𝟮𝟬 𝗗𝗼𝗰𝗸𝗲𝗿 𝗰𝗼𝗺𝗺𝗮𝗻𝗱𝘀 𝗲𝘃𝗲𝗿𝘆 𝗗𝗲𝘃𝗢𝗽𝘀 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝘀𝗵𝗼𝘂𝗹𝗱 𝗸𝗻𝗼𝘄 (𝟮𝟬𝟮𝟲) In production environments, efficiency matters more than memorizing everything. Most DevOps engineers rely on a small set of Docker commands daily: - container lifecycle - image management - debugging and logs Mastering these improves troubleshooting speed and deployment confidence. This cheat sheet focuses on practical usage, not theory. What’s one Docker command you think every engineer should know early? #docker #devops #linux #sysadmin #cheatsheet #containers #kubernetes #linuxcommands #LinuxTeck
Docker Commands for DevOps Engineers
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🔍 Mastering the sed Command in Linux 🐧 The sed (Stream Editor) command is one of the most powerful tools in Linux for text processing and automation. Whether you're a DevOps engineer, developer, or system administrator, sed can significantly simplify your daily tasks. 🚀 Here are some practical use cases: ✅ Updating environment variables for different environments (dev → prod) ✅ Modifying Docker image versions in deployment files ✅ Editing Kubernetes YAML configurations dynamically ✅ Replacing IP addresses or domain names in config files ✅ Cleaning and filtering log files efficiently ✅ Performing bulk updates across multiple files ✅ Commenting and uncommenting configuration lines ✅ Inserting new configuration values automatically ✅ Dynamically updating secrets in CI/CD pipelines ✅ Replacing URLs in application code #Linux #DevOps #CloudComputing #Automation #Scripting #Docker #Kubernetes #CI_CD #AWS #TechSkills
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Starting your DevOps journey? Build this as your Project #1 🛠️ Most beginners waste weeks not knowing where to start. Here's a simple project that will teach you more Linux than 10 tutorials combined 👇 Linux System Health Monitor — a bash script that tracks: ✅ CPU usage + top processes ✅ Memory utilization (used/total/%) ✅ Disk usage ✅ Auto-alert when CPU crosses 80% ✅ Timestamped logs saved automatically Why this project specifically? → You learn 'top', 'free', 'df', 'ps' — commands every DevOps engineer uses daily → You learn 'awk' for parsing command output → You understand how monitoring actually works before jumping to Prometheus/Grafana → It's deployable on any Linux server immediately I've open-sourced the full code on GitHub — free for anyone to use, learn from, and build on top of. Link in comments 👇 Save this post if you're on a DevOps learning path 🔖 #DevOps #Linux #BashScripting #DevOpsBeginners #LearningInPublic #Automation #ShellScripting #GitHub #CloudComputing
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Day 3 of My DevOps Journey Today was all about getting hands-on with Linux fundamentals — an essential building block for any DevOps engineer. I explored key commands and concepts such as: 🔹 User & Group Management: "adduser", "addgroup" 🔹 File Ownership: "chown" 🔹 File Permissions: "chmod" 🔹 File Management & understanding permission structures It’s fascinating to see how much control Linux gives over users, access, and security. These concepts might seem basic, but they form the backbone of managing real-world systems effectively. Every day is a step closer to becoming proficient in DevOps Looking forward to diving deeper tomorrow! #DevOps #Linux #LearningInPublic #CloudComputing #SystemAdministration #TrainwithShubhum
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Understanding logs is the first step to mastering DevOps. Today I explored the difference between journalctl and tail -f — two powerful tools for monitoring Linux logs. 🔍 journalctl → Best for systemd services & structured logs 📄 tail -f → Best for real-time monitoring of application logs Knowing when to use which is what separates beginners from real engineers. #Linux #DevOps #SysAdmin #LearningJourney #SRE #CloudComputing
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🚀 Quick Bash refresher: revisited error handling and exit codes simple, but essential in real DevOps workflows. Every command returns an exit status (0 = success, non-zero = failure). Using this with conditional logic helps scripts make smarter decisions like checking if a file exists or whether tools like Git are installed. It’s a small detail, but it’s what turns basic scripts into reliable, production ready automation. #DevOps #Bash #Linux #Automation
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Episode 7 of the DevOps Tools Engineer 2.0 Introduction series dives into exam objective #ContainerOrchestration. Learn how #DockerCompose & #PodmanCompose define and run multi-container applications for modern #DevOps workflows: https://lpi.org/4nh7 Linux Professional Institute (LPI) #DevOps #containerorchestration #dockercompose #podmancompose #microservices #services #networks
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Episode 7 of the DevOps Tools Engineer 2.0 Introduction series dives into exam objective #ContainerOrchestration. Learn how #DockerCompose & #PodmanCompose define and run multi-container applications for modern #DevOps workflows: https://lpi.org/4nh7 Linux Professional Institute (LPI) #DevOps #containerorchestration #dockercompose #podmancompose #microservices #services #networks
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Day 28 of learning and practicing DevOps 🔁 Revision day — no new concepts, just strengthening everything learned so far till day 27 Worked on: • Revising Linux fundamentals (processes, permissions, systemd, networking) • Practicing shell scripting concepts and real-world scripts • Reviewing Git workflows (merge, rebase, stash, cherry-pick) • Understanding Git branching strategies (GitFlow, GitHub Flow, Trunk-Based) • Rechecking GitHub CLI and overall workflow I also identified a few gaps: • LVM needs more hands-on • Branching strategies needed deeper clarity Here are my notes: https://lnkd.in/gJt7eVeJ 📍 #DevOps #Linux #Git #ShellScripting #Revision #LearningInPublic #90DaysOfDevOps #TrainWithShubham
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Ansible is not just automation. It's documentation. A well-written playbook tells you: → What the server should look like → What steps were taken to get there → What can go wrong and how to handle it Compare that to a runbook written in Confluence that's 18 months out of date. Executable documentation > Static documentation. If your playbooks are readable by a junior engineer on their first day, you've done it right. #Ansible #DevOps #Automation #Infrastructure #Linux
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This week in my DevOps journey, I focused on Linux fundamentals. I covered the basics of how the Linux system is structured, including the root directory and how files and folders are organised. I also got hands-on with essential commands for navigating the system, creating and managing files, and searching through data using tools like grep and find. One key takeaway for me was understanding the importance of log files. Instead of guessing when something goes wrong, logs help you see exactly what happened and where things failed. I also started learning how DevOps engineers approach debugging, checking services, reading logs, identifying the root cause, and verifying fixes. Still early in the journey, but starting to see how these fundamentals connect to real-world systems. #DevOps #Linux #LearningInPublic #TechJourney
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