Eneba’s Post

🚀 #Day19 #90DaysOfDevOps: Mastering Docker Volumes and Networking with Docker Compose! 🚀 Hey, DevOps Fam! 👋 On Day 19 of #90DaysOfDevOps, we're taking another step into the world of Docker Compose by exploring Docker Volumes and Docker Networks – essential tools for creating scalable, data-driven containerized applications. Today’s focus is all about persistent data and seamless communication between containers. Let's dive in! 😃 Docker Volume: Persistent Data for Your Containers With Docker Volumes, we can create dedicated storage spaces accessible by containers, perfect for storing data that we want to keep even if a container is removed. This is crucial for databases or any persistent storage! What’s more, we can share these volumes across multiple containers, letting them read and write to the same data. 📂 Docker Network: Connecting the Dots Docker Networks allow containers to communicate internally and with the host machine, making it easy to connect an application to a database, for instance, or enable multiple containers to share resources. Each container gets isolated storage, but when using Docker Volumes, they can easily share data when needed. Today’s Task 📝 1️⃣ Built a Multi-Container Docker Compose Setup: * Created a docker-compose.yml file with multiple services, like an application and a database container, that can spin up or down together. * Used: * docker-compose up -d to start in detached mode, * docker-compose scale to adjust replicas, * docker-compose ps and docker-compose logs to monitor status. * Stop everything at once with docker-compose down. 2️⃣ Experiment with Docker Volumes: * Created two or more containers that use a shared Docker Volume to read and write data. * Used docker run --mount to manage data mounting, docker exec to verify data consistency across containers, docker volume ls to list volumes, and docker volume rm to clean up. This is where Docker Compose truly shines! Drop a comment with your experiences, or share any tips you have on volumes and networking. Let’s keep this momentum going, team! 🐳💪 #DevOps #Docker #Containers #DockerCompose #DockerVolume #Networking #CloudComputing #TrainWithShubham

Are you signed up for the London DevOps meetup tomorrow? London DevOps will be hosting a meetup at Sainsbury's office via Daemon with two fantastic speakers lined up. It's the final meetup of the year so it's set to be a fun one! If you're going to be in London tomorrow and fancy coming along, check out the details and RSVP via the meetup page. #londondevops #devops #meetup

Your votes are in, and the top topics are: AI & MLOps CI/CD DevSecOps Best Practices in DevOps/ Culture See you at the 4th of december!

You want to see our office before you take the chance to join us as a colleague? here is an option. Or you also can just show up and have a great time with a lot of insights and learning but also fun and good conversations. In any case - you are welcome. see you at #meetup at SQUER! #DevOps #Cloud #CloudNative

🚀 Day 26: Getting Started with Docker Compose 🐳 Exciting news! We're diving deeper into Docker on Day 26 of our DevOps Masterclass. Today, we're exploring Docker Compose, a powerful tool for defining and running multi-container Docker applications. 📋 **Agenda:** 1. Understanding Docker Compose: Learn what Docker Compose is and how it simplifies the process of defining and managing multi-container Docker applications. 2. Creating a Docker Compose File: Dive into the anatomy of a Docker Compose file and discover how to define services, networks, and volumes for your application. 3. Defining Services: Explore how to define individual services within your Docker Compose file, specifying details such as the image, ports, environment variables, and dependencies. 4. Networking: Understand how Docker Compose creates isolated networks for your services, enabling seamless communication between containers while maintaining security and scalability. 5. Volumes: Explore how Docker Compose manages data persistence through volumes, allowing you to share and persist data across container instances. 💡 **Why It Matters:** - Simplified Orchestration: Docker Compose streamlines the process of orchestrating multi-container applications, allowing you to define complex architectures with ease. - Improved Development Workflow: By encapsulating application dependencies and configuration in a single file, Docker Compose enhances collaboration and accelerates the development lifecycle. - Scalability and Portability: With Docker Compose, you can easily scale your application and deploy it across different environments, from development to production. 🔍 **Ready to Dive In?** Join us as we uncover the power of Docker Compose and unleash its potential in your containerized applications. #DevOps #DockerCompose #Containerization #SoftwareDevelopment #ContinuousIntegration 🐳🚀

🚀 New Blog Alert! 🚀 We are excited to announce our latest blog post on Opslearner: "How I Migrated Grafana to Kubernetes: A Step-by-Step Guide" 🌐 Are you looking to harness the power of Kubernetes for your Grafana Labs setup? This comprehensive guide covers everything you need to know to seamlessly migrate Grafana to a Kubernetes environment. Whether you're a seasoned DevOps professional or just getting started with Kubernetes, this guide has got you covered! 💡 🔍 What you'll learn: The benefits of running Grafana on Kubernetes Preparing your environment for migration Step-by-step instructions for deploying Grafana on Kubernetes Best practices for monitoring and scaling your Grafana deployment 📊 Grafana is an incredible tool for visualizing metrics and logs, and running it on Kubernetes takes its scalability and reliability to the next level. Don't miss out on this opportunity to optimize your infrastructure! 👉 Read the full blog post here: https://lnkd.in/duGDKJ7X 🔄 Share your thoughts, ask questions, and let's discuss the future of monitoring on Kubernetes in the comments below. Happy migrating! #Grafana #Kubernetes #DevOps #Monitoring #CloudComputing #TechBlog #Containerization

Want to dive deeper into the world of chaos engineering? Come along to the DevOps Playground this Thursday for a hands-on session on ‘Ghosts in the System: Avoiding System Failures with Chaos Engineering.’ You'll explore the AWS Fault Injection Service and learn how to uncover hidden weaknesses before they can disrupt your users. By the end, you'll have a bag full of insights to keep your platform running smoothly! Join us in person at our Edinburgh office or online. Get all the details here 👉 https://lnkd.in/evPHnabs #DevOpsPlayground #DevOps #ChaosEngineering #AWS Simon Hanmer

🚀 Day 33 of #90DaysOfDevOps with Shubham Londhe: Exploring Kubernetes Namespaces and Services 🎉 Today, I took a deep dive into two key concepts in Kubernetes: Namespaces and Services. 🔹 Namespaces: They allow for isolated environments within the same Kubernetes cluster, making it easier to organize and manage different workloads. 🔹 Services: These are critical for exposing Pods and Deployments to the network, ensuring proper communication and access. What did I do today? Created a new Namespace using the command kubectl create namespace <namespace-name> 🛠️ Updated my deployment.yml file to include the newly created Namespace Applied the deployment with kubectl apply -f deployment.yml -n <namespace-name> and verified the Namespace in my cluster ✅ In addition, I explored more about Services, Load Balancing, and Networking in Kubernetes to enhance my understanding of Kubernetes networking. Check out my latest blog for more information: 👉 https://lnkd.in/gB3Ssbcw Next up, continuing my journey with Kubernetes Services and advanced concepts! 💥 #Kubernetes #Namespaces #Services #DevOps #DevOpsJourney #CloudComputing #Networking #LoadBalancing #90DaysOfDevOps

📌 21 Days of DevOps Interview - Day 13 - Describe strategies for scaling Terraform configurations in large enterprises 📌 Terraform has emerged as a foundation for provisioning infrastructure as code (IaC), but scaling it across large enterprises presents unique challenges. Here's an approach to scale your Terraform strategies: 🏗 Infrastructure Organization ✔️ Sort Your Projects: Group your Terraform setups meaningfully, like by function or whether they're for testing, staging, or live environments. This will help everyone stay on track and minimize mix-ups. ✔️ Workspaces Are Your Friend: Terraform's workspaces allow you to handle different settings without juggling too many files. It's like having separate desks for each project and keeping things tidy. 🧩 Module Design ✔️ Build Once, Use Everywhere: Create Terraform modules for tasks you do often and store them in one place. It's like keeping your tools in a toolbox, ready whenever needed. ✔️ Keep Versions Clear: When you update a module, label it appropriately. Implement semantic versioning for modules to safely manage changes and ensure your infrastructure aligns precisely with the tested versions. 💾 State Management at Scale ✔️ Safe Storage for State Files: Utilize remote backends like AWS S3, coupled with state locking via DynamoDB, to ensure a shared, versioned, and concurrent write-protected state, essential for collaborative environments. ✔️ Break It Down: Split your Terraform state into smaller pieces to keep things clear and quick.  ⚙️ CI/CD Integration ✔️ Automate the Routine: Use tools like Jenkins or GitHub Actions to set up automatic pipelines for your Terraform work.  ✔️ Rules Matter: Incorporate HashiCorp Sentinel or OPA to enforce compliance and governance policies automatically, securing and standardizing infrastructure provisioning. 🏁 Conclusion Adopting these strategic practices allows enterprises to navigate the complexities of scaling Terraform configurations, ensuring efficient, secure, and compliant infrastructure management as you grow. 📚 If you're interested in more in-depth explanation of these topics, please check out my new book “Cracking the DevOps Interview” https://lnkd.in/gWSpR4Dq #Terraform #InfrastructureAsCode #DevOps #CloudInfrastructure #ModuleDesign #StateManagement #CICD #Automation #CloudComputing #ITManagement #Scalability #TechInnovation #devops

William Rizzo's intriguing talk on "The Promise of a Platform" is a must-watch for anyone interested in the future of infrastructure. In this talk, Rizzo discusses the transformative role of Kubernetes in shaping modern infrastructure foundations, heralding a new era of Platform-as-a-Product methodologies. He explains why this transition is not just emerging, but becoming imperative.   Rizzo's discussion navigates the 'hows' and 'whys' of this shift, pinpointing our current trajectory and delineating the optimal path to embark on your Platform-as-a-Service voyage, especially if this is uncharted territory for you. Don't miss out on this insightful talk that will leave you with a deeper understanding of the future of infrastructure.