DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning

☁️ AWS Cloud All End-to-End Content 2024 ⚡️ ➡️ This Includes: - All AWS Content - AWS Realtime scenarios - All AWS Exercises with solutions - No More AWS PDFs needed - Easy to Learn from anywhere - Detailed Explanation guide - All AWS services for DevOps Engineer 🖥 Link : https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/aws 📱 Follow me on GitHub : https://www.github.com/NotHarshhaa 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

✅ Dockerfile Best Practices 🛠 🖋 Writing efficient Dockerfiles is crucial for creating optimized Docker images that are lightweight, secure, and easy to maintain. Let's explore some best practices for Dockerfile development: ⚡️. Minimize the Number of Layers: Each Dockerfile instruction adds a layer to the image. To reduce image size and improve build speed, combine related commands with multi-line RUN statements and chain them using &&. ⚡️. Use .dockerignore Files: Like .gitignore, .dockerignore files exclude specified files and directories from the Docker build context, making images smaller and more efficient by avoiding unnecessary file copies. ⚡️. Leverage Docker Build Cache: Docker uses a cache to speed up builds by reusing layers. To optimize caching, place frequently changing commands later in the Dockerfile and use specific version tags for base images and dependencies. ⚡️. Optimize Image Size: Reduce Docker image size by removing unneeded dependencies and files. Use lightweight base images like Alpine Linux and avoid installing extra packages. ⚡️. Clean Up After Installation: When installing packages, remove temp files, cache, and metadata with commands like apt-get clean, yum clean, or apk to reduce image size. ⚡️. Secure Image Building: Secure Docker images by scanning for vulnerabilities, using non-root users, limiting privileged commands, and following least privilege in Dockerfiles. ⚡️. Document Image Build Process: Add comments in Dockerfiles to explain each step, document dependencies, and provide build instructions for easier maintenance and troubleshooting. 💬In summary, Dockerfile best practices lead to efficient, secure, and maintainable images, enhancing performance, reliability, and security in containerized environments.

Following these practices streamlines building, deploying, and managing images in production.

📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

▶️ Conventional Vs Kubernetes CI/CD Pipelines Kubernetes brings distinct paradigms that impact everything from artifact handling to deployment strategies. 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

▶️ Recent Interview Experience: 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗕𝗮𝘀𝗲𝗱 𝗖𝗼𝗺𝗽𝗮𝗻𝘆 ▶️ 𝗗𝗲𝘃𝗢𝗽𝘀 𝗥𝗼𝗹𝗲 𝗘𝘅𝗽 𝗥𝗮𝗻𝗴𝗲: 𝟯-𝟱 𝘆𝗿𝘀 These 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼 𝗯𝗮𝘀𝗲𝗱 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 covered a wide range of technical and behavioural topics. Sharing some key questions that faced during the interview: 1. How would you handle a situation where a deployment script fails mid-way? What rollback mechanisms would you implement? 2. Explain the difference between a blue-green deployment and a canary deployment. When would you use each? 3. What are some common challenges in CI/CD, and how have you solved them in your projects? 4. Explain how you would troubleshoot a pipeline error in Jenkins related to dependency mismatches. 5. How would you implement security in a CI/CD pipeline to ensure compliance and prevent vulnerabilities? 6. What are the differences between Jenkins and GitHub Actions, and when would you choose one over the other? 7. How would you use Ansible in a CI/CD pipeline to deploy applications to multiple environments? 8. Explain the role of playbooks and inventory files in Ansible for deployment automation. 9. How would you handle testing in a CI/CD pipeline to ensure changes don’t affect production? 10. What are the considerations for setting up a continuous deployment process in a cloud environment like AWS or Azure? ▶️ Scenario based: 11. If CPU utilization on a server is consistently above 90%, what steps would you take to investigate and address the issue? 12. Imagine you need to migrate a high-performance computing (HPC) infrastructure to the cloud. How would you ensure a seamless transition while maintaining availability and performance? 13. Your team is experiencing increased latency in database queries due to high traffic. What steps would you take to diagnose and reduce this latency? 14. Suppose there’s a sudden surge in cloud costs. How would you go about identifying the cause and reducing unnecessary expenses? 15. Tell me how you previously reduced cloud expenditure by 20%. 16. You’ve been asked to design a logging and monitoring solution for a new application. What factors would you consider, and how would you prioritize them? 17. Imagine you are responsible for managing SSL/TLS certificates across multiple environments. How would you ensure they’re up to date and compliant with security standards? 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔔 How to Create a Software Deployment Pipeline in Jenkins! Jenkins is a popular automation server that can be used to automate the CI/CD pipeline. In this post we will learn how to use Jenkins to automate the following steps: ✅Checkout code from version control: Jenkins can be configured to automatically checkout code from a version control system, such as GitHub. ✅Compile code: Jenkins can use a variety of build tools, such as Maven or Gradle, to compile the code. ✅Run unit tests: Jenkins can run unit tests to ensure that the code is working properly. ✅Build a Docker image: Jenkins can build a Docker image from the compiled code. ✅Push Docker image to registry: Jenkins can push the Docker image to a Docker registry, such as Docker Hub. ✅Deploy to Kubernetes: Jenkins can notify Kubernetes of the new Docker image and deploy it to a Kubernetes cluster. Jenkins can be used to automate the CI/CD pipeline for any type of application. Here are some of the benefits of using Jenkins for CI/CD: 📌Automated: Jenkins can automate the entire CI/CD pipeline, which can save time and effort. 📌Scalable: Jenkins can be scaled to handle large and complex projects. 📌Flexible: Jenkins can be configured to meet the specific needs of any project.

There are many different ways to create a CI/CD pipeline. One popular approach is to use a tool like Jenkins or CircleCI. These tools can help to automate the steps involved in building, testing, and deploying software applications. Overall, Jenkins is a powerful tool that can help businesses to improve the speed, quality, and reliability of their software development process. By automating the build, test, and deployment process, Jenkins can help to free up developers to focus on more creative and strategic work.

🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

8 FREE💲Udemy Docker Courses from Beginner to Professional 🚀 ➡️ Beginners 🔵 Docker for the Absolute Beginner ➡️ https://lnkd.in/eSDNg-Xv 🟡 Docker Tutorial for Beginners practical hands on -Devops ➡️ https://lnkd.in/eTGeQ_dW 🩷 Docker Essentials ➡️ https://lnkd.in/edTFpFxY 🔴 Docker Before Compose - Learn Docker by Example ➡️ https://lnkd.in/eq3_w-7N 🟤 Learn Docker Quickly: A Hands-on approach to learning docker ➡️ https://lnkd.in/ededr6U2 ➡️ Professional 🟢 Are You a PRO Series - Docker & Swarm Real Challenges ➡️ https://lnkd.in/em48h_qK 🔵 Docker Swarm Courses ➡️ https://lnkd.in/emr6AaK8 🔴 Building Application Ecosystem with Docker Compose ➡️ https://lnkd.in/eaa43R2f 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

Here are some common GitHub-related issues that DevOps engineers encounter, along with their solutions: 1️⃣. Merge Conflicts: Issue: When multiple contributors modify the same file simultaneously, merge conflicts occur during pull requests. Solution: Resolve conflicts by carefully reviewing conflicting changes and manually merging them. 2️⃣. Authentication Issues: Issue: Improper authentication (SSH keys or personal access tokens) can lead to problems when pushing or pulling from repositories. Solution: Ensure correct authentication methods to avoid issues. 3️⃣. Git Submodules: Issue: Managing Git submodules can be challenging. Solution: Understand how submodules work and handle them correctly. 4️⃣. Large Files and LFS: Issue: GitHub has a file size limit. Large binary files can cause issues. Solution: Use Git LFS (Large File Storage) for managing large files. 5️⃣. Branch Protection Rules: Issue: Accidental force pushes or direct commits to protected branches. Solution: Set up branch protection rules to prevent such actions. 6️⃣. Rate Limiting: Issue: GitHub API requests are rate-limited. Solution: Use tokens and avoid excessive requests. 7️⃣. Repository Permissions: Issue: Incorrect permissions for collaborators. Solution: Ensure proper permissions to avoid unauthorized access. 8️⃣. Webhooks and CI/CD Failures: Issue: Debugging webhook and CI/CD failures. Solution: Check logs and configurations to identify and fix issues.

Remember, addressing these challenges will enhance your DevOps skills! 😊🚀

📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⭐️ 50 Jenkins Tips & Tricks with detailed examples 🔖 Are you a DevOps Enthusiast looking to explore different tools? If yes, then you have landed at the right place. DevOps Engineers are the most demanded and paid professionals all around the world. With this in mind let me introduce you to the most popular DevOps Tool, Jenkins. This Jenkins tips & tricks is for beginners who have prior knowledge about how a software development process occurs. 𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘: 🖥 https://prodevopsguy.site/jenkins-tips-tricks-with-detailed-examples 😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 50 DevOps Project Ideas: From Beginner to Advanced! 🚀 Looking to level up your DevOps skills? Dive into this comprehensive list of project ideas, perfect for building real-world experience and mastering essential DevOps concepts: 👍 Automation — Streamline repetitive tasks 👍 CI/CD Pipelines — Develop faster and more reliably 👍 Containerization — Work with Docker and Kubernetes 👍 Monitoring & Logging — Gain insights into performance 👍 Cloud & IaC — Build scalable cloud infrastructures 👍 Security — Integrate DevSecOps practices Whether you're a beginner or looking for advanced challenges, these projects cover it all! ✅Check it out here: https://dev.to/prodevopsguytech/50-devops-project-ideas-to-build-your-skills-from-beginner-to-advanced-3e07 ❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🟢 𝐖𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐝𝐨? DevOps engineers are IT professionals who play a crucial role in modern software development. They work like bridge builders, connecting the worlds of development and operations to create a smooth and efficient software delivery process. Here's a glimpse into what they do: ➡️𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐢𝐧𝐠 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: Imagine a well-oiled machine – that's what DevOps engineers strive for in software development. They automate repetitive tasks like testing and deployment, freeing up valuable time for developers and operations teams. ➡️𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐂𝐡𝐚𝐦𝐩𝐢𝐨𝐧𝐬: DevOps engineers believe in teamwork! They foster communication and collaboration between developers and operations, ensuring everyone is aligned and working towards the same goals. ➡️𝐓𝐨𝐨𝐥 𝐌𝐚𝐬𝐭𝐞𝐫𝐬: The world of DevOps utilizes a variety of tools to automate tasks and improve efficiency. DevOps engineers select, implement, and manage these tools, ensuring they work seamlessly together. ➡️𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐒𝐨𝐥𝐯𝐞𝐫𝐬: Things don't always go according to plan, and that's okay! DevOps engineers are skilled troubleshooters who identify and resolve issues throughout the development lifecycle, keeping the software on track. ➡️𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐯𝐨𝐜𝐚𝐭𝐞𝐬: Security is paramount! DevOps engineers champion secure development practices, ensuring the software is built with security in mind from the very beginning. ➡️𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭 𝐂𝐡𝐚𝐦𝐩𝐢𝐨𝐧𝐬: The world of technology is ever-evolving, and DevOps engineers are too! They constantly seek ways to improve the development process, implementing new tools and methodologies to stay ahead of the curve. ➡️𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐬: DevOps engineers keep a watchful eye on the software's performance after deployment. They use monitoring tools to identify and address any bottlenecks or issues that might impact user experience. ➡️𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: While not always the primary focus, some DevOps engineers may also be involved in managing and provisioning the infrastructure needed to run the software. This could include servers, cloud platforms, and network resources. ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

➡️Don't set unreal expectations from your first Cloud-DevOps job: • You won’t be asked to build a pipeline on day 1. • You won’t be updating the YAMLs on day 2. • You won’t be modernising the entire infrastructure with Terraform or Crossplane. • You won’t be automating anything and everything you see. • You won’t be asked to create custom dashboards. • You won’t be asked to replace Jenkins with GitLab. • You won't be handling a full-scale data migration alone. • You won’t be asked to spend your weekend troubleshooting that late Friday push. ⚠️ Set the expectations low, every company has their unique definition of Cloud-DevOps. 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 New Update to the Kubernetes Learning Path Repository! 🚀 I'm excited to announce a major update in my Kubernetes Learning Path on GitHub! 🎉 This update brings: - 📑 Detailed Table of Contents with easy navigation links. - 📚 Expanded Sections covering: - Advanced Kubernetes Networking 🌐 - Observability & Monitoring 📊 - Cluster Management & Maintenance 🔧 - Security Best Practices 🔒 - Deployment Strategies 🚀 - Troubleshooting Clusters 🛠 - And more resources! These enhancements aim to make learning Kubernetes from scratch to advanced levels easier and more structured. Dive in, explore, and accelerate your Kubernetes journey! 📱 Check it out here ➡️ https://github.com/NotHarshhaa/kubernetes-learning-path Happy Learning! #DevOps #Kubernetes #CloudComputing #LearningPath #GitHubUpdate

🔍 Advanced Shell Scripting Techniques: ⚙️ 🖥 1. Working with Arrays 2. Using xargs for Parallel Execution 3. Command Substitution for Dynamic Inputs 4. Using awk for Text Processing 5. Loops and Recursion for Complex Tasks 6. Secure Script Handling with gpg Encryption 7. Using trap for Handling Signals 8. Debugging with set -x and set -v 9. Parsing JSON with jq 10. Handling File Descriptors for Efficient I/O 11. Working with Databases in Shell Scripts 12. Using tmux for Script Execution in Multiple Sessions 13. Improving Performance with parallel - Use parallel to run tasks in parallel, increasing the performance of your scripts, especially when dealing with multiple files or servers. 14. Using sudo Safely in Scripts 15. Using time to Measure Script Performance 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

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𝘾𝙧𝙮𝙞𝙣𝙜 𝙞𝙣 𝙔𝘼𝙈𝙇 🥲 ➡️ 𝟭𝟭 𝘄𝗮𝘆𝘀 𝘁𝗼 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆 𝗗𝗲𝗯𝘂𝗴 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗶𝘀𝘀𝘂𝗲𝘀: 1. 🛠 Utilize kubectl commands for quick diagnostics. 2. 🖥 Leverage the Kubernetes Dashboard for visual debugging. 3. 🚀 Use ephemeral containers for troubleshooting without modifying pod state. 4. 📜 Explore logs with stern for efficient log monitoring. 5. 🚪 Use kubectl port-forward for direct access to services. 6. ⚙️ Implement probes for automated health checks. 7. 🗓 Analyze cluster events with kubectl get events. 8. 🌐 Network troubleshooting with netshoot. 9. 📊 Performance monitoring with Prometheus and Grafana. 10. 💻 Inspect container filesystems with kubectl exec. 11. 📈 Analyze resource usage with Metrics Server. Share this to help other DevOps Engineers ♻️🤝 ✔️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs