Florin Lungu’s Post

🚀 New Medium Article Alert! 🚀 Excited to share my latest Medium article where I dive into the world of Docker! Discover the benefits, use cases, and how it can revolutionize your development workflow. Check it out here: https://lnkd.in/gkkH5ep5

WHAT IS A DOCKER & WHY DOCKER ? Docker is an open-source platform that automates the deployment, scaling, and management of applications within lightweight, portable containers. Containers are isolated environments that package an application and its dependencies, allowing it to run consistently across different computing environments. Docker simplifies the development and deployment process by enabling developers to create, deploy, and run applications in containers. ============= Docker Commands ============= 1)Docker Installation and Version: ->docker --version: Check the installed Docker version. ->docker info: Display system-wide information about Docker. 2)Working with Docker Images ->docker pull <image>: Download an image from a Docker registry (e.g., Docker Hub). ->docker images: List all local Docker images. ->docker rmi <image>: Remove a Docker image. ->docker build -t <image-name>:<tag> <path>: Build an image from a ->Dockerfile located at the specified path. docker tag <source-image> <target-image>: Tag an image with a new name. 3)Working with Docker Containers: ->docker run <options> <image>: Create and start a new container from an image. Common options include: -d: Run in detached mode (in the background). -p <host-port>:<container-port>: Map a port on the host to a port in the container. --name <container-name>: Assign a name to the container. ->docker ps: List all running containers. ->docker ps -a: List all containers (running and stopped). ->docker stop <container>: Stop a running container. ->docker start <container>: Start a stopped container. ->docker restart <container>: Restart a running or stopped container. ->docker rm <container>: Remove a stopped container. ->docker exec -it <container> <command>: Execute a command inside a running container (e.g., bash or sh). #DOCKER #Containerization 

Docker is a platform that enables developers to create, deploy, and run applications in isolated environments called containers. These containers bundle an application and its dependencies together, ensuring that the application runs consistently across different computing environments. Docker simplifies the development process by allowing you to package your app with all its necessary components and deploy it seamlessly on various systems. Key features of Docker include containerization, image versioning, and the Docker Hub for image sharing. If you have any specific questions or need help with Docker, feel free to ask! Certainly! Here are some key topics related to Docker: 1. Docker Images: Read-only templates used to create Docker containers. Images are built from a Dockerfile and can be shared via Docker Hub or other registries. 2. Docker Containers: Lightweight, standalone, and executable packages that include everything needed to run an application: code, runtime, libraries, and dependencies. 3. Dockerfile: A script with a set of instructions to build a Docker image. It defines the environment and how the application should be installed and configured. 4. Docker Compose: A tool used to define and run multi-container Docker applications. It uses a YAML file to configure the application’s services, networks, and volumes. 5. Docker Swarm: Docker's native clustering and orchestration tool for managing a cluster of Docker nodes and deploying multi-container applications. 6. Kubernetes: While not exclusive to Docker, Kubernetes is a powerful container orchestration tool often used with Docker for managing containerized applications at scale. 7. Docker Registry: A storage and distribution system for Docker images. Docker Hub is a public registry, but private registries can also be used. 8. Volumes: Docker volumes are used to persist data generated by and used by Docker containers. They are managed by Docker and are stored outside the container filesystem. 9. Networking: Docker provides networking features to connect containers to each other and to the outside world, including bridge networks, overlay networks, and host networks. 10. Docker Security: Involves practices and tools to secure Docker containers, such as scanning images for vulnerabilities, managing secrets, and configuring secure communication between containers. 11. Docker Desktop: A GUI application for managing Docker on Windows and macOS, which includes Docker Engine, Docker CLI, and other tools for development and testing. 12. Docker CLI: Command-line interface tools like docker run, docker build, and docker-compose used to interact with Docker and manage containers and images. #SNSInstitutions #DesignThinking #SNSDesignThinkers

How does Docker work? 🐳 Docker simplifies the process of building, shipping, and running applications using containers. Here's a high-level overview of Docker's architecture and key components: Components of Docker: 🔹 Docker Client: The Docker client is the command-line interface that allows users to interact with Docker. It sends commands to the Docker daemon. 🔹 Docker Daemon (Host): The Docker daemon runs on the host machine and manages Docker objects such as images, containers, networks, and volumes. It listens for Docker API requests from the client. 🔹 Docker Registry: A Docker registry stores Docker images. Docker Hub is a popular public registry where users can discover and share container images. Docker Workflow Example (using `docker run`): 1. Building Images: Developers use `docker build` to create Docker images containing their applications and dependencies.     2. Pushing to Registry: Images can be pushed to a Docker registry (`docker push`) for storage and distribution. This allows teams to share images across environments and deploy applications consistently.     3. Versioning: Docker images can be versioned to track changes and manage releases. Version tags (`latest`, `v1.0`, etc.) help keep track of the current state of the application.     4. Pulling Images: When deploying an application (`docker run`), Docker pulls the specified image from the registry. If a specific version is needed, it can be specified in the image tag.     5. Running Containers: Docker creates isolated containers from images, providing a consistent runtime environment for applications.    Docker's lightweight, portable, and standardised approach to containerisation enables developers to build, ship, and deploy applications seamlessly across different environments. Ready to leverage the power of Docker for your next project? 🚀 #docker #systemdesign #streamliningdeployment #introtodocker

OpenShift is a powerful container application platform that provides developers with a wide range of tools and services for building, deploying, and managing applications. Docker Desktop, on the other hand, is a popular tool for developing and testing containerized applications locally. In this blog post, we will explore how you can use Docker Desktop to develop your application and then deploy it to OpenShift.

🥇 Building and Hosting Docker “Golden” Images A golden image refers to a pre-configured template for your users. If you have ever built a standard image, you most certainly understand the importance of creating consistent images without compromising on ease of deployment. All you need to get started is: ✅ Docker installed locally ✅ A GitHub account We highly recommend you bring the following: 💡 Some familiarity with each of these technologies, access to a terminal or command line interface 💡 A high-level understanding of CI/CD pipelines will also be helpful If you can check all these points, you are ready to go. 🚀 With this workflow, developers can take full advantage of a secure, standardized golden image. Combining this with the Divio platform delivers a reliable, secure, end-to-end application build and deployment pipeline. Find our fully-featured guideline here: https://lnkd.in/eWtMMFsr

OpenShift is a powerful container application platform that provides developers with a wide range of tools and services for building, deploying, and managing applications. Docker Desktop, on the other hand, is a popular tool for developing and testing containerized applications locally. In this blog post, we will explore how you can use Docker Desktop to develop your application and then deploy it to OpenShift.

How Docker 🐬 Works Explained Docker is a platform that simplifies application development and deployment through containerization. ➡️Here's a brief overview of how it works: 1. Developer: Writes code and prepares a Dockerfile with instructions to build an image. 2. Client: Uses Docker commands (docker build, docker pull, docker run, docker push) to interact with Docker. 3. Dockerfile: Script containing instructions to create an image, specifying base images and configurations. 4. Registry: Stores Docker images, which can be pulled or pushed by developers. 5. Docker Host: Runs the Docker daemon, managing images and containers. 6. Docker Daemon: Background service that manages the lifecycle of containers. 7. Images: Templates for creating containers, containing applications and dependencies. 8. Containers: Isolated environments where applications run, sharing the host system's kernel. ➡️Workflow: - Build: Developer creates an image from a Dockerfile. - Push: Image is uploaded to a registry. - Pull: Image is downloaded from the registry. - Run: Container is created and started from the image. Docker ensures applications are portable and consistent across different environments, simplifying deployment and scaling. #Aws#cloud#Devops#Docker#Developer

NEW TUTORIAL: With the explosive growth of containers worldwide, Kubernetes has become a vital component for orchestrating or controlling fleets of these discrete software units. Read our brand new tutorial to see how you can not only deploy your Imply products through Kubernetes, but even automate custom steps, freeing up time and energy for you to try other things. https://bit.ly/3zkDr3Y

Docker Desktop 4.30: Proxy Support with SOCKS5, NTLM and Kerberos, ECI for Build Commands, Build View Features, and Docker Desktop on RHEL Beta 🚀 **Revolutionize Your Development with Docker Desktop 4.30!** 🚀 Hey Tech Enthusiasts and DevOps Professionals! Say hello to Docker Desktop 4.30, the latest update that is setting new benchmarks in development environments. Here's why this release is a game-changer: 1. **Enhanced Productivity**: Docker Desktop 4.30 introduces improvements that streamline workflows. With faster and more reliable performance, your development cycles just got a turbo boost. 🌪️ 2. **Seamless Integration**: For those of us juggling multiple projects, this version offers even smoother integrations with both cloud-based and local development tools. Transitioning between environments has never been this seamless. 🔄 3. **Resource Optimization**: The update brings sophisticated resource management tools, helping you maximize efficiency while minimizing resource wastage. Perfect for those running complex environments. 🔋 4. **User-Centered Design**: Docker has listened to user feedback and incorporated changes that matter to us, the developers. This update not only enhances functionality but also improves usability. 👥 This isn't just another update—it's Docker reinforcing its commitment to empowering developers. We're talking reduced friction, elevated efficiency, and significant strides in continuous integration and deployment pipelines. 👨💻👩💻 What features do you think could further transform our DevOps landscape? Have you tried Docker Desktop 4.30 yet? Share your thoughts and experiences below! Let's dive deep into the transformational capabilities of Docker 4.30 and push the boundaries of development together. #DevOps #CloudComputing #DockerDesktop #ITInnovation #TechTalk 🔗 [Explore Docker Desktop 4.30 Here](https://lnkd.in/eQv4Enhc) 📢 Feel free to share this post and spread the word in your tech circles; let’s keep the conversation growing! https://lnkd.in/eQv4Enhc