Ala Shiban’s Post

Docker is an open-source platform that automates the deployment, scaling & management of applications. It uses containerization to ensure that applications run consistently across different environments. Containers: Lightweight, standalone & executable packages that include everything needed to run a piece of software, including code, runtime, system tools, libraries & settings. Images: Immutable templates used to create containers. They are built from a Dockerfile & contain the application code and dependencies. Dockerfile: A script containing a series of instructions on how to build a Docker image. Docker Engine: The runtime that manages & runs Docker containers. Docker Hub: A cloud-based registry service where Docker images can be stored and shared. Benefits : Consistency: Ensures that the software behaves the same in different environments. Efficiency: Containers are more lightweight than traditional virtual machines, sharing the host system’s kernel & resources. Portability: Docker containers can run on any system that supports Docker, making it easy to move applications between environments. Isolation: Containers run in isolated environments, reducing conflicts between software dependencies. ------------------------------------------------------------------------------- Kubernetes is an open-source platform designed for automating the deployment, scaling& operation of containerized applications. It orchestrates containerized applications to ensure high availability, scalability & manageability. Cluster: A set of nodes (machines) that run containerized applications. Node: A single machine in a Kubernetes cluster, which can be either a physical machine or a virtual machine. Each node runs pods. Pod: The smallest deployable unit in Kubernetes, consisting of one or more containers that share storage, network & a specification for how to run the containers. Deployment: A resource that provides declarative updates to applications. It manages the deployment & scaling of a set of pods. Service: An abstraction that defines a logical set of pods & a policy by which to access them. It enables network access to a set of pods. ConfigMap & Secret: Mechanisms to manage configuration data & sensitive information, respectively. Benefits Automated Rollouts and Rollbacks: Manages the deployment of changes & can automatically roll back changes if something goes wrong. Self-Healing: Automatically restarts failed containers, replaces & reschedules them & kills containers that don’t respond to user-defined health checks. Horizontal Scaling: Easily scales applications up or down based on demand. Service Discovery & Load Balancing: Exposes containers using DNS names or IP addresses & balances the load across containers. Resource Management: Efficiently manages resources for containerized applications.

🚀 Docker Swarm Cluster with Jenkins CI/CD on AWS 🐳🌍 I’m excited to share my recent project where I built a Docker Swarm cluster and implemented CI/CD using Jenkins on AWS EC2 instances! Here's a breakdown of what I achieved: 🔧 Infrastructure Setup: Deployed a Docker Manager on a 🖥️ t2.medium EC2 instance and set up two Docker Worker Nodes ⚙️⚙️. Installed 🐳 Docker on all three servers and created a Docker Swarm Cluster with the manager controlling the two worker nodes. 🤖 Automation with Jenkins: Installed Jenkins on the manager node via shell scripts to automate the CI/CD process 📜🔄. Built a Jenkins Pipeline to automate Docker image creation 🏗️, tagging 🏷️, and pushing the images to Docker Hub ⬆️📦. 🚀 Application Deployment (Demo Services): Created an index.html, a custom Dockerfile, and a docker-compose.yml file to deploy demo services: 🎬 Movies, 📺 Cartoons, 🏦 Bank, and 📰 News, each running 3 replicas 🔄 for demonstration purposes. Set up another Jenkins pipeline to automate the deployment across the Swarm Cluster 📥🚢. After deployment, all Manager and Worker Nodes run 3 replicas of each demo service, ensuring high availability and scalability 💪✨. 🔗 Check out the project repo: "https://lnkd.in/gUeqj8Vx" 🔗 Source Code: "Credits goes to respective owners" #Docker | #AWS | #Jenkins | #CI/CD | #Automation | #CloudComputing | #Containers | #Infrastructure | #SoftwareDevelopment | #Demos

I recently developed a CI/CD pipeline for automating the build, push, and deployment of a Dockerized Django application. By integrating Jenkins with AWS EC2, I streamlined the development workflow and automated the deployment process. This setup enhances efficiency and ensures that the application is up-to-date and scalable. Here’s a breakdown of the pipeline: a. Clone the application code from a GitHub repository. b. Build a Docker image for the application. c. Push the Docker image to Docker Hub. d. Deploy the Docker container. #DevOps #Jenkins #Docker #AWS #EC2 #CICD #Automation #SoftwareDevelopment

🚀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘄𝗶𝘁𝗵 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺! 🌐 I'm excited to share with you my recent projects on automating infrastructure with Infrastructure as Code (IaC) using Terraform 👩💻. In these projects, I demonstrated how to automate the deployment and management of infrastructure resources using a combination of tools and technologies. 𝙋𝙧𝙤𝙟𝙚𝙘𝙩 16: 𝘼𝙪𝙩𝙤𝙢𝙖𝙩𝙚 𝙄𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚 𝙬𝙞𝙩𝙝 𝙄𝘼𝘾 𝙪𝙨𝙞𝙣𝙜 𝙏𝙚𝙧𝙧𝙖𝙛𝙤𝙧𝙢 - 𝙋𝙖𝙧𝙩 1 🛠️ I started by setting up a Terraform project and creating infrastructure resources such as virtual machines, networks, and storage. I also created an AWS S3 bucket to store and manage my Terraform state files. 𝙋𝙧𝙤𝙟𝙚𝙘𝙩 17: 𝘼𝙪𝙩𝙤𝙢𝙖𝙩𝙚 𝙄𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚 𝙬𝙞𝙩𝙝 𝙄𝘼𝘾 𝙪𝙨𝙞𝙣𝙜 𝙏𝙚𝙧𝙧𝙖𝙛𝙤𝙧𝙢 - 𝙋𝙖𝙧𝙩 2 🧑🏾💻 I then dove deeper into Terraform modules, creating reusable and modular infrastructure code. I also explored using Ansible to automate the provisioning and configuration of my infrastructure resources. 𝙋𝙧𝙤𝙟𝙚𝙘𝙩 18: 𝘼𝙪𝙩𝙤𝙢𝙖𝙩𝙚 𝙄𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚 𝙬𝙞𝙩𝙝 𝙄𝙖𝘾 𝙪𝙨𝙞𝙣𝙜 𝙏𝙚𝙧𝙧𝙖𝙛𝙤𝙧𝙢 - 𝙋𝙖𝙧𝙩 3 🤝🏼 Next, I learned how to use Packer to create custom machine images for my infrastructure resources. I also showcased how to integrate Packer with Terraform to automate the deployment of my infrastructure. 𝙋𝙧𝙤𝙟𝙚𝙘𝙩 19: 𝘼𝙪𝙩𝙤𝙢𝙖𝙩𝙚 𝙄𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚 𝙬𝙞𝙩𝙝 𝙄𝙖𝘾 𝙪𝙨𝙞𝙣𝙜 𝙏𝙚𝙧𝙧𝙖𝙛𝙤𝙧𝙢 - 𝙋𝙖𝙧𝙩 4 ,🚀 Finally, I demonstrated how to deploy a web application using Terraform and Ansible, and how to use the Terraform website to manage and visualize my infrastructure resources. These projects demonstrate my skills in automating infrastructure deployment and management using Terraform, Ansible, and Packer, and I'm excited to share my knowledge with the community. Check out the projects on GitHub: https://lnkd.in/d6xR_T7p #DevOps #InfrastructureAsCode #Terraform #Ansible #Packer #AWS #S3 #Automation #CloudComputing #IaC #CI/CD #DevOpsEngineer #CloudEngineer #hcl #github StegHub Gabriel Akinmoyero

🚀 **Unlocking the Power of Continuous Deployment** **CI/CD pipelines** - Automating the tedious process of building, testing, and deploying code changes. In the past, setting up such pipelines was a pain. You had to wrangle with servers and write countless scripts. But not anymore! With services like **GitHub Actions**, it's a breeze. Imagine declaring your entire pipeline in one YAML file and it is being done in minutes. That's the power of GitHub Actions - right there next to your repo, free, and handling all the heavy lifting. But how does it work for .NET microservices and Azure Kubernetes Service (AKS)? 🤔 ✅ Generate versions for your .NET Docker images ✅ Build and push images to Azure Container Registry (ACR) ✅ Deploy containers to AKS using the popular Helm tool Ready to supercharge your deployment process?👨💻🔥 #CI #CD #GitHubActions #AzureKubernetesService #DevOps

🔧 **Understanding Terraform Module Blocks** 🌍 ### What is a Terraform Module? A module is a container for multiple resources that are used together. Think of it as a blueprint for your infrastructure that you can reuse and share. ### Why Use Modules? - **Reusability:** Write once, use anywhere. - **Maintainability:** Easier to manage changes. - **Consistency:** Ensure uniformity across environments. ### Basic Structure of a Module Block module "mknetwork" { source = "./module_directory" # Pass in variables if needed variable_name = "value" } ### Key Points to Remember 1. **Source:** Defines where the module is located. 2. **Variables:** Customize the module's behavior. 3. **Outputs:** Modules can output values for use in other parts of your configuration. ### Best Practices - **Organize:** Keep your modules in a separate directory. - **Document:** Always include a README.md with usage instructions. - **Version Control:** Use version constraints to ensure stability. By leveraging modules, you can simplify complex configurations and promote DRY (Don't Repeat Yourself) principles in your Terraform projects. Let's make infrastructure management easier and more efficient! #Terraform #InfrastructureAsCode #DevOps #CloudComputing #IaC #DevOpsInsiders

𝐃𝐚𝐲 45: 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐄𝐂2 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 🚀🔥 Hello, guys! 👋 Up until now, we've been manually setting up EC2 instances. But why do things manually when you can automate the process? That’s where Terraform comes into play! 💡 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦? Terraform is a powerful Infrastructure as Code (IaC) tool that helps automate the creation, management, and updating of infrastructure resources—like virtual machines, networks, and storage. It ensures repeatability, scalability, and precision, saving us time and reducing errors. 🔹 𝐓𝐚𝐬𝐤 1: Start by installing Terraform on your system. Follow this [link] for installation instructions. 🔹 𝐓𝐚𝐬𝐤 2: Let’s answer a few key questions: 1. Why use Terraform? 2. What is Infrastructure as Code (IaC)? 3. What is a Resource? 4. What is a Provider? 5. What’s the State File in Terraform and why is it important? 6. What are Desired and Current States? Time to gear up for the next level of automation with Terraform! 🌍💻 Stay tuned for more updates on how I automate my infrastructure using #Terraform. 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐚 𝐠𝐚𝐦𝐞-𝐜𝐡𝐚𝐧𝐠𝐞𝐫! 🔧✨ #DevOps #Automation #InfrastructureAsCode #Terraform #AWS #CloudInfrastructure #60DaysOfDevOps #TechJourney #CloudComputing #DevOps #Jenkins #CICD #AWS #LearningJourney #Automation #DevOps #Jenkins #CI/CD #PipelineAsCode #LearningJourney #Automation #TechCommunity #DevOps #Jenkins #Documentation #LearningJourney #VideoEditingStruggles #NodeJS #Docker #FreestyleProject #Automation #CI_CD #TechSkills #KnowledgeSharing #DockerVolumes #DockerNetworks #DockerCompose #YAML #TechCommunity #Linux #Git #GitHub #VersionControl #SoftwareDevelopment #100DaysOfCode #Programming #DevOpsChallenge #60DaysChallenge #ContinuousImprovement #TrainWithShubham #AWS #shubhamlondhe #Ansible #CloudComputing #SoftwareEngineering #TechLearning #Innovation #CareerGrowth #TechnologyTrends

🚀 Project Spotlight: Automating Infrastructure Setup with AWS, Jenkins, Docker 🚀 Sharing my latest task where I successfully set up an automated environment using AWS EC2, Jenkins, Docker 🔧 Project Highlights: AWS EC2 Setup: Deployed a robust and scalable environment using Ubuntu 20.04 LTS, with custom configurations for storage, network, and security groups. Jenkins CI/CD Pipeline: Installed Jenkins for automating the CI/CD pipeline, ensuring seamless integration and delivery with every code push. Docker Integration: Leveraged Docker to containerize a django application, enabling consistent environments across development and production. django Application Deployment: Built and deployed a django application within a Docker container, exposing it on port 8000 for easy access. Jenkins & Docker Synergy: Integrated Jenkins with Docker to automate the build and deployment of the Node.js application, ensuring fast and reliable rollouts. 💡 Key Takeaways: Automating infrastructure setup and application deployment not only saves time but also ensures consistency across different environments. Leveraging AWS, Jenkins, and Docker together can significantly streamline the development and deployment processes. This project has been a great opportunity to deepen my expertise in cloud infrastructure, automation, and containerization. I’m excited about the potential of these technologies to drive efficiency and innovation. Looking forward to applying these skills to future projects! 💼✨ #AWS #Jenkins #Docker #CI/CD #Automation #CloudComputing #DevOps #InfrastructureAsCode

🚨 'Permission Denied' error in Docker: -> After an upgrade, sometimes we got the permission denied error. Despite following all the post-install steps, including confirming that user was part of the Docker group, nothing seemed to work. That time we have to check the permission of the the path (/var/run/docker.sock) and need to fix it. sudo chmod 666 /var/run/docker.sock -> If creating a docker group and adding your user to it doesn't work, then this one will be the second alternative: sudo chown $USER /var/run/docker.sock #Docker #DevOps #Troubleshooting #PermissionDenied #AWS #Kubernetes #Automation

New 📚 Release! AWX in Action: Ansible Orchestration at Scale by Aymen El Amri Unlock more of Ansible's superpowers with AWX Find it on Leanpub! #cloudcomputing #AWS #DevOps #ansible #programming Link: https://lnkd.in/gzWT6xtj