Software Tools and Technologies for MCA Students

The Master of Computer Applications (MCA) program is designed to equip students with the skills and knowledge needed to excel in the IT industry. To succeed in this dynamic field, it’s essential for MCA students to be proficient in a range of software tools and technologies. Here’s a look at some of the top software tools and technologies that MCA students should familiarize themselves with to stay competitive and industry-ready.

Integrated Development Environments (IDEs) Visual Studio Code: A versatile, open-source IDE developed by Microsoft, ideal for web development and supporting numerous extensions for various programming languages. Eclipse: Popular for Java development, Eclipse offers extensive plugins that cater to other languages and development needs. PyCharm: Specifically designed for Python, PyCharm enhances productivity with features like code completion, inspections, and a powerful debugger.

Version Control Systems Git: An essential tool for source code management, Git allows multiple developers to work on a project simultaneously. Platforms like GitHub, GitLab, and Bitbucket provide cloud repositories and collaboration tools. SVN (Apache Subversion): Though less common today, SVN is still used in some organizations and is good to know for understanding different version control methodologies.

Database Management Systems MySQL: A widely used relational database management system, MySQL is crucial for understanding SQL and handling large datasets. PostgreSQL: Known for its advanced features and compliance with standards, PostgreSQL is another critical tool for database management. MongoDB: A NoSQL database that’s perfect for working with unstructured data, MongoDB is increasingly relevant in the era of big data.

Programming Languages Java: A foundational language for many MCA programs, Java is essential for learning object-oriented programming. Python: Renowned for its simplicity and versatility, Python is extensively used in web development, data science, and AI. JavaScript: Essential for web development, JavaScript enables dynamic and interactive user experiences.

Web Development Frameworks React.js: A JavaScript library for building user interfaces, React.js is maintained by Facebook and widely used in the industry. Angular: Developed by Google, Angular is a robust framework for building web applications. Django: Framework for rapid development and clean, pragmatic web design based on Python.

Data Science and Machine Learning TensorFlow: An open-source platform for machine learning, TensorFlow is developed by the Google Brain team. SciPy and NumPy: Python libraries for scientific computing and numerical operations, essential for data analysis. Pandas: Python library for manipulating and analyzing data.

Project Management and Collaboration Tools Jira: A tool for agile project management, Jira helps in tracking bugs, tasks, and project progress. Trello: A flexible project management tool that uses boards, lists, and cards to organize tasks and collaborate with team members. Slack: A communication platform that integrates with other tools, facilitating seamless team collaboration.

Cloud Platforms Amazon Web Services (AWS): A comprehensive cloud platform offering a range of services from computing power to storage. Microsoft Azure: Another leading cloud platform, Azure supports a variety of cloud services and integrates well with Microsoft tools. Google Cloud Platform (GCP): Known for its strong data and machine learning services, GCP is a valuable tool for cloud-based projects.

DevOps Tools Docker: A tool for creating, deploying, and running applications in containers, Docker ensures that software runs consistently across different environments. Kubernetes: Automates application container deployment, scaling, and operation using open-source code. Jenkins: A continuous integration and continuous delivery (CI/CD) tool that automates parts of the software development process.

Cybersecurity Tools Wireshark: A network protocol analyzer that helps in troubleshooting and analyzing network traffic. Nmap: A network scanning tool used for security auditing and network discovery. Burp Suite: A set of tools for testing web application security. Conclusion Mastering these tools and technologies will provide MCA students with a strong foundation to build successful careers in the IT industry. Keeping up with the latest developments and continuously honing technical skills is crucial in this fast-evolving field. By integrating these tools into their education and projects, MCA students can ensure they are well-prepared for the challenges and opportunities that lie ahead. Know more visit : Best MCA Course in Kerala

[franklinbose]

10 Full Stack Development Tools

Visual Studio Code: A lightweight, yet powerful source code editor developed by Microsoft. It supports syntax highlighting, debugging, and extensions for various programming languages.

Node.js: An open-source, server-side JavaScript runtime environment that allows developers to build scalable and fast network applications. It's commonly used for building the backend of web applications.

React.js: A JavaScript library for building user interfaces, particularly for single-page applications. It's maintained by Facebook and a community of developers and is known for its component-based architecture.

Angular: A TypeScript-based open-source web application framework led by the Angular Team at Google. It's used for building dynamic web applications with features like data binding, dependency injection, and modular development.

Express.js: A minimal and flexible Node.js web application framework that provides a robust set of features for web and mobile applications. It's often used as the backend framework in the MEAN stack (MongoDB, Express.js, Angular, Node.js).

MongoDB: A NoSQL database program that uses a document-oriented data model. It's known for its flexibility and scalability and is commonly used in full stack development for storing and managing data.

MySQL: An open-source relational database management system that uses Structured Query Language (SQL). It's a popular choice for full stack developers due to its reliability, scalability, and wide support.

Git: A distributed version control system used for tracking changes in source code during software development. It allows multiple developers to collaborate on projects efficiently and is essential for managing code in full stack development.

Docker: A platform for developing, shipping, and running applications in containers. Docker containers provide a consistent environment for applications to run in, making it easier to deploy and manage software across different environments.

Webpack: A module bundler for JavaScript applications. It's commonly used in full stack development to bundle JavaScript files for usage in a browser, along with other assets like CSS, images, and fonts

[codeonedigest]

Run Nestjs Microservices & Mongo Database in Docker Containers | #docker...Full Video Link -       https://youtu.be/g3pRQZSP1rU Check out new video about Running Nestjs #Microservices in Docker Container with #Mongo DB on the #CodeOneDigest YouTube channel! Learn to setup #nestjs project with dependencies. Learn to create #docker image of nestjs project. Learn to connect nestjs application with mongo database. #mongodb #dockerimage #dockerfile@nestframework @nodejs @typescript @Docker @MongoDB @JavaScript @dotenvx @npmjs @vscodetips @getpostman #nestjs

[priya-joshi]

A Comprehensive Guide to Essential Tools for Full Stack Developers

In the ever-evolving world of web development, full stack developers play a pivotal role. They are responsible for both the front-end and back-end of web applications, requiring a versatile set of tools to excel in their roles. In this comprehensive guide, we'll explore a wide range of common tools that every full stack developer should consider using to build robust, efficient, and scalable applications. We will delve deep into each tool category, offering insights and recommendations to help you make informed choices in your development journey.

Integrated Development Environments (IDEs)

Visual Studio Code (VS Code): VS Code is a highly popular, free, and open-source code editor developed by Microsoft. Its extensive library of extensions makes it a versatile choice for working with various programming languages. Whether you're coding in JavaScript, Python, Java, or any other language, VS Code offers an excellent development experience.

WebStorm: WebStorm, developed by JetBrains, is an ideal choice for JavaScript and Node.js development. It excels in providing code completion, intelligent code analysis, and robust debugging features. For full stack developers working extensively with JavaScript, WebStorm is a powerful ally.

Front-End Development

HTML/CSS/JavaScript: These fundamental technologies form the core of front-end development. HTML is used for structuring web content, CSS for styling, and JavaScript for interactivity.

React, Angular, or Vue.js: Full stack developers often rely on popular JavaScript libraries/frameworks to build dynamic and responsive user interfaces. React, Angular, and Vue.js are among the top choices, each offering its unique strengths.

Back-End Development:

Node.js: Node.js is a server-side runtime that enables you to use JavaScript on the server. It is known for its non-blocking, event-driven architecture, making it suitable for building scalable and high-performance applications.

Python, Ruby, Java, or PHP: Depending on your project's requirements and your personal preferences, you can choose from a variety of programming languages for back-end development. Python, Ruby, Java, and PHP are common choices, each with its ecosystem and strengths.

Databases

MySQL, PostgreSQL, MongoDB: These relational and NoSQL databases offer flexibility in data modeling and are commonly used for various web applications.

Redis: Redis is a powerful in-memory data store that is often used for caching frequently accessed data. It can significantly improve the performance of web applications by reducing database load.

Containerization and Orchestration

Docker: Docker is a leading containerization tool that packages applications and their dependencies into isolated containers. This approach ensures consistency across different environments and simplifies deployment.

Kubernetes: Kubernetes is an orchestration platform that automates the deployment, scaling, and management of containerized applications. It is highly valuable when dealing with complex, containerized microservices architectures.

Testing and Debugging

Jest, Mocha, Chai (for JavaScript): These testing frameworks help you write and run automated tests for your code, ensuring that it functions as expected.

Postman: Postman is a popular tool for testing APIs. It allows you to create and execute API requests, automate testing, and perform detailed response validation.

Debugging tools in IDEs: Integrated debugging features in IDEs like VS Code and WebStorm make it easier to identify and resolve issues in your code during development.

Deployment and Continuous Integration/Continuous Deployment (CI/CD)

Jenkins, Travis CI, GitLab CI/CD: These tools enable you to automate building, testing, and deploying your applications, ensuring code changes are integrated and deployed smoothly.

Heroku, AWS, Azure, Google Cloud Platform: Cloud providers offer robust infrastructure and hosting services that simplify deployment and scaling of web applications. Choosing the right provider depends on your project's requirements and budget.

Package Managers

npm (Node Package Manager): npm is the go-to package manager for JavaScript and Node.js projects. It simplifies dependency management and facilitates the installation of packages and libraries.

pip (Python Package Installer): Python developers rely on pip to manage Python package dependencies. It streamlines the process of installing and maintaining libraries.

Collaboration and Communication

Slack, Microsoft Teams: These communication platforms enable seamless communication within development teams. They provide channels for discussions, file sharing, and integrations with other development tools.

JIRA, Trello: Project management and issue tracking tools like JIRA and Trello help teams organize tasks, track progress, and manage project workflows efficiently.

Monitoring and Logging

Prometheus, Grafana: Prometheus is an open-source monitoring and alerting toolkit, while Grafana is a visualization and dashboarding platform. Together, they provide a powerful solution for monitoring application metrics and visualizing data.

ELK Stack (Elasticsearch, Logstash, Kibana): The ELK Stack is a popular choice for centralized logging and analysis. It helps you collect, store, and analyze logs generated by your applications, aiding in debugging and performance optimization.

In conclusion, full stack developers require a diverse toolkit to navigate the multifaceted world of web development successfully. Whether you're a beginner or an experienced developer, the tools mentioned in this guide are essential for building robust, efficient, and scalable applications. By carefully selecting the right tools for your specific project requirements, you can streamline your development workflow and deliver high-quality software.

To further enhance your skills and stay up-to-date with the latest industry trends, consider exploring Full Stack Developer courses offered by ACTE Technologies. ACTE Technologies provides comprehensive programs designed to empower developers with the knowledge and expertise needed to excel in their careers. With a strong foundation in these tools and continuous learning, you can become a proficient full stack developer ready to tackle complex web development challenges.

[mythgrippa-blog]

Control-Alt-Delete

Last night's breakdown was the best one yet, I've been holding in so many feelings hehe who knew I had it in me to say such things... there's just so much to do, and thats never been a problem.

But god damn, those were some really sad things that were in my mind, things I thought I'd moved on from and things I thought were okayl

I am just going to take a break from chatting to people, maybe thats getting to me. I'm just going to do my other practicals and then focus on the project, I'll try to put in some studying for security but hey we'll see how it goes.

By the end of today I should be an expert in:

Neo4j

MongoDB

Fortran

COBOL

Computer Security

From tomorrow I'll see in developing the Orcust system for the app, thats literally my last wish for the project. What's the Orcust system you ask? Well think of it as a service that allows for user submitted code to be included into the app's system, and this is accomplished through an orchestration of docker containers.

So we're taking your code, creating a docker image from it using a template and then running it as a container on its assigned port, and the running.

The orcust system is built using python and making use of docker library for this orchestration (I think management is a better word but I like the word "orchestrate") and making use of mysql for managing each container along with their assigned ports.

You'll be able to update, each version before being accepted is tested to ensure it meets the requirements which are as follows:

The running of the app shouldn't exceed the TIMEOUT of 10 seconds

Must be able to process images of different sizes

No viruses detected in images

I'll

[acquaintsofttech]

MERN Stack Development: 4 Issues That Negatively Trigger Problems

Introduction

The MERN Stack consists of MongoDB, Express.js, React.js, and Node.js, and developers utilize this renowned set of technologies to construct websites and applications. Sometimes, MERN stack developers would find it hard to make changes or updates in their projects due to limitations of these technologies. In this article, we’ll learn how to make MERN development more flexible.

Let’s understand what Stack Rigidity is.

What is Stack Rigidity?

Stack rigidity is when it's tough to change or scale an app because of the technology used. In MERN development, this could mean difficulties in adding new features, adapting to new requirements, or handling more users. It's important for developers to know how to make their tech stack more adaptable.

Now, further let’s understand what are the Common Issues with Rigidity in MERN

What are the Common Issues with Rigidity in MERN

State Management in React

React is great for building user interfaces but managing the state, which is the information that changes over time within the app, can become complex as the app grows. This complexity can lead to errors and slow down development.

Database Limitations with MongoDB

MongoDB is flexible and easy to use, but it can struggle with complex data relationships as applications scale. This might lead to performance issues or difficulty in retrieving data efficiently.

Overusing Middleware in Express

Its simplicity and flexibility make Express valued, but using too many middleware functions can make the server-side code bloated and hard to manage.

Node.js Performance Issues

Node.js is efficient for tasks that involve handling many operations at once (like web requests), but it’s less effective for heavy computational tasks, which can hinder the performance of larger, more complex applications.

Now, let’s understand how can you make the MERN more flexible

How to make MERN Architecture more flexible?

Better Tools for React

By incorporating libraries like Redux or MobX can improve the state management in React applications. These tools provide a structured way to manage state, making the data flow in the application more predictable and the state easier to maintain.

Using Microservices

Adopting a microservices architecture for the Node.js backend can enhance scalability and maintainability. This approach involves breaking the backend into smaller, independent services that can be developed, deployed, and scaled independently.

Flexible Databases

Integrating other types of databases, like SQL databases, or introducing Object-Relational Mapping (ORM) tools can help manage complex data relationships more effectively than MongoDB alone.

Modern Deployment Techniques

Employing modern deployment technologies like Docker and Kubernetes can streamline the process of deploying and managing applications. Docker containers can encapsulate the application environment, making it easier to move the application between different environments. Kubernetes helps manage these containers, enabling automatic scaling and management of application instances.

Keep Learning

Technology is always evolving, and keeping up-to-date with the latest advancements in MERN technologies and related tools is essential. Encouraging a culture of continuous learning and adaptation within development teams can lead to more innovative and flexible development practices.

Now, let’s understand a few trends and tools in MERN Stack Development

What are a few Trends and Tools in MERN Stack Development

Serverless Architectures

Incorporating serverless computing into MERN applications can drastically reduce the complexity of scaling and maintaining infrastructure.

Serverless functions, such as AWS Lambda or Azure Functions, can be used for specific backend tasks like running APIs or processing data.

This not only reduces the load on your Node.js servers but also cuts down on operational costs, as you pay only for the compute time you use.

Progressive Web Apps (PWA)

By updating the Progressive Web Apps, developers can enhance their user experience seamlessly. A PWI enables applications to load faster, work offline and act more like a native app on any mobile device.

By implementing varied PWA features like service workers, cache APIs and notifications would improve engagement and accessibility, thus making applications more appealing to user across various platforms.

An API-First Development

This approach prioritizes creating powerful APIs before developing the rest of the application. For a MERN stack application, this means designing and implementing an Express.js backend that provides strong API endpoints which can be consumed by the React frontend and potentially other types of clients in the future.

This strategy ensures greater flexibility and reusability of the backend services, making the application more adaptable and easier to integrate with other systems or third-party services.

Moving ahead, we’ll see what are the Best Practices for MERN Stack Flexibility

3 Best Practices for MERN Stack Flexibility

Code Modularity

Writing a modular code is important to ensure that the components or service are updated or replaced without impacting other parts of the application. In a MERN stack application, this could mean creating reusable React components, designing Express middleware that can be easily adjusted or replaced, and structuring the Node.js backend code in a way that services can be independently developed and deployed.

Continuous Integration/Deployment

While using CI/CD practices ensure you maintain the health of your application. Moreover, by automating testing and deployment processes, all new code submissions are verified against a predefined test case and is deployed seamlessly without any manual intervention.Tools like Jenkins, Travis CI, or GitHub Actions can be used to set up CI/CD pipelines for MERN applications.

Automated Testing

It is necessary to make sure all the MERN stack components have adequate test coverage that helps in preventing regressions and bugs from being introduced in any production. This would consist of unit tests for separate modules, integration tests that cover interactions within components and end-to-end tests for a UI/UX component.

Now, before moving toward the conclusion part, let us quickly understand how the future  holds for MERN Stack Development?

MERN Stack Development: How does the Future Hold?

Certainly! Here's a more detailed elaboration on the newly added sections regarding new trends and tools, best practices, and the future outlook in MERN development:

AI and Machine Learning Integration

As AI and machine learning continue to evolve, there are more opportunities to integrate these technologies into MERN applications.

For example, machine learning models can be used to analyze user behavior, personalize content, or make intelligent product recommendations in a web application. Node.js can interact with AI APIs or run machine learning models, enhancing the application's capabilities.

Internet of Things Applications

The MERN stack can be extended to interact with IoT devices, collecting real-time data or managing device control through web interfaces.

This involves using Node.js to handle IoT data streams, storing data in MongoDB, and using React to create dashboards for data visualization and control interfaces.

Quantum Computing Considerations

Although still in its early stages, quantum computing promises to revolutionize many fields, including web development.

Developers should actively inform themselves about quantum developments as these technologies could potentially impact how they design and optimize web applications, especially in regards to security and data protection.

Now, let’s understand how Acquaint Softtech can help in MERN Stack Development

How can Acquaint Softtech help in MERN Stack Development?

Acquaint Softtech is an Indian company specializing in software development outsourcing and IT staff augmentation. We predominantly use the Laravel framework to create custom websites and software solutions tailored to our clients' needs. If your company is remote and wants to hire remote developers, we can assist in quickly sourcing the right talent.

Our straightforward onboarding process allows for seamless integration of developers into your team within 48 hours.

We provide our remote developer services at competitive rates of $15 per hour. Additionally, we are broadening our skills to include MEAN and MERN Stack Development, offering you the chance to hire MEAN stack developers and hire MERN stack developers from our team to boost the efficiency and innovation of your projects.

Wrapping Up!

Dealing with stack rigidity in MERN development is crucial for projects that need to stay modern and handle growth well. By bringing in new tools, trying out different architectural styles, and encouraging ongoing learning, developers can make sure their projects are flexible and ready for the future.

[inextures]

Exploring the Exciting Features of Spring Boot 3.1

Spring Boot is a popular Java framework that is used to build robust and scalable applications. With each new release, Spring Boot introduces new features and enhancements to improve the developer experience and make it easier to build production-ready applications. The latest release, Spring Boot 3.1, is no exception to this trend.

In this blog post, we will dive into the exciting new features offered in Spring Boot 3.1, as documented in the official Spring Boot 3.1 Release Notes. These new features and enhancements are designed to help developers build better applications with Spring Boot. By taking advantage of these new features, developers can build applications that are more robust, scalable, and efficient.

So, if you’re a developer looking to build applications with Spring Boot, keep reading to learn more about the exciting new features offered in Spring Boot 3.1!

Feature List:

         1. Dependency Management for Apache HttpClient 4:

Spring Boot 3.0 includes dependency management for both HttpClient 4 and 5.

Spring Boot 3.1 removes dependency management for HttpClient 4 to encourage users to move to HttpClient 5.2. Servlet and Filter Registrations:

The ServletRegistrationBean and FilterRegistrationBean classes will now throw an IllegalStateException if registration fails instead of logging a warning.

To retain the old behaviour, you can call setIgnoreRegistrationFailure(true) on your registration bean.3. Git Commit ID Maven Plugin Version Property:

The property used to override the version of io.github.git-commit-id:git-commit-id-maven-plugin has been updated.

Replace git-commit-id-plugin.version with git-commit-id-maven-plugin.version in your pom.xml.4. Dependency Management for Testcontainers:

Spring Boot’s dependency management now includes Testcontainers.

You can override the version managed by Spring Boot Development using the testcontainers.version property.5. Hibernate 6.2:

Spring Boot 3.1 upgrades to Hibernate 6.2.

Refer to the Hibernate 6.2 migration guide to understand how it may affect your application.6. Jackson 2.15:

TestContainers

The Testcontainers library is a tool that helps manage services running inside Docker containers. It works with testing frameworks such as JUnit and Spock, allowing you to write a test class that starts up a container before any of the tests run. Testcontainers are particularly useful for writing integration tests that interact with a real backend service such as MySQL, MongoDB, Cassandra, and others.

Integration tests with Testcontainers take it to the next level, meaning we will run the tests against the actual versions of databases and other dependencies our application needs to work with executing the actual code paths without relying on mocked objects to cut the corners of functionality.

<dependency>   <groupId>org.springframework.boot</groupId>   <artifactId>spring-boot-testcontainers</artifactId>   <scope>test</scope> </dependency> <dependency>   <groupId>org.testcontainers</groupId>   <artifactId>junit-jupiter</artifactId>   <scope>test</scope> </dependency>

Add this dependency and add @Testcontainers in SpringTestApplicationTests class and run the test case

@SpringBootTest @Testcontainers class SpringTestApplicationTests {   @Container   GenericContainer<?> container = new GenericContainer<>("postgres:9");   @Test   void myTest(){       System.out.println(container.getContainerId()+ "  "+container.getContainerName());       assert (1 == 1);   } }

This will start the docker container for Postgres with version 9

We can define connection details to containers using “@ServiceConnection” and “@DynamicPropertySource”.

a. ConnectionService

@SpringBootTest @Testcontainers class SpringTestApplicationTests {   @Container   @ServiceConnection   static MongoDBContainer container = new MongoDBContainer("mongo:4.4"); }

Thanks to @ServiceConnection, the above configuration allows Mongo-related beans in the application to communicate with Mongo running inside the Testcontainers-managed Docker container. This is done by automatically defining a MongoConnectionDetails bean which is then used by the Mongo auto-configuration, overriding any connection-related configuration properties.

b. Dynamic Properties

A slightly more verbose but also more flexible alternative to service connections is @DynamicPropertySource. A static @DynamicPropertySource method allows adding dynamic property values to the Spring Environment.

@SpringBootTest @Testcontainers class SpringTestApplicationTests {   @Container   @ServiceConnection   static MongoDBContainer container = new MongoDBContainer("mongo:4.4");   @DynamicPropertySource   static void registerMongoProperties(DynamicPropertyRegistry registry) {       String uri = container.getConnectionString() + "/test";       registry.add("spring.data.mongodb.uri", () -> uri);   } }

c. Using Testcontainers at Development Time

Test the application at development time, first we start the Mongo database our app won’t be able to connect to it. If we use Docker, we first need to execute the docker run command that runs MongoDB and exposes it on the local port.

Fortunately, with Spring Boot 3.1 we can simplify that process. We don’t have to Mongo before starting the app. What we need to do – is to enable development mode with Testcontainers.

<dependency>   <groupId>org.springframework.boot</groupId>   <artifactId>spring-boot-testcontainers</artifactId>   <scope>test</scope> </dependency>

Then we need to prepare the @TestConfiguration class with the definition of containers we want to start together with the app. For me, it is just a single MongoDB container as shown below:

public class MongoDBContainerDevMode {   @Bean   @ServiceConnection   MongoDBContainer mongoDBContainer() {       return new MongoDBContainer("mongo:5.0");   } }

2. Docker Compose

If you’re using Docker to containerize your application, you may have heard of Docker Compose, a tool for defining and running multi-container Docker applications. Docker Compose is a popular choice for developers as it enables them to define a set of containers and their dependencies in a single file, making it easy to manage and deploy the application.

Fortunately, Spring Boot 3.1 provides a new module called spring-boot-docker-compose that provides seamless integration with Docker Compose. This integration makes it even easier to deploy your Java Spring Boot application with Docker Compose. Maven dependency for this is given below:

The spring-boot-docker-compose module automatically looks for a Docker Compose configuration file in the current working directory during startup. By default, the module supports four file types: compose.yaml, compose.yml, docker-compose.yaml, and docker-compose.yml. However, if you have a non-standard file type, don’t worry – you can easily set the spring.docker.compose.file property to specify which configuration file you want to use.

When your application starts up, the services you’ve declared in your Docker Compose configuration file will be automatically started up using the docker compose up command. This means that you don’t have to worry about manually starting and stopping each service. Additionally, connection details beans for those services will be added to the application context so that the services can be used without any further configuration.

When the application stops, the services will then be shut down using the docker compose down command.

This module also supports custom images too. You can use any custom image as long as it behaves in the same way as the standard image. Specifically, any environment variables that the standard image supports must also be used in your custom image.

Overall, the spring-boot-docker-compose module is a powerful and user-friendly tool that simplifies the process of deploying your Spring Boot application with Docker Compose. With this module, you can focus on writing code and building your application, while the module takes care of the deployment process for you.

Conclusion

Overall, Spring Boot 3.1 brings several valuable features and improvements, making it easier for developers to build production-ready applications. Consider exploring these new features and enhancements to take advantage of the latest capabilities offered by Spring Boot.

Originally published by: Exploring the Exciting Features of Spring Boot 3.1