📌 Essential Skills to Master Before Diving into Ansible! Ansible is a game-changer in the world of IT automation, making tasks easier and more efficient. But before you start using it, setting a solid foundation can make all the difference! Here are the key skills to build before diving into Ansible. 🚀 1️⃣ Linux Command Basics Ansible is widely used on Linux-based systems, so having a solid grasp of Linux commands—especially for managing files, users, and permissions—is crucial for success. 🐧 2️⃣ SSH Configuration and Usage Ansible uses SSH to communicate with nodes, so understanding SSH setup and key-based authentication (for secure, password-free access) is a must! 🔑 3️⃣ YAML Familiarity Playbooks in Ansible are written in YAML, so learning the syntax and format will make it easier to write and read clear, structured configurations. 📝 4️⃣ Python Fundamentals Ansible is built in Python, and many modules rely on Python libraries. You don’t need advanced skills, but basic Python knowledge will definitely help with troubleshooting. 5️⃣ Networking Basics Understanding IP addresses, subnets, and ports will be useful, especially if you’re configuring Ansible for complex networking tasks or managing multi-environment setups. 🌐 6️⃣ Inventory Management Skills Organizing target nodes efficiently is essential for smooth automation. Knowing how to use inventory files and manage hosts and groups will help you run tasks more effectively. With these foundational skills in place, you'll be well-prepared to harness the full power of Ansible and take your automation skills to the next level! 💼✨ #DevOps #Ansible #Automation #Linux #YAML #Python #Networking #ITSkills
Amaan Shah’s Post
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🚀 Day 11 of my #90DaysOfDevOps Challenge ! Today, I dived deep into Error Handling in Shell Scripting! 🐚 Mastering error handling is crucial for building robust scripts that can handle unexpected situations gracefully. 💻 Here’s what I covered: 🔹 Exit Status: Every command returns an exit status. Learned how to check and act on it! 🔹 if Statements: Used them to check for errors at multiple steps. 🔹 trap Command: Cleaned up temporary files even when the script exits unexpectedly. 🔹 Redirecting Errors: Redirected errors to logs for cleaner debugging. 🔹 Custom Error Messages: Created meaningful messages to give more context when things go wrong. Sample scripts and practical exercises helped me solidify these concepts. Feeling more confident about writing reliable and maintainable bash scripts now! 🚀 Check out my blog for detailed examples and a breakdown of today's tasks : https://lnkd.in/e-Bxy-Ep #DevOps #ShellScripting #Linux #ErrorHandling #Bash #LearningJourney #90DaysOfDevOps #TrainWithShubham
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Day8 to pro🚀 in Devops♾️:Shell scripting Challenge🐧 Hey LinkedIn Community! I'm thrilled to share my latest adventure in the world of DevOps with you all!🌟.Today, I took on a series of exciting shell scripting challenges that pushed my skills to the next level. From writing comments and using variables to working with built-in variables and wildcards, these tasks were both educational and fun. If you're curious about how shell scripting can streamline your workflow and make your life easier, keep reading! Let's dive into the scripts and see what I learned! 📜💡 Happy Learnings✨ #90DaysOfDevops #TrainWithShubham #Linux #Devops #Automation
Day8 to pro🚀 in Devops♾️:Shell scripting Challenge🐧
galaxyworld365.hashnode.dev
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🔥 Day 8 of #90DaysOfDevOps: Shell Scripting Challenge 🖥️ Today’s task was all about mastering the basics of Bash Scripting, and it was an exciting deep dive into creating dynamic scripts to automate tasks! 💡 Key Challenges Completed: > Comments in Bash: Added comments to explain the purpose of each section in the script—keeping code readable and maintainable is crucial! 📝 > Echo Command: Created a script using the echo command to print a personalized message—because automation can also be fun! > Variables: Declared and assigned values to variables, learning how Bash stores and processes data. > Using Variables for Arithmetic: Took two variables as input and calculated their sum—simple, yet powerful in showcasing automation possibilities. > Built-in Variables: Leveraged Bash’s built-in variables to display system information dynamically—very handy for system scripts! > Wildcards: Created a script to list all files with a specific extension in a directory using wildcards. This is key when managing large numbers of files! 📜 I wrapped it all up into a single bash script with detailed comments explaining each part. Bash scripting is proving to be a game-changer in automating repetitive tasks. Feeling more empowered each day as I level up in DevOps! 🚀 #DevOps #ShellScripting #Bash #Linux #Automation #CloudComputing #LearningByDoing #Day8 #90DaysOfDevOps #TrainWithShubham #HappyLearning
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Docker ✨ What You’ll Learn: Understanding Containers: The difference between containers and traditional virtualization. 📦 Getting Started with Docker: Installation and basic commands to kick off your journey. 🛠️ Creating Docker Images: How to build, manage, and optimize your images for deployment. 🖼️ Docker Compose: Simplifying multi-container applications for easy management. 🔗 Best Practices: Tips for writing efficient Dockerfiles and maintaining your containers. 📝 By mastering Docker, you’ll enhance your workflow and boost your productivity like never before! What are your favorite Docker tips or projects? Share your experiences in the comments! 💬 🎓 Want to Master Docker? Explore our tutorials on containerization, orchestration, and best practices to streamline your development workflow! 🐳 💡Docker Essentials | Free Courses 🔗https://lnkd.in/dzfaqNys 💡Net DevOps: Cisco Python, Automation, NETCONF, SDN with Docker | Free Courses 🔗https://lnkd.in/d6Mpz-CZ 💡Hands-On Docker for Java Developers | Free Courses 🔗https://lnkd.in/dRCgGcps 💡Docker on Windows 10 and Server 2016 🔗https://lnkd.in/dcr9ETrY 💡Understanding Docker in about an Hour 🔗https://lnkd.in/dXeGN_KZ 💡WSL 2, Docker, Kali Linux and Windows Terminal - Get Started | Free Courses 🔗https://lnkd.in/dvtHJP7r Happy Learning ⭐ #Free #FreeCourses #courses #programming #Docker #Docker #Containerization #DevOps #WebDevelopment Credit goes to Mayank Ahuja
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Docker ✨ What You’ll Learn: Understanding Containers: The difference between containers and traditional virtualization. 📦 Getting Started with Docker: Installation and basic commands to kick off your journey. 🛠️ Creating Docker Images: How to build, manage, and optimize your images for deployment. 🖼️ Docker Compose: Simplifying multi-container applications for easy management. 🔗 Best Practices: Tips for writing efficient Dockerfiles and maintaining your containers. 📝 By mastering Docker, you’ll enhance your workflow and boost your productivity like never before! What are your favorite Docker tips or projects? Share your experiences in the comments! 💬 🎓 Want to Master Docker? Explore our tutorials on containerization, orchestration, and best practices to streamline your development workflow! 🐳 💡Docker Essentials | Free Courses 🔗https://lnkd.in/dzfaqNys 💡Net DevOps: Cisco Python, Automation, NETCONF, SDN with Docker | Free Courses 🔗https://lnkd.in/d6Mpz-CZ 💡Hands-On Docker for Java Developers | Free Courses 🔗https://lnkd.in/dRCgGcps 💡Docker on Windows 10 and Server 2016 🔗https://lnkd.in/dcr9ETrY 💡Understanding Docker in about an Hour 🔗https://lnkd.in/dXeGN_KZ 💡WSL 2, Docker, Kali Linux and Windows Terminal - Get Started | Free Courses 🔗https://lnkd.in/dvtHJP7r Happy Learning ⭐ #Free #FreeCourses #courses #programming #Docker #Docker #Containerization #DevOps #WebDevelopment Credit goes to Mayank Ahuja
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Day 33: Automating with Ansible Ansible has experienced growth in the automation arena in many ways. It has had its roots as mostly for configuration management. With development, it has turned upside down. Today, a single tool, Ansible, is used both as a configuration management and deployment tool, provisioning-in-the-likes-of creating buckets in S3, including instances in EC2 networks, and network automation also. Why Use Ansible Instead of Shell Scripts or Python? Shell scripts are hard to code because for the OS, it must have a different shell- either Linux or Windows. Means for same tasks but different OS you need to run different scripts and then manually run that. Python: Although it is platform independent, handling thousands of virtual machines turns out quite tough by using Python. You cannot log in to many of them in a large operation. This very much makes Ansible easy: just give them the information of your server in an inventory file and then, within seconds, you're good to go. Main Features of Ansible No coding is required; just YAML files for configuration. These are usually easier to read than complex scripts, but writing them correctly requires attention to indentation. Although it is an agentless system, Ansible requires that the control machine or manager node install Python in order to translate YAML files into executable Python code. How Ansible Works The YAML file is input to Ansible and the generated Python code is run on the manager node. That is the reason why installing Python on the manager node is important. Problem solving - Delete Characters to Make Fancy String Good question Try to solve this without any data structure (Dynamic DS). Krishna tells Arjuna that the soul never dies and cannot be harmed by anything, while the body is temporary and will eventually perish. This understanding helps us let go of attachments and focus on our duties without getting too upset about results. Realizing the soul's eternity makes it easier to handle life's challenges calmly. #automation #bhagwadgita #Ansible #DSA #Pepsicoproud
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📊 Last week, I shared a poll about using aliases, and 8% of you said you weren't aware of them. So, I'm resharing my previous post where I explained what aliases are and how I use them to save time with Kubernetes commands. You can use them in other scenarios too. Ever used aliases in Kubernetes? They're like magic shortcuts that save you a lot of time! 😎 Here's how it works: aliases let you create custom shorthand for long kubectl commands. Think of them as your secret coding language! 🤫 To set them up in Linux, open your .bashrc or .bash_profile file and add your aliases at the bottom. Then, save, exit, and restart your terminal. Voila! You're all set with your new shortcuts! 🎉 Check out my aliases below and share yours in the comments! 👇 alias k='kubectl' alias kg='kubectl get' alias kgp='kubectl get pods' alias kgpa='kubectl get pods -A' alias kdp='kubectl delete pods' 👍🔄👤 If you find this post helpful and informative, please hit the like and share buttons to spread the knowledge! #Kubernetes #DevOps #Tips #DevOpsEngineer #DevOpsTools #Alias #HelpingHands #KubernetesCluster #DevOpsTips
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🚀 Day 8 of #90DaysOfDevOps: Shell Scripting Challenge 🐧💻 Today’s focus was on mastering bash scripting: 📝 Comments: Added explanatory notes in my scripts. 🗣️ Echo: Used echo to display messages on the terminal. 📊 Variables: Declared and assigned values to variables. ➕ Using Variables: Created a script to sum two numbers. 🛠️ Built-in Variables: Utilized built-in variables to display system info. 🌟 Wildcards: Listed files with specific extensions using wildcards. These tasks enhanced my understanding of shell scripting, making me more proficient in automating tasks. Excited for more! 🚀✨ #DevOps #Linux #ShellScripting #LearningInPublic #Automation
Day 8 Task: Shell Scripting Challenge
gunjanbhadade-devopsjourney.hashnode.dev
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Hey Everyone! You missed me right. Sharing late, It was Day 5 in Bytewise Limited Fellowship's DevOps Track mentored by Samsor Rahman. I was tasked with some processes to automate using the shell script. Some of then were quite challenging, took around me day to figure out how they can be done. Check the following blog that I wrote. https://lnkd.in/d8Bu4jt2 #100daysofByte #devops #linux #shellscripting #automation
Advanced Shell Scripting and Automation, a beginner guide
medium.com
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🚀 An Exciting Voyage Ahead! 🚀 It is with great pleasure that I announce that my journey to being a DevOps master has begun. 🌟 The first step, Linux 🐧 has just been completed and where the following were gained: -->Proficiency in Command Line Interface -->Navigating File System and its Management -->Management of Users and Permissions -->Shell Scripting -->Monitoring Systems as well as Performance Tuning After this, a complete roadmap has been laid out which I can’t wait to get started on: 1️⃣Linux✔️ 2️⃣GitHub 3️⃣Python 4️⃣Docker 5️⃣Jenkins (CI/CD) 6️⃣AWS (deployment) 7️⃣Kubernetes 8️⃣Ansible 9️⃣Terraform In the realm of DevOps, possibilities are endless; thus, amped up about delving into each of these technologies on a deeper level. Keep an eye out for more updates as I make progress in this path. Let’s link up and exchange notes along the way! 🌐💡 #DevOps #LearningJourney #Linux #GitHub #Python #Docker #Jenkins #AWS #Kubernetes #Ansible #Terraform #ContinuousLearning
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