#Docker Containers tutorial

[hackeocafe]

How to Use Container Manager (Docker) on a Synology NAS - Beginners Guide

This step-by-step guide will show you how to install Container Manager on a Synology NAS and implement your own Docker containers! Container Manager is the "new" Docker application in versions of DSM newer than 7.2. While Container Manager is very similar to the old version of Docker, it has some awesome new features like Docker Compose. Learn everything about Container Manager in this full setup guide!

[joy-jules]

DogCat - Exploiting LFI and Docker Privilege Escalation -TryHackMe Walkthrough

In this walkthrough, we’ll explore the Dogcat room on TryHackMe, a box that features a Local File Inclusion (LFI) vulnerability and Docker privilege escalation. LFI allows us to read sensitive files from the system and eventually gain access to the server.There are a total of 4 flags in this machine which we need to find. Let’s Dive in! Step 1: Scanning the Target Start by scanning the target…

[veuhoffblog]

Auslastung eines Containers unter Docker auslesen (CPU + RAM)

Zur Analyse und zur Überprüfung der Leistung unseres Docker-Servers kann es praktisch sein, die aktuelle CPU-Auslastung und den Arbeitsspeicher von einzelnen Containern auszulesen. Dafür bietet die beliebte Plattform für Containerisierung...[Weiterlesen]

[nixcraft]

I have been using Btrfs for several months, and it has been stable enough for me. It is a file system that can be used as a storage driver for Linux containers like LXD, Incus, or Docker. If you want to install Btrfs support on Debian Linux and format & mount a disk drive, see my tutorial

[abiyaabi]

Navigating the DevOps Landscape: A Beginner's Comprehensive

Roadmap In the dynamic realm of software development, the DevOps methodology stands out as a transformative force, fostering collaboration, automation, and continuous enhancement. For newcomers eager to immerse themselves in this revolutionary culture, this all-encompassing guide presents the essential steps to initiate your DevOps expedition.

Grasping the Essence of DevOps Culture: DevOps transcends mere tool usage; it embodies a cultural transformation that prioritizes collaboration and communication between development and operations teams. Begin by comprehending the fundamental principles of collaboration, automation, and continuous improvement.

Immerse Yourself in DevOps Literature: Kickstart your journey by delving into indispensable DevOps literature. "The Phoenix Project" by Gene Kim, Jez Humble, and Kevin Behr, along with "The DevOps Handbook," provides invaluable insights into the theoretical underpinnings and practical implementations of DevOps.

Online Courses and Tutorials: Harness the educational potential of online platforms like Coursera, edX, and Udacity. Seek courses covering pivotal DevOps tools such as Git, Jenkins, Docker, and Kubernetes. These courses will furnish you with a robust comprehension of the tools and processes integral to the DevOps terrain.

Practical Application: While theory is crucial, hands-on experience is paramount. Establish your own development environment and embark on practical projects. Implement version control, construct CI/CD pipelines, and deploy applications to acquire firsthand experience in applying DevOps principles.

Explore the Realm of Configuration Management: Configuration management is a pivotal facet of DevOps. Familiarize yourself with tools like Ansible, Puppet, or Chef, which automate infrastructure provisioning and configuration, ensuring uniformity across diverse environments.

Containerization and Orchestration: Delve into the universe of containerization with Docker and orchestration with Kubernetes. Containers provide uniformity across diverse environments, while orchestration tools automate the deployment, scaling, and management of containerized applications.

Continuous Integration and Continuous Deployment (CI/CD): Integral to DevOps is CI/CD. Gain proficiency in Jenkins, Travis CI, or GitLab CI to automate code change testing and deployment. These tools enhance the speed and reliability of the release cycle, a central objective in DevOps methodologies.

Grasp Networking and Security Fundamentals: Expand your knowledge to encompass networking and security basics relevant to DevOps. Comprehend how security integrates into the DevOps pipeline, embracing the principles of DevSecOps. Gain insights into infrastructure security and secure coding practices to ensure robust DevOps implementations.

Embarking on a DevOps expedition demands a comprehensive strategy that amalgamates theoretical understanding with hands-on experience. By grasping the cultural shift, exploring key literature, and mastering essential tools, you are well-positioned to evolve into a proficient DevOps practitioner, contributing to the triumph of contemporary software development.

[korshubudemycoursesblog]

Master DevOps Like a Pro: Learn Terraform, Kubernetes, Ansible & Docker in One Course

If you're dreaming of mastering DevOps and landing high-paying roles in tech, there's no better time than now to level up your skills. Whether you're a system admin, developer, or IT professional aiming to break into the DevOps world, the right tools and training make all the difference. What if you could learn the most in-demand DevOps technologies—Terraform, Kubernetes, Ansible, and Docker—all in one place?

Introducing the DevOps MasterClass: Terraform Kubernetes Ansible Docker—a complete, hands-on course designed to equip you with real-world skills that employers are actively searching for.

Let’s explore what makes this course so powerful and why it might just be the best decision you make for your tech career.

🚀 Why DevOps Is Changing the Tech Industry

Before we dive into the tools, let's quickly understand why DevOps is a game-changer.

Traditional software development and operations used to work in silos. Developers wrote the code, and operations teams handled deployments. The result? Slow, buggy releases and constant miscommunication.

DevOps breaks those silos—it's a culture, a set of practices, and a toolkit that enables teams to collaborate better, release faster, and maintain higher software quality. With major companies like Netflix, Amazon, and Google using DevOps pipelines, the demand for skilled DevOps engineers is skyrocketing.

🎯 What Makes This MasterClass Stand Out?

There are dozens of DevOps tutorials online—but here’s why this DevOps MasterClass: Terraform Kubernetes Ansible Docker truly stands out:

All-in-One Learning: Learn four top tools in one place—Terraform, Kubernetes, Ansible, and Docker.

Real-World Projects: Not just theory. You’ll work on projects that simulate real DevOps environments.

Beginner to Advanced: No matter your level, the course guides you step-by-step.

Lifetime Access: Learn at your own pace and revisit anytime.

Industry-Relevant Curriculum: Aligned with what companies actually use in production.

🧰 The DevOps Toolkit You’ll Master

Let’s break down the four core tools you'll be learning—and why each is so important for modern DevOps practices.

1. Terraform: Infrastructure as Code Made Easy

Imagine being able to create, manage, and scale infrastructure with just a few lines of code. That’s Terraform for you.

Instead of manually setting up cloud resources (which is time-consuming and error-prone), Terraform lets you define everything as code. Whether it’s AWS, Azure, or GCP, Terraform handles it with elegance.

You’ll learn:

How to write Terraform configuration files

Create and destroy cloud resources with ease

Build reusable infrastructure modules

Automate cloud provisioning

This part of the course helps you build the foundations of Infrastructure as Code (IaC)—a must-have skill in modern cloud environments.

2. Kubernetes: Container Orchestration Done Right

Kubernetes, often called K8s, is the gold standard for managing containers. If Docker helps you build and ship containers, Kubernetes helps you scale, manage, and monitor them in production.

In the course, you’ll cover:

Kubernetes architecture (pods, nodes, services)

Deploying applications using YAML

Scaling applications up/down automatically

Handling updates and rollbacks

Managing persistent storage and secrets

This is essential if you’re aiming to run apps at scale and work with microservices.

3. Ansible: Configuration Management Without the Hassle

Ansible makes IT automation simple. It allows you to configure servers, install software, and manage services with human-readable playbooks—no coding headaches.

What you’ll learn:

Writing and running Ansible playbooks

Automating server setups (Linux, cloud VMs, etc.)

Managing app deployments with Ansible roles

Integrating Ansible with CI/CD pipelines

This will help you automate repetitive tasks and maintain consistent environments—a crucial DevOps capability.

4. Docker: The Foundation of Modern DevOps

Docker changed everything. It made app packaging and deployment incredibly easy. Instead of “it works on my machine,” Docker ensures it works everywhere.

You’ll master:

Dockerfile creation and image building

Working with Docker Hub and registries

Networking and volumes

Docker Compose for multi-container apps

Best practices for image optimization and security

Docker is the first tool many DevOps learners start with—and in this course, it’s covered thoroughly.

🔄 How These Tools Work Together in a DevOps Pipeline

These four tools don’t work in isolation—they complement each other perfectly:

Docker packages the application.

Ansible automates the server environment.

Terraform sets up the infrastructure.

Kubernetes deploys and scales your Docker containers.

By mastering this combo, you’ll be able to build a robust, automated DevOps pipeline that mirrors real-world enterprise environments.

💼 Who Should Take This Course?

The DevOps MasterClass: Terraform Kubernetes Ansible Docker is ideal for:

Aspiring DevOps engineers looking to enter the field

System admins who want to automate and modernize infrastructure

Developers who want to understand deployments better

Cloud professionals who need to work across platforms

IT managers who want to upskill their team or shift into DevOps roles

If you’re passionate about learning and ready to commit, this course is your launchpad.

🧠 What You’ll Build (Hands-On Projects)

Unlike dry tutorials, this course emphasizes hands-on experience. Expect to build and manage:

Real-world infrastructure using Terraform on AWS

Scalable deployments on Kubernetes clusters

Automated software installation using Ansible

Containerized web applications with Docker and Docker Compose

These projects will fill your GitHub portfolio—and help you impress hiring managers or clients.

📈 Job Market Value of These Skills

Let’s talk money. According to Glassdoor and Indeed:

DevOps Engineers earn an average of $115,000 to $150,000 per year

Terraform, Kubernetes, Docker, and Ansible skills are listed in 80% of DevOps job posts

Many companies are looking for multi-skilled professionals who can handle everything from infrastructure to deployment

Learning all four tools gives you a major competitive edge.

🧩 What’s Inside the Course (Module Breakdown)

Here’s a sneak peek at the modules:

Introduction to DevOps & Tools Overview

Docker Basics to Advanced

Working with Docker Compose

Ansible Playbooks and Automation

Terraform Infrastructure Provisioning

Kubernetes Architecture & Deployment

CI/CD Integration with DevOps Tools

Project-Based Learning

Every module includes real-world examples, quizzes, and projects to test your skills.

🌐 Why Learn from This Course Instead of Free Tutorials?

It’s tempting to rely on YouTube or blogs for learning. But here’s what this paid course gives you that free resources don’t:

✅ Structured Curriculum ✅ Lifetime Access ✅ Community Support ✅ Expert Instructor Guidance ✅ Projects to Build Your Portfolio

Investing in a high-quality course isn’t just about information—it’s about transformation. You go from knowing a tool to mastering it with confidence.

✨ What Learners Are Saying

⭐ “This course helped me land a DevOps role in just 3 months. The Terraform and Kubernetes modules were spot on.” — Ravi, India

⭐ “I was new to Docker and Ansible, and now I deploy apps in Kubernetes like a pro. Highly recommend this course!” — Jessica, UK

⭐ “Finally, a practical course that teaches how these tools work together. Worth every minute.” — Carlos, USA

🎓 Final Thoughts: Your DevOps Journey Starts Now

The tech world is evolving rapidly, and DevOps is no longer optional—it’s essential. With this DevOps MasterClass: Terraform Kubernetes Ansible Docker, you gain a complete DevOps skill set that’s immediately applicable in the real world.

Don’t waste time juggling multiple incomplete tutorials. Master everything in one comprehensive, expertly designed course.

👉 Take charge of your future. Learn the most in-demand tools. Build real projects. And become the DevOps expert companies are searching for.

Ready to get started?

Enroll in the DevOps MasterClass now and take your first step toward DevOps mastery.

[fullstackverse]

Learning ASP.NET Core Online: Tips for Fast-Tracking Your Skills

In the rapidly evolving tech world, staying ahead means continuously upgrading your skill set. Among the most in-demand frameworks today is ASP.NET Core, and mastering it can open doors to exciting development careers. For those ready to dive in, enrolling in an asp net core online course or committing to a structured ASP.NET Core training online can be your golden ticket.

Whether you're a complete beginner or transitioning from another framework, this article is your comprehensive guide to learning ASP.NET Core online efficiently. From structured strategies to tips that actually work, you’ll find everything you need here.

Why ASP.NET Core is Worth Learning

ASP.NET Core is a modern, high-performance framework developed by Microsoft for building cloud-based, internet-connected applications. It's open-source, cross-platform, and incredibly fast. With more companies adopting microservices architecture and container-based deployment, ASP.NET Core is increasingly at the forefront.

Power of ASP.NET Core in the Job Market

Many organizations are migrating their legacy .NET applications to ASP.NET Core to take advantage of its speed, scalability, and flexibility. Knowing this framework gives you a competitive edge in roles like backend developer, full-stack developer, and DevOps engineer.

Best Practices to Start Learning ASP.NET Core Online

1. Set Clear Goals

Before jumping into any online course, define what you want to achieve. Are you aiming for certification, job readiness, or just knowledge enhancement? Having a goal will help you choose the right course and maintain your motivation.

2. Choose Structured Learning Paths

A random collection of YouTube tutorials may not provide a comprehensive understanding. Instead, opt for a complete course structure that includes fundamentals, advanced topics, real-world projects, and assessments. Platforms offering certifications can also boost your resume.

3. Use Hands-On Projects to Practice

Theory alone won't help you master ASP.NET Core. Apply what you learn by building projects such as:

A blog or CMS

An eCommerce store

A RESTful API with Entity Framework

Microservices-based applications

These not only reinforce concepts but also enrich your portfolio.

Top Resources to Fast-Track Your Learning

1. Microsoft Learn

Microsoft's own documentation and learning paths are incredibly thorough. They are up-to-date, official, and cover everything from beginner to advanced topics.

2. Community Blogs and GitHub Repositories

Explore ASP.NET Core projects on GitHub. These repositories often include documentation, unit tests, and CI/CD integrations—valuable skills to learn alongside coding.

3. Enroll in a Quality ASP.NET Core Online Course

Platforms like ScholarHat offer courses tailored to fast-tracking your learning, complete with mentorship, projects, and quizzes. Their ASP.NET Core training online is structured to help learners become job-ready.

Common Mistakes to Avoid

1. Skipping Fundamentals

ASP.NET Core builds upon many essential concepts such as MVC architecture, dependency injection, middleware, and routing. Missing these can hinder your growth.

2. Not Writing Enough Code

Many learners spend too much time watching lectures without coding. Always supplement videos with active development time.

3. Ignoring Testing and Debugging

Good developers know how to test and debug effectively. Make use of xUnit, Moq, and built-in debugging tools in Visual Studio or Visual Studio Code.

Learning Path for Different Levels

Beginner Level

Learn C# fundamentals

Understand .NET basics

Explore MVC pattern

Build a simple CRUD application

Intermediate Level

Dependency injection

Middleware pipeline

Authentication & Authorization

Unit Testing & Debugging

Advanced Level

API development

Integrating with third-party APIs

CI/CD with Azure DevOps

Containerization with Docker

How to Stay Consistent and Motivated

1. Join Online Communities

Whether it’s Stack Overflow, Reddit, or Discord channels, connecting with fellow learners and professionals keeps you motivated.

2. Take Notes and Revisit Them

Create a personal knowledge base. This will help you during interviews and when revisiting concepts.

3. Track Your Progress

Platforms like ScholarHat provide progress tracking features in their courses. Seeing how far you've come keeps you moving forward.

Career Opportunities After Mastery

Learning ASP.NET Core opens doors to multiple career paths:

Backend Developer

Full Stack Developer

.NET Engineer

Cloud Application Developer

DevOps Engineer

In the middle of your learning journey, make sure to reflect on your progress and adjust your goals accordingly. It's crucial to keep your learning dynamic and project-driven.

Real-World Projects You Can Build

1. Expense Tracker Application

Use CRUD operations, authentication, and charting.

2. Hospital Management System

Implement REST APIs, database integration, and admin panels.

3. Microservice-Based eCommerce Platform

Integrate different services like cart, user, payment, and product services.

4. Portfolio Website

Utilize MVC, Entity Framework, and third-party APIs.

5. Social Media Clone

Create a scalable application with user posts, comments, likes, and notifications.

Conclusion: Fast-Track Your Growth Today

By strategically following the tips outlined above, you can accelerate your learning and build real-world competencies. Learning ASP.NET Core online: tips for fast-tracking your skills doesn’t just equip you with knowledge; it prepares you for success in the development world.

Start your journey today with a structured asp net core online course or a guided ASP.NET Core training online.

Frequently Asked Questions (FAQs)

What is the difference between .NET and ASP.NET Core?

.NET is the overall development platform, while ASP.NET Core is a web framework under .NET used specifically for building web applications.

Can I learn ASP.NET Core without prior coding knowledge?

It's recommended to know C# before diving into ASP.NET Core. It makes understanding the framework much easier.

How long does it take to master ASP.NET Core?

Depending on your pace, dedication, and previous experience, it may take 3 to 6 months.

Is ASP.NET Core open-source?

Yes, ASP.NET Core is completely open-source and maintained by Microsoft and the community.

What are the prerequisites for ASP.NET Core?

A solid understanding of C#, object-oriented programming, and web development basics is essential.

Which IDE is best for ASP.NET Core development?

Visual Studio and Visual Studio Code are both widely used and fully support ASP.NET Core.

Can ASP.NET Core be used for mobile app development?

Indirectly, yes—via APIs that support mobile frontends or with tools like Xamarin.

How do I deploy an ASP.NET Core application?

You can deploy it using Azure, Docker containers, or traditional hosting environments.

Is ASP.NET Core used in large-scale enterprise applications?

Yes, many large enterprises have adopted ASP.NET Core for its performance and scalability.

What certifications are available for ASP.NET Core?

Microsoft and other training platforms offer official certifications that validate your skills in ASP.NET Core.

[nuveprotechnologies]

Skills Ontology and New Skills: How to Continuously Update Your Skill Set

In the dynamic and ever-evolving world of technology, standing still is equivalent to falling behind. With constant innovation, the skillsets that were valuable yesterday may not be enough to meet today’s challenges — let alone tomorrow’s. This is where the concept of skills ontology becomes vital. Skills ontology refers to the structured mapping of skills and their relationships, helping learners and organizations identify the skills needed for specific roles, how they evolve, and how they relate to other competencies. 

The future of workforce development lies in recognizing skill clusters, identifying emerging needs, and continuously updating competencies through immersive, practical, and targeted learning experiences. And Nuvepro, a leader in workforce skilling solutions, is redefining how individuals and enterprises can navigate this journey. 

Why Skills Ontology Matters 

In a digital-first economy, IT professionals are no longer defined by a single expertise. Modern roles require a blend of technologies and soft skills — a front-end developer may also need a grasp of UX principles, cloud deployment, and CI/CD tools. Understanding these interrelated skills is made possible through a skills ontology, which serves as a dynamic blueprint to design relevant learning paths and predict future needs. 

But identifying skills is only one part of the equation. The real challenge lies in continuously updating and validating those skills to ensure job readiness and project readine 

Continuous Learning Through Hands-On Practice 

Traditional learning models — long courses, video tutorials, or theoretical lectures — often fail to create real transformation. Today’s IT professionals need learning by doing, and that’s where Nuvepro excels. Through its hands-on sandboxes and sandbox environments, Nuvepro provides learners the opportunity to experiment, fail, learn, and succeed — all within a controlled, real-world-like environment. 

These sandboxes for skilling and challenge labs allow learners to work on live-like projects, gaining the confidence and competence that textbook learning can’t offer. Whether it's deploying Docker containers, setting up a CI/CD pipeline, or integrating Azure with ASP.NET Core applications, Nuvepro ensures learners acquire skills the way they’re actually used in projects. 

Adapting to New Skill Requirements in Real-Time 

Technology doesn’t wait — and neither should learning. With Nuvepro’s workforce training programs, companies can introduce emerging skills into their skilling pipelines instantly. Whether it's a new cloud platform, an updated security framework, or evolving AI development tools, Nuvepro helps businesses and learners stay on top of change. 

By integrating on-the-job training modules and job training programs, IT companies can ensure their workforce remains competitive and current. This agility is crucial not just for innovation, but also for reducing bench time and accelerating time-to-billability for new hires and cross-skilled professionals. 

From Awareness to Application: The Skilling Journey 

Updating your skill set begins with identifying gaps and ends with validation. Nuvepro’s platform allows for both. With a structured learning flow that combines hands-on learning with post-training assessments, learners don’t just gain new skills — they prove them. This comprehensive approach turns training into tangible outcomes, not just completed checklists. 

By aligning skills ontology with Nuvepro’s skilling solutions, organizations gain a clear roadmap from skill gaps to deployable talent. The result? A workforce that is more resilient, more confident, and more future-proof. 

Future-Proofing IT Teams with Nuvepro 

The speed at which technology evolves will only increase. Organizations that don’t invest in continuous skilling will find themselves struggling to compete. Nuvepro's sandbox-based training approach provides a strategic, scalable, and deeply practical way to close skill gaps, prepare for emerging technologies, and ensure team readiness for real-world challenges. 

From training for IT companies to project readiness initiatives, Nuvepro is not just building individual competencies — it's enabling organisations to build the workforce of the future. 

Conclusion:  

In a world driven by skills and defined by speed, continuous learning is no longer optional — it’s the foundation of professional survival and success. With a deep understanding of skills ontology, paired with Nuvepro’s robust hands-on solutions, IT professionals can embrace change, master new technologies, and stay consistently job-ready. 

Whether you’re an individual aiming to upskill or an organization seeking to future-proof your talent, Nuvepro offers the tools, environments, and strategies to help you succeed — not just today, but for what comes next.

[hackeocafe]

Dockge: A New Way To Manage Your Docker Containers

Dockge is a self-hosted Docker stack manager, designed to offer a simple and clean interface for managing multiple Docker compose files. It has been developed by the same individual responsible for creating Uptime Kuma, a popular software for monitoring uptime

Dockge is described as an easy-to-use, and reactive self-hosted manager that is focused on Docker compose.yaml stack orientation. It features an interactive editor for compose.yaml, an interactive web terminal, and a reactive UI where everything is responsive, including real-time progress and terminal output.

It allows for the management of compose.yaml files, including creating, editing, starting, stopping, restarting, and deleting, as well as updating Docker images. The user interface is designed to be easy to use and visually appealing, especially for those who appreciate the UI/UX of Uptime Kuma.

Additionally, Dockge can convert docker run … commands into compose.yaml and maintains a file-based structure, meaning that compose files are stored on the user's drive as usual and can be interacted with using normal docker compose commands​​.

The motivation behind Dockge's development includes dissatisfaction with existing solutions like Portainer, especially regarding stack management. Challenges with Portainer included issues like indefinite loading times when deploying stacks and unclear error messages. The developer initially planned to use Deno or Bun.js for Dockge's development but ultimately decided on Node.js due to lack of support for arm64 in the former technologies​​.

In summary, Dockge is a versatile and user-friendly tool for managing Docker stacks, offering a responsive and interactive environment for Docker compose file management. Its development was driven by a desire to improve upon existing tools in terms of usability and clarity.

Resource links:

Github: https://github.com/louislam/dockge

FAQ: https://github.com/louislam/dockge#faq

[promptlyspeedyandroid]

Docker Tutorial for Beginners: Learn Docker Step by Step

What is Docker?

Docker is an open-source platform that enables developers to automate the deployment of applications inside lightweight, portable containers. These containers include everything the application needs to run—code, runtime, system tools, libraries, and settings—so that it can work reliably in any environment.

Before Docker, developers faced the age-old problem: “It works on my machine!” Docker solves this by providing a consistent runtime environment across development, testing, and production.

Why Learn Docker?

Docker is used by organizations of all sizes to simplify software delivery and improve scalability. As more companies shift to microservices, cloud computing, and DevOps practices, Docker has become a must-have skill. Learning Docker helps you:

Package applications quickly and consistently

Deploy apps across different environments with confidence

Reduce system conflicts and configuration issues

Improve collaboration between development and operations teams

Work more effectively with modern cloud platforms like AWS, Azure, and GCP

Who Is This Docker Tutorial For?

This Docker tutorial is designed for absolute beginners. Whether you're a developer, system administrator, QA engineer, or DevOps enthusiast, you’ll find step-by-step instructions to help you:

Understand the basics of Docker

Install Docker on your machine

Create and manage Docker containers

Build custom Docker images

Use Docker commands and best practices

No prior knowledge of containers is required, but basic familiarity with the command line and a programming language (like Python, Java, or Node.js) will be helpful.

What You Will Learn: Step-by-Step Breakdown

1. Introduction to Docker

We start with the fundamentals. You’ll learn:

What Docker is and why it’s useful

The difference between containers and virtual machines

Key Docker components: Docker Engine, Docker Hub, Dockerfile, Docker Compose

2. Installing Docker

Next, we guide you through installing Docker on:

Windows

macOS

Linux

You’ll set up Docker Desktop or Docker CLI and run your first container using the hello-world image.

3. Working with Docker Images and Containers

You’ll explore:

How to pull images from Docker Hub

How to run containers using docker run

Inspecting containers with docker ps, docker inspect, and docker logs

Stopping and removing containers

4. Building Custom Docker Images

You’ll learn how to:

Write a Dockerfile

Use docker build to create a custom image

Add dependencies and environment variables

Optimize Docker images for performance

5. Docker Volumes and Networking

Understand how to:

Use volumes to persist data outside containers

Create custom networks for container communication

Link multiple containers (e.g., a Node.js app with a MongoDB container)

6. Docker Compose (Bonus Section)

Docker Compose lets you define multi-container applications. You’ll learn how to:

Write a docker-compose.yml file

Start multiple services with a single command

Manage application stacks easily

Real-World Examples Included

Throughout the tutorial, we use real-world examples to reinforce each concept. You’ll deploy a simple web application using Docker, connect it to a database, and scale services with Docker Compose.

Example Projects:

Dockerizing a static HTML website

Creating a REST API with Node.js and Express inside a container

Running a MySQL or MongoDB database container

Building a full-stack web app with Docker Compose

Best Practices and Tips

As you progress, you’ll also learn:

Naming conventions for containers and images

How to clean up unused images and containers

Tagging and pushing images to Docker Hub

Security basics when using Docker in production

What’s Next After This Tutorial?

After completing this Docker tutorial, you’ll be well-equipped to:

Use Docker in personal or professional projects

Learn Kubernetes and container orchestration

Apply Docker in CI/CD pipelines

Deploy containers to cloud platforms

Conclusion

Docker is an essential tool in the modern developer's toolbox. By learning Docker step by step in this beginner-friendly tutorial, you’ll gain the skills and confidence to build, deploy, and manage applications efficiently and consistently across different environments.

Whether you’re building simple web apps or complex microservices, Docker provides the flexibility, speed, and scalability needed for success. So dive in, follow along with the hands-on examples, and start your journey to mastering containerization with Docker tpoint-tech!

[codezup]

Crash Course: Deploying Node.js to AWS with Docker

1. Introduction 1.1 Overview In this tutorial, we will explore how to deploy a Node.js application to AWS using Docker. This guide is designed to be hands-on and code-focused, allowing you to follow along and deploy your own application by the end. 1.2 What You Will Learn By the end of this tutorial, you will learn: – Docker Fundamentals: Creating and managing Docker containers. – Node.js…

[catchexperts]

Web Scraping 101: Everything You Need to Know in 2025

🕸️ What Is Web Scraping? An Introduction

Web scraping—also referred to as web data extraction—is the process of collecting structured information from websites using automated scripts or tools. Initially driven by simple scripts, it has now evolved into a core component of modern data strategies for competitive research, price monitoring, SEO, market intelligence, and more.

If you’re wondering “What is the introduction of web scraping?” — it’s this: the ability to turn unstructured web content into organized datasets businesses can use to make smarter, faster decisions.

💡 What Is Web Scraping Used For?

Businesses and developers alike use web scraping to:

Monitor competitors’ pricing and SEO rankings

Extract leads from directories or online marketplaces

Track product listings, reviews, and inventory

Aggregate news, blogs, and social content for trend analysis

Fuel AI models with large datasets from the open web

Whether it’s web scraping using Python, browser-based tools, or cloud APIs, the use cases are growing fast across marketing, research, and automation.

🔍 Examples of Web Scraping in Action

What is an example of web scraping?

A real estate firm scrapes listing data (price, location, features) from property websites to build a market dashboard.

An eCommerce brand scrapes competitor prices daily to adjust its own pricing in real time.

A SaaS company uses BeautifulSoup in Python to extract product reviews and social proof for sentiment analysis.

For many, web scraping is the first step in automating decision-making and building data pipelines for BI platforms.

⚖️ Is Web Scraping Legal?

Yes—if done ethically and responsibly. While scraping public data is legal in many jurisdictions, scraping private, gated, or copyrighted content can lead to violations.

To stay compliant:

Respect robots.txt rules

Avoid scraping personal or sensitive data

Prefer API access where possible

Follow website terms of service

If you’re wondering “Is web scraping legal?”—the answer lies in how you scrape and what you scrape.

🧠 Web Scraping with Python: Tools & Libraries

What is web scraping in Python? Python is the most popular language for scraping because of its ease of use and strong ecosystem.

Popular Python libraries for web scraping include:

BeautifulSoup – simple and effective for HTML parsing

Requests – handles HTTP requests

Selenium – ideal for dynamic JavaScript-heavy pages

Scrapy – robust framework for large-scale scraping projects

Puppeteer (via Node.js) – for advanced browser emulation

These tools are often used in tutorials like “Web scraping using Python BeautifulSoup” or “Python web scraping library for beginners.”

⚙️ DIY vs. Managed Web Scraping

You can choose between:

DIY scraping: Full control, requires dev resources

Managed scraping: Outsourced to experts, ideal for scale or non-technical teams

Use managed scraping services for large-scale needs, or build Python-based scrapers for targeted projects using frameworks and libraries mentioned above.

🚧 Challenges in Web Scraping (and How to Overcome Them)

Modern websites often include:

JavaScript rendering

CAPTCHA protection

Rate limiting and dynamic loading

To solve this:

Use rotating proxies

Implement headless browsers like Selenium

Leverage AI-powered scraping for content variation and structure detection

Deploy scrapers on cloud platforms using containers (e.g., Docker + AWS)

🔐 Ethical and Legal Best Practices

Scraping must balance business innovation with user privacy and legal integrity. Ethical scraping includes:

Minimal server load

Clear attribution

Honoring opt-out mechanisms

This ensures long-term scalability and compliance for enterprise-grade web scraping systems.

🔮 The Future of Web Scraping

As demand for real-time analytics and AI training data grows, scraping is becoming:

Smarter (AI-enhanced)

Faster (real-time extraction)

Scalable (cloud-native deployments)

From developers using BeautifulSoup or Scrapy, to businesses leveraging API-fed dashboards, web scraping is central to turning online information into strategic insights.

📘 Summary: Web Scraping 101 in 2025

Web scraping in 2025 is the automated collection of website data, widely used for SEO monitoring, price tracking, lead generation, and competitive research. It relies on powerful tools like BeautifulSoup, Selenium, and Scrapy, especially within Python environments. While scraping publicly available data is generally legal, it's crucial to follow website terms of service and ethical guidelines to avoid compliance issues. Despite challenges like dynamic content and anti-scraping defenses, the use of AI and cloud-based infrastructure is making web scraping smarter, faster, and more scalable than ever—transforming it into a cornerstone of modern data strategies.

🔗 Want to Build or Scale Your AI-Powered Scraping Strategy?

Whether you're exploring AI-driven tools, training models on web data, or integrating smart automation into your data workflows—AI is transforming how web scraping works at scale.

👉 Find AI Agencies specialized in intelligent web scraping on Catch Experts,

📲 Stay connected for the latest in AI, data automation, and scraping innovation:

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Kubernetes Architecture Tutorial

🔍 In this video, you’ll learn: ✔️ What is a Kubernetes Cluster (with real-life comparison) ✔️ Control Plane vs Worker Nodes — who does what? ✔️ Role of kubelet, kube-proxy, and the container runtime ✔️ What are Pods, Deployments, and Services (and why they matter) ✔️ Kubernetes vs Docker — do you need both? ✔️ Optional vs Mandatory Kubernetes components 🧩