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🌟 25 Essential DevOps Real-Time Interview Questions 🌟

Are you gearing up for a DevOps interview? Here are 25 critical questions that will help you shine!
💼💻

1.What is CI/CD and why is it important?

2. Explain the difference between Docker and Kubernetes.
3. How do you ensure high availability in a cloud environment?
4. What are the different stages in a DevOps pipeline?
5. How do you monitor and troubleshoot application performance?
6. Describe a situation where you had to resolve a production issue.
7. What are some best practices for infrastructure as code (IaC)?
8. How do you handle security in a DevOps workflow?
9. What tools do you use for configuration management and why?
10. Explain the concept of blue-green deployment.
11. How does container orchestration work?
12. What is the role of a reverse proxy in a DevOps environment?
13. How do you implement logging and monitoring for microservices?
14. What is a service mesh and why is it useful?
15. Can you explain the concept of immutable infrastructure?
16. How do you manage secrets and sensitive data in your deployments?
17. What are the key metrics you monitor in a DevOps environment?
18. How do you handle load balancing and scaling in Kubernetes?
19. What is a canary deployment and how is it different from blue-green deployment?
20. How do you ensure disaster recovery and backup in cloud infrastructure?
21. What are the common challenges in a DevOps transformation?
22. Explain the use of Ansible/Puppet/Chef in DevOps.
23. How do you integrate security practices into your CI/CD pipeline?
24. What is the significance of automated testing in DevOps?
25. How do you manage and optimize costs in a cloud environment?

💡 Tip: Be ready to discuss real-world scenarios and your hands-on experience with various DevOps tools and practices.

Good luck! 🍀


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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➡️ How do companies ship code to production?


The diagram above illustrates the typical workflow.


➡️Step 1: The process starts with a product owner creating user stories based on requirements.

➡️Step 2: The dev team picks up the user stories from the backlog and puts them into a sprint for a two-week dev cycle.

➡️Step 3: The developers commit source code into the code repository Git.

➡️Step 4: A build is triggered in Jenkins. The source code must pass unit tests, code coverage threshold, and gates in SonarQube.

➡️Step 5: Once the build is successful, the build is stored in artifactory. Then the build is deployed into the dev environment.

➡️Step 6: There might be multiple dev teams working on different features. The features need to be tested independently, so they are deployed to QA1 and QA2.

➡️Step 7: The QA team picks up the new QA environments and performs QA testing, regression testing, and performance testing.

➡️Steps 8: Once the QA builds pass the QA team’s verification, they are deployed to the UAT environment.

➡️Step 9: If the UAT testing is successful, the builds become release candidates and will be deployed to the production environment on schedule.

➡️Step 10: SRE (Site Reliability Engineering) team is responsible for prod monitoring.


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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𝑰𝒇 𝒚𝒐𝒖'𝒓𝒆 𝒖𝒏𝒔𝒖𝒓𝒆 𝒂𝒃𝒐𝒖𝒕 𝒕𝒉𝒆 𝒔𝒑𝒆𝒄𝒊𝒇𝒊𝒄 𝒓𝒆𝒔𝒑𝒐𝒏𝒔𝒊𝒃𝒊𝒍𝒊𝒕𝒊𝒆𝒔 𝒐𝒇 𝒕𝒉𝒆𝒔𝒆 𝒓𝒐𝒍𝒆𝒔, 𝒅𝒆𝒕𝒂𝒊𝒍𝒆𝒅 𝒆𝒙𝒑𝒍𝒂𝒏𝒂𝒕𝒊𝒐𝒏𝒔 𝒂𝒓𝒆 𝒑𝒓𝒐𝒗𝒊𝒅𝒆𝒅 𝒃𝒆𝒍𝒐𝒘

1. 𝐃𝐞𝐯𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Bridges the gap between development and operations teams.
Automates build, test, and deployment processes.
Implements continuous integration and continuous delivery (CI/CD) pipelines.
Manages infrastructure as code (IaC) using tools like Terraform or Ansible.
Ensures system availability, performance, and scalability.

2. 𝐒𝐑𝐄 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (𝐒𝐢𝐭𝐞 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫)
Focuses on reliability and performance of systems.
Builds and maintains scalable and efficient infrastructure.
Automates routine tasks and creates self-service tools.
Defines and tracks service level objectives (SLOs) and error budgets.
Handles incidents and performs root cause analysis.

3. 𝐂𝐥𝐨𝐮𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Manages and maintains cloud infrastructure (AWS, Azure, GCP).
Optimizes cloud costs and resource utilization.
Ensures cloud security and compliance.
Migrates workloads to the cloud.
Automates cloud provisioning and management.

4. 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Builds and maintains the platform used by development teams.
Provides self-service tools and APIs for developers.
Ensures platform stability, performance, and scalability.
Collaborates with developers and infrastructure teams.
Automates platform provisioning and management.

5. 𝐃𝐞𝐯𝐒𝐞𝐜𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Integrates security into the DevOps pipeline.
Conducts security assessments and vulnerability scanning.
Implements security controls and best practices.
Develops secure coding standards and guidelines.


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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⭐️ Unleash the Full Potential of CI/CD with Kubernetes and GitOps! 🚀


🔍 Are you ready to take your CI/CD pipelines to the next level? Whether you're a seasoned DevOps professional or just starting your journey, my latest article is a must-read!

In this in-depth guide, I break down the Advanced CI/CD Pipelines using Kubernetes and GitOps. This article covers:

1. Why GitOps? - Discover why GitOps is a game-changer for modern CI/CD workflows and how it brings a new level of efficiency and security to your Kubernetes deployments.

2. Step-by-Step Implementation - Learn how to set up a robust CI/CD pipeline with Kubernetes, utilizing best practices for integrating GitOps. From setting up your repo to automating deployments, I’ve got you covered!

3. Real-World Use Cases - See how leading companies are using these techniques to achieve seamless, scalable, and reliable deployments.

4. Tools & Technologies - Get to know the essential tools that make it all possible, including ArgoCD, Flux, and more, and how they fit into the Kubernetes ecosystem.

5. Pro Tips & Best Practices - Avoid common pitfalls and make the most out of your pipeline with insider tips that can save you time and headaches.

This article isn’t just another walkthrough – it’s a comprehensive guide designed to help you master the intricacies of CI/CD with Kubernetes and GitOps.

🖥 Read it here: Advanced CI/CD Pipelines with Kubernetes and GitOps

🎯 Whether you're aiming to improve your current setup or looking to adopt new practices, this guide provides everything you need to know. Elevate your DevOps game and stay ahead of the curve!


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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📣 If you're in IT, learning Python 🐍 can open endless possibilities!

It's a versatile skill that can take you far, and it's known for being one of the easiest programming languages to learn and understand.

Here's a roadmap to help you master Python:

🔢. 𝗟𝗲𝗮𝗿𝗻 𝘁𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀: This includes data types, control flow, functions, and object-oriented programming.

🔢. 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀: Python boasts a vast ecosystem of libraries for everything from web development to data science to machine learning. Once you're comfortable with the fundamentals, delve into popular libraries like NumPy, pandas, Matplotlib, and scikit-learn.

🔢. 𝗕𝘂𝗶𝗹𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: The best way to solidify your Python knowledge is by doing. Start building projects that pique your interest, like a web application, a data analysis dashboard, or a machine learning model.

🔢. 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Once you have some projects under your belt, learn how to deploy them for others to use. Python applications can be deployed in various ways, using web servers or container orchestration platforms.

🔢. 𝗧𝗲𝘀𝘁 𝗬𝗼𝘂𝗿 𝗖𝗼𝗱𝗲: Regularly testing your code ensures it functions as expected. Python offers various testing frameworks, including unittest and pytest.

🔢. 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼: Showcase your Python development skills by building a portfolio of your work. This will be a valuable asset when demonstrating your capabilities to potential employers.

🔢. 𝗨𝗽𝗱𝗮𝘁𝗲 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲: Highlight your experience with Python libraries, projects, and deployments by revamping your resume.


😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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🐳 𝗗𝗼𝗰𝗸𝗲𝗿 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀! 🐳

Docker has revolutionized the world of containerization, enabling scalable and efficient application deployment.

To make the most of this powerful tool, here are 10 essential Docker best practices:

✔️ 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝗮 𝗟𝗶𝗴𝗵𝘁𝘄𝗲𝗶𝗴𝗵𝘁 𝗕𝗮𝘀𝗲 𝗜𝗺𝗮𝗴𝗲: Use minimalist base images to reduce container size and vulnerabilities.

✔️ 𝗦𝗶𝗻𝗴𝗹𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗽𝗲𝗿 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿: Keep it simple - one process per container for better isolation and maintainability.

✔️ 𝗨𝘀𝗲 𝗗𝗼𝗰𝗸𝗲𝗿 𝗖𝗼𝗺𝗽𝗼𝘀𝗲: Define multi-container applications in a YAML file for easy management.

✔️ 𝗩𝗼𝗹𝘂𝗺𝗲 𝗠𝗼𝘂𝗻𝘁𝗶𝗻𝗴: Store data outside the container to preserve it, even if the container is removed.

✔️ 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Consider Kubernetes or Docker Swarm for managing containers at scale.

✔️ 𝗩𝗲𝗿𝘀𝗶𝗼𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗧𝗮𝗴𝗴𝗶𝗻𝗴: Always tag images with version numbers to ensure reproducibility.

✔️ 𝗛𝗲𝗮𝗹𝘁𝗵 𝗖𝗵𝗲𝗰𝗸𝘀: Implement health checks to monitor container status and reliability.

✔️ 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗶𝗺𝗶𝘁𝘀: Set resource constraints to prevent one container from hogging resources.

✔️ 𝗗𝗼𝗰𝗸𝗲𝗿𝗳𝗶𝗹𝗲 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀: Optimize Dockerfiles by minimizing layers and using caching effectively.

✔️ 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Regularly update images, scan for vulnerabilities, and follow security best practices.


🌐𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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🚀 DevOps Project - 27 🚀


🔗 Project Link: HERE

🔐 Project Name: DevSecOps: Deploy Reddit App to Amazon Elastic Kubernetes Service (EKS) using ArgoCD and Monitor Its Performance

🌟 Description: Dive into the world of DevSecOps with this hands-on project where we deploy a Reddit application to Amazon EKS using ArgoCD, a powerful GitOps continuous delivery tool. We also cover comprehensive monitoring strategies using Prometheus and Grafana to ensure optimal performance and reliability.

📌 Key Highlights:
- 🛠 Setting up infrastructure on AWS EKS
- 🔄 Seamless deployment with ArgoCD
- 📊 Robust monitoring using Prometheus & Grafana
- 📈 Analyzing and interpreting application metrics
- 🔍 Enhancing security and operational excellence

Why This Project?
Master the integration of development, security, and operations by automating deployments, implementing security scans, and monitoring your applications in real-time. A perfect project to level up your DevSecOps skills!

❤️‍🔥 Share with friends and learning aspirants ❤️‍🔥

📣 Note: Fork this Repository 🧑‍💻 for upcoming future projects, Every week releases new Project.



📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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⚡️ Before spending hours on YouTube Videos/Courses, just know what you are signing up for.

➡️ 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Spend 25% of the time dealing with Infrastructure from provisioning to preventing configuration drift and being cloud agnostic.

➡️ 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Shift left the security. From removing unwanted binaries to enforcing runtime security.

➡️ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Write 100s of shell scripts or Ansible Playbooks or build a pipeline to automate the workflow.

➡️ 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Make sure Logging + Profiling + Tracing + Monitoring are in sync.

➡️ 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Write tons of docs for releases, post-mortems and internal operations.

➡️ 𝗧𝗿𝗼𝘂𝗯𝗹𝗲𝘀𝗵𝗼𝗼𝘁𝗶𝗻𝗴: Do the RCA and spend days cluelessly staring at the screen.


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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🟢 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
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☄️ Top 79 Linux commands that are commonly used in DevOps:

1. ls: List directory contents
2. cd: Change directory
3. pwd: Print working directory
4. mkdir: Create a directory
5. touch: Create a file
6. cp: Copy files and directories
7. mv: Move or rename files and directories
8. rm: Remove files and directories
9. find: Search for files and directories
10. grep: Search for patterns in files
11. cat: Concatenate and display files
12. less: View file contents page by page
13.head: Display the first lines of a file
14. tail: Display the last lines of a file
15. vi/vim: Text editor
16. nano: Text editor
17. tar: Archive and compress files
18. gzip: Compress files
19. gunzip: Decompress files
20. wget: Download files from the web
21. curl: Transfer data to or from a server
22. ssh: Secure shell remote login
23. scp: Securely copy files between hosts
24. chmod: Change file permissions
25. chown: Change file ownership
26. chgrp: Change group ownership
27. ps: Display running processes
28. top: Monitor system resources and processes
29. kill: Terminate processes
30. df: Display disk space usage
31. du: Estimate file and directory space usage
32. free: Display memory usage
33. uname: Print system information
34. ifconfig: Configure network interfaces
35. ping: Test network connectivity
36. netstat: Network statistics
37. iptables: Firewall administration
38. systemctl: Manage system services
39. journalctl: Query the system journal
40. crontab: Schedule cron jobs
41. useradd: Create a user account
42. passwd: Change user password
43. su: Switch user
44. sudo: Execute a command as another user
45. usermod: Modify user account
46. groupadd: Create a group
47. groupmod: Modify a group
48. id: Print user and group information
49. ssh-keygen: Generate SSH key pairs
50. rsync: Synchronize files and directories
51. diff: Compare files line by line
52. patch: Apply a patch to files
53. tar: Extract files from an archive
54. curl: Perform HTTP requests
55. nc: Netcat - networking utility
56. wget: Download files from the web
57. whois: Lookup domain registration details
58. dig: DNS lookup utility
59. sed: Stream editor for text manipulation
60. awk: Pattern scanning and processing language
61. sort: Sort lines in a text file
62. cut: Extract sections from lines of files
63. wc: Word, line, character, and byte count
64. tee: Redirect output to multiple files or commands
65. history: Command history
66. source: Execute commands from a file in the current shell
67. alias: Create command aliases
68. ln: Create links between files
69. uname: Print system information
70. lsof: List open files and processes
71. mkfs: Create a file system
72. mount: Mount a file system
73. umount: Unmount a file system
74. ssh-agent: Manage SSH keys in memory
75. grep: Search for patterns in files
76. tr: Translate characters
77. cut: Select portions of lines from files
78. paste: Merge lines of files
79. uniq: Report or omit repeated lines


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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🟩 Top Free DevOps Tutorials/Courses on Udemy 🟩


💎 Introduction to DevOps, Habits and Practices: https://lnkd.in/dsvQQcYj

💎 MySQL on Docker: https://lnkd.in/d5j3sZw6

💎 Advanced Jenkins in K8s (Docker in Docker): https://lnkd.in/dT3kA2-M

💎 CI/CD Pipeline Course: https://lnkd.in/ddfPtsuH

💎 Learning DevOps: https://lnkd.in/dUJikmZp

💎 DevOps on AWS: Code, Build, and Test (Course 1 of 3): https://lnkd.in/dV6NbWRJ

💎 Introduction to Full stack and DevOps Engineering: https://lnkd.in/dC_pR3QG

💎 Learn VCS: Git, GitHub and AWS Commit – DevOps CICD: https://lnkd.in/d_qTruFa

💎 Docker Tutorial for Beginners practical hands on - DevOps: https://lnkd.in/dbSJ-zfX

💎 Infrastructure Automation With Terraform a DevOps Tool: https://lnkd.in/dXKuUxum

💎 Ansible for the Absolute Beginner – DevOps: https://lnkd.in/dn_w3bsK

💎 DevOps on AWS: Operate and Monitor (Course 3 of 3): https://lnkd.in/d_P9wUgg

💎 JENKINS Beginner Tutorial – Step by Step: https://lnkd.in/dipuDNc4

💎 Google Cloud Platform Masterclass : 4 GCP Certification in 1: https://lnkd.in/dJK5c5ni

💎 Power Platform ALM DevOps Master Class: https://lnkd.in/dx62Nicu

💎 Learn Docker Quickly: A Hands-on approach to learning rocker: https://lnkd.in/dBzEDCq7

💎 Power Platform ALM DevOps Master Class: https://lnkd.in/dx62Nicu


❤️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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🐬 Docker is a software platform that allows you to build, test, and deploy applications quickly.

𝗕𝗲𝘀𝘁 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗗𝗼𝗰𝗸𝗲𝗿
✔️ Always use a specific version for the base image for Dockerfile.
✔️Optimize your docker image by using a smaller base image.
✔️Specify the correct working directory in Dockerfile.
✔️Always use the .dockerignore fi…
✔️Copying package.json Separate from Source Code.
✔️Use non root user.
✔️Multistage build for production.
✔️Exposing port in Dockerfile.


✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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👉 🆘 A comprehensive collection of essential DevOps tools for development, deployment, monitoring, and more. 🆘

🔗 Link: https://github.com/NotHarshhaa/devops-tools 🔗

We Explained Each and Every Tools with Detailed Manner with their official site links 🔫

=> Table of Contents
1. Development Environment Tools
2. Source Code Management
3. Build Tools
4. Continuous Integration Tools
5. Artifact Management Tools
6. Code Analysis Tools
7. Continuous Delivery & GitOps Tools
8. Infrastructure Provisioning Tools
9. Cloud Cost Management Tools
10. Configuration Management Tools
11. Secret Management Tools
12. Config/Service Discovery Tools
13. Containerization Tools
14. Container Orchestration Tools
15. Container Security Tools
16. Policy Management Tools
17. Service Mesh Tools
18. Logging Tools
19. Monitoring & Observability Tools
20. Visualization Tools
21. Internal Developer Platform Tools
22. API Tools
23. Collaboration Tools
24. Backups and Restoration Tools
25. Cloud Providers



✉️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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👾 DevOps Real-time scenarios 👾

🔴 Scenario 1: Service Outage

Issue: A critical service experiences an outage, impacting users and business operations.

😀 Resolution:

✔️ Incident Response: Quickly activate the incident response plan to diagnose and address the root cause of the outage.

✔️ Rollback Plan: If possible, execute a rollback plan to restore the service to a stable state.

✔️ Failover and Redundancy: Implement failover mechanisms and redundancy to minimize the impact of single points of failure.

✔️ Monitoring and Alerting: Enhance monitoring and alerting systems to proactively detect and respond to potential outages.

---------------------------------------------

🔴 Scenario 2: Cross-Functional Collaboration

Issue: Communication breakdowns between development and operations teams lead to misunderstandings and delays.

😀 Resolution:

✔️ Cross-Functional Teams: Foster a culture of collaboration by having mixed teams with members from development, operations, and other relevant departments.

✔️ Shared Tools: Use tools that are accessible and understandable by both developers and operations teams.

✔️ Continuous Communication: Encourage regular meetings, stand-ups, and knowledge-sharing sessions to align goals and expectations.

✔️ Blameless Post-Mortems: Conduct blameless post-mortems to analyze failures, identify improvements, and avoid assigning blame.


❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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🐬 Docker Networking:

When Containers Talk: Decoding the Secret Language of Docker Networking.

🔢: Bridge (Default):
➡️ The default, isolated network where containers get unique IP addresses and can communicate with other containers on the same host.

➡️Use Cases:
➡️ Ideal for most containerized applications that need network isolation and communication within the host.
➡️ Well-suited for development, testing, and staging environments.

🔢: None:
➡️ Disables networking entirely, isolating the container from any network.

➡️Use Cases:
➡️ Niche use cases where no network access is required (e.g., headless tasks, security-sensitive processes).
➡️ Not recommended for general-purpose container usage.

🔢: Host:
➡️ Shares the host's network namespace, allowing containers to directly use the host's IP address and ports.

➡️Use Cases:
➡️ Exposing container services to the host's network without complex port mappings.
➡️ Useful for testing and development, but exercise caution due to potential security risks in production.

🔢: Overlay:
➡️ Description: Creates a virtual network across multiple Docker hosts, enabling container communication regardless of their physical location.

➡️Use Cases:
➡️ Orchestrated deployments with Docker Swarm or Kubernetes where containers need to communicate across hosts.
➡️ Highly scalable network for distributed applications.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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Confused about DevOps?

Start here: Your simple guide to success 👇

💘 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
- Git: Version control essentials
- Linux: Command-line proficiency
- Networking: Basic protocols and architecture
- Databases: SQL fundamentals

💘 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴
- Python: The Swiss Army knife for DevOps

💘 𝗖𝗹𝗼𝘂𝗱, 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲 (𝗜𝗮𝗖) & 𝗦𝗼𝘂𝗿𝗰𝗲 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 (𝗦𝗖𝗠)
- Cloud Platforms: AWS, Azure, or Google Cloud
- Terraform: Infrastructure as code mastery
- Git-based platforms: GitHub, GitLab, or Bitbucket

💘 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻
- Docker: Application containerization
- Kubernetes: Container orchestration
- Helm: Kubernetes package management

💘 𝗖𝗜/𝗖𝗗
- Choose your fighter: Jenkins, GitHub Actions, GitLab CI/CD, or CircleCI

💘 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗟𝗼𝗴𝗴𝗶𝗻𝗴
- Prometheus & Grafana: Metrics and visualization
- ELK Stack: Log management and analysis


💘 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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📢 Production Level CI/CD Pipeline Project 🚀


🖥 Check it out here: Production Level CI/CD Pipeline Project 📖

In this article, I dive deep into the end-to-end CI/CD pipeline setup, covering every tool and step involved, including:

🔹 GitHub: Code management and version control
🔹 Jenkins: CI/CD orchestration
🔹 Terraform: Infrastructure as code
🔹 Maven: Build and artifact management
🔹 Trivy: Docker image scanning
🔹 SonarQube: Code quality checks
🔹 Docker: Containerization
🔹 Amazon EKS: Kubernetes orchestration
🔹 Grafana & Prometheus: Monitoring and visualization
🔹 GoDaddy: Domain mapping

Whether you're looking to enhance your CI/CD skills or need a comprehensive guide to setting up a production-level pipeline, this article has got you covered! 💡



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

Check out these free DevOps labs from KodeKloud and level up your skills today! ⚙️

Don't miss out on this opportunity to enhance your knowledge.


Visit KodeKloud Free Labs now! - https://kodekloud.com/free-labs


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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You're Decent at Linux if You Know What Those Directories Mean?? 🐧

The Linux file system used to resemble an unorganized town where individuals constructed their houses wherever they pleased. However, in 1994, the Filesystem Hierarchy Standard (FHS) was introduced to bring order to the Linux file system.

By implementing a standard like the FHS, software can ensure a consistent layout across various Linux distributions. Nonetheless, not all Linux distributions strictly adhere to this standard. They often incorporate their own unique elements or cater to specific requirements.


ℹ️To become proficient in this standard, you can begin by exploring. Utilize commands such as "cd" for navigation and "ls" for listing directory contents. Imagine the file system as a tree, starting from the root (/). With time, it will become second nature to you, transforming you into a skilled Linux administrator.


🌐𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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SCENARIO BASED INTERVIEW QUESTIONS FOR LINUX 🐧


🔢. File System Management
- Scenario: A critical production server is running out of disk space. How would you identify which directories or files are consuming the most space, and what steps would you take to free up space?
- Possible Follow-up: How would you set up monitoring to avoid this situation in the future?

🔢. Process Management
- Scenario: A service running on a Linux server is not responding, but you see the process is running. How would you troubleshoot and resolve this issue?
- Possible Follow-up: What tools would you use to diagnose high CPU or memory usage by a process?

🔢. Network Configuration
- Scenario: You need to configure a Linux server to use a static IP address. How would you do it? What files would you modify?
- Possible Follow-up: How would you troubleshoot if the server is not reachable after the change?

🔢. User and Permissions Management
- Scenario: A user is unable to access a file they should have access to. How would you diagnose and fix the issue? What command would you use to check file permissions?
- Possible Follow-up: How would you grant a user sudo privileges on a system?

🔢. Service Management
- Scenario: A critical service needs to be started automatically on system boot. How would you ensure this service is started, and how would you verify it?
- Possible Follow-up: How would you temporarily disable a service for troubleshooting?

🔢. Log Management
- Scenario: A server is experiencing intermittent issues, and you need to monitor logs in real-time. What command would you use, and how would you filter logs for relevant information?
- Possible Follow-up: How would you configure log rotation to manage log file sizes?

🔢. Package Management
- Scenario: You need to install a specific version of a software package on a Linux server, but the version is not available in the default repositories. How would you proceed?
- Possible Follow-up: How would you remove a package along with its configuration files?

🔢. Security and SSH Management
- Scenario: You need to set up SSH key-based authentication for a user on a remote server. How would you do it?
- Possible Follow-up: How would you secure an SSH server to prevent unauthorized access?

🔢. Cron Jobs and Automation
- Scenario: You need to schedule a backup script to run daily at midnight. How would you set up the cron job, and how would you verify it’s working correctly?
- Possible Follow-up: How would you troubleshoot if a cron job is not running as expected?


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