DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Open in Telegram
https://projects.prodevopsguytech.com // https://blog.prodevopsguytech.com • We post Daily Trending DevOps/Cloud content • All DevOps related Code & Scripts uploaded • DevOps/Cloud Job Related Posts • Real-time Interview questions & preparation guides
Show more📈 Analytical overview of Telegram channel DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Channel DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning (@prodevopsguy) in the English language segment is an active participant. Currently, the community unites 16 318 subscribers, ranking 7 977 in the Technologies & Applications category and 25 792 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 16 318 subscribers.
According to the latest data from 07 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 166 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- Thematic interests: Content is focused on key topics such as devops, docker, terraform, kubernete, git.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“https://projects.prodevopsguytech.com // https://blog.prodevopsguytech.com
• We post Daily Trending DevOps/Cloud content
• All DevOps related Code & Scripts uploaded
• DevOps/Cloud Job Related Posts
• Real-time Interview questions & preparation guid...”
Thanks to the high frequency of updates (latest data received on 08 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
16 318
Subscribers
No data24 hours
+367 days
+16630 days
Posts Archive
☄️ Real-world Prometheus Deployment: A Practical Guide for Kubernetes Monitoring ☄️
🔗 Source Link: https://github.com/NotHarshhaa/Learning-Prometheus
🔗 Blog Link: https://blog.prodevopsguy.xyz/real-world-prometheus-deployment-a-practical-guide-for-kubernetes-monitoring
✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
🚀 DevOps-Cheatsheet Update! 🚀
♻️ We've just expanded the Infrastructure Management section of the DevOps-Cheatsheet repository with detailed guides for Ansible, Chef, Puppet, and Terraform! 🛠
✨ What's new:
➡️ Ansible.md: Covers installation, ad-hoc commands, playbooks, and best practices.
➡️ Chef.md: Key concepts, commands, recipes, and advanced features explained.
➡️ Puppet.md: Detailed commands, manifests, modules, and advanced usage.
➡️ Terraform.md: Includes commands, configuration management, and best practices.
📑 Also: The README.md has been updated to include links to these new cheatsheets and the Infrastructure Management section!
Check it out now and level up your DevOps skills! 🌟
#DevOps #CheatSheet #InfrastructureManagement #Ansible #Chef #Puppet #Terrafor
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
📁 Understanding the Ansible Directory Structure for DevOps Engineers 🔍
Many DevOps Engineers struggle to fully understand the structure of an Ansible directory and how everything ties together.
To make it easier, I've broken it down to help you better understand each component and its purpose.👇
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
You're using Linux 🐧wrong!
Most people dive into Linux without truly understanding its file system hierarchy, leading to confusion and inefficiency.
Ever wondered why system files are scattered across /bin, /sbin, and /usr/bin? Or why logs are in /var/log instead of /log?
Here’s a breakdown of the Linux File System Hierarchy to clear up the confusion:
╰ / - Root directory (everything starts here)
╰ /bin - Essential binaries (ls, cp, mv)
╰ /boot - Boot loader files (kernel, GRUB)
╰ /dev - Device files (USB, HDD, tty)
╰ /etc - Configuration files
╰ /home - User home directories
╰ /lib - Essential system libraries
╰ /media - Auto-mounted media (USB, CD)
╰ /mnt - Temporary mount point
╰ /opt - Third-party software packages
╰ /proc - Virtual filesystem for processes
╰ /root - Root user’s home directory
╰ /run - Runtime process data
╰ /sbin - System binaries (fsck, reboot)
╰ /srv - Server-specific data
╰ /sys - Kernel system information
╰ /tmp - Temporary files (cleared on reboot)
╰ /usr - User applications and tools
╰ /usr/bin - Non-essential user binaries
╰ /usr/lib - Libraries for /usr/bin
╰ /usr/local - Locally installed software
╰ /usr/share - Shared data (icons, docs)
╰ /var - Variable data (logs, cache, mail)
╰ /var/log - System logs
╰ /var/spool - Queued jobs (print, mail)
Understanding this structure helps you -
🔠 Locate files efficiently
🔠 Troubleshoot system issues faster
🔠 Optimize performance & security
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
📢 Introducing @DevOpsClassroom 🚀
Ready to dive into the world of DevOps but overwhelmed by where to start?
Whether you're a beginner or transitioning into a DevOps role, this is the channel you’ve been looking for.
🔍 Why join @DevOpsClassroom?
✅ Learn DevOps from scratch — step by step
✅ Focused on real-world tools like Git, Docker, Kubernetes, Jenkins, Terraform, and more
✅ Bite-sized lessons you can learn daily, without the fluff
✅ Curated resources, roadmaps, cheat sheets, and beginner projects
✅ Simple, practical explanations — not just news or tool dumps
✅ Regular updates with examples and guides you can actually use
🎯 What makes us different from other channels?
Most DevOps channels are either:
❌ Too advanced for beginners
❌ Full of random tool spam with no structure
❌ Not focused on learning, just sharing news or job posts
@DevOpsClassroom is built like a course — but FREE, community-driven, and always growing.
You're not just scrolling — you're actually learning.
💡 Join the channel now and start your DevOps journey with confidence:
📎 t.me/DevOpsClassroom
📤 Share this with your friends who are ready to grow their skills!
🚀 Introducing Real-Time DevOps & Cloud Projects Hub!
We curated a dedicated website showcasing real-time DevOps and Cloud projects — from beginner-friendly setups to advanced, production-grade pipelines. Whether you're just starting out or want to level up your DevOps skills, this site has hands-on projects that cover:
✅ CI/CD Pipelines (Jenkins, GitLab, Azure DevOps, ArgoCD)
✅ Infrastructure Automation with Terraform & Ansible
✅ Kubernetes Deployments (EKS, AKS, GKE, Minikube)
✅ Monitoring & Security (Prometheus, Grafana, Trivy, SonarQube, etc.)
✅ Real-time architecture deployments on AWS & Azure
✅ DevSecOps practices & GitOps workflows
🎯 Why visit?
Perfect for self-learning, building your portfolio, and prepping for DevOps interviews — every project is clearly explained with architecture diagrams, tools used, and objectives.
🌐 Visit now: https://projects.prodevopsguytech.com
🧠 Start learning by doing — hands-on is the best way to master DevOps!
Whether you're just starting out or looking to level up your DevOps journey, this is your one-stop hub for practical experience! 💪
🔁 Feel free to share it with your peers, communities, and fellow techies!
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
👉 Useful GIT 📱 command you will use frequently being a software developer.
𝟭.𝗴𝗶𝘁 𝗱𝗶𝗳𝗳: Show file differences not yet staged.
𝟮. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 -m "commit message": Commit all tracked changes with a message.
𝟯. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘁𝘂𝘀: Show the state of your working directory.
𝟰. 𝗴𝗶𝘁 𝗮𝗱𝗱 𝗳𝗶𝗹𝗲_𝗽𝗮𝘁𝗵: Add file(s) to the staging area.
𝟱. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 -𝗯 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Create and switch to a new branch.
𝟲. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Switch to an existing branch.
𝟳. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 --𝗮𝗺𝗲𝗻𝗱: Modify the last commit.
𝟴. 𝗴𝗶𝘁 𝗽𝘂𝘀𝗵 𝗼𝗿𝗶𝗴𝗶𝗻 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Push a branch to a remote.
𝟵. 𝗴𝗶𝘁 𝗽𝘂𝗹𝗹: Fetch and merge remote changes.
𝟭𝟬. 𝗴𝗶𝘁 𝗿𝗲𝗯𝗮𝘀𝗲 -𝗶: Rebase interactively, rewrite commit history.
𝟭𝟭. 𝗴𝗶𝘁 𝗰𝗹𝗼𝗻𝗲: Create a local copy of a remote repo.
𝟭𝟮. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲: Merge branches together.
𝟭𝟯. 𝗴𝗶𝘁 𝗹𝗼𝗴-𝘀𝘁𝗮𝘁: Show commit logs with stats.
𝟭𝟰. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵: Stash changes for later.
𝟭𝟱. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵 𝗽𝗼𝗽: Apply and remove stashed changes.
𝟭𝟲. 𝗴𝗶𝘁 𝘀𝗵𝗼𝘄 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Show details about a commit.
𝟭𝟳. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 𝗛𝗘𝗔𝗗~𝟭: Undo the last commit, preserving changes locally.
𝟭𝟴. 𝗴𝗶𝘁 𝗳𝗼𝗿𝗺𝗮𝘁-𝗽𝗮𝘁𝗰𝗵-𝟭 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Create a patch file for a specific commit.
𝟭𝟵. 𝗴𝗶𝘁 𝗮𝗽𝗽𝗹𝘆 𝗽𝗮𝘁𝗰𝗵_𝗳𝗶𝗹𝗲_𝗻𝗮𝗺𝗲: Apply changes from a patch file.
𝟮𝟬. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵 -𝗗 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Delete a branch forcefully.
𝟮𝟭. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁: Undo commits by moving branch reference.
𝟮𝟮. 𝗴𝗶𝘁 𝗿𝗲𝘃𝗲𝗿𝘁: Undo commits by creating a new commit.
𝟮𝟯. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗿𝗿𝘆-𝗽𝗶𝗰𝗸 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Apply changes from a specific commit.
𝟮𝟰. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵: Lists branches.
𝟮𝟱. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 --𝗵𝗮𝗿𝗱: Resets everything to a previous commit, erasing all uncommitted changes.
😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🔶 Docker 🐬 Scenario-Based Interview Questions ❓
1. You are running a containerized application that crashes intermittently without logging anything useful. How do you debug this behavior?
2. Your CI/CD pipeline pushes a new Docker image that fails only in production, not in staging. How would you isolate and resolve the discrepancy?
3. Your Docker image builds are inconsistent across developers’ machines. How would you ensure repeatable builds?
4. How would you securely inject secrets into a container without hardcoding them in Dockerfile or exposing them in environment variables?
5. A container using a volume is not syncing changes back to the host machine. How do you diagnose and resolve this?
6. You need to migrate your local Docker-based app to Kubernetes. What Docker-specific configurations might cause issues during the migration?
7. Your container uses a large base image and takes a long time to download in remote environments. What strategies can you apply to improve this?
8. You notice a container has exited with an OOMKilled (Out Of Memory) status. How do you investigate and prevent this?
9. How would you monitor file system usage and inode exhaustion in a running container?
10. Your team needs to run GPU-based containers on a shared host. How do you design a secure and performant setup?
11. You want to roll back to a previous container version but don't have the previous Dockerfile. How do you retrieve and use the old image?
12. You need to isolate a set of containers with custom firewall rules. How do you implement this using Docker’s networking capabilities?
13. A container exposes multiple ports, but some are not accessible externally. How do you verify and expose the correct ports?
14. How do you configure Docker for a multi-architecture build (e.g., building for x86 and ARM simultaneously)?
15. Your Dockerfile uses ADD to fetch remote URLs, but the builds fail due to SSL errors in CI. How do you debug and solve this?
16. You notice layers in your Docker image are not being cached during builds. What could be causing this?
17. You are required to enforce immutability for Docker containers in production. How would you approach this?
18. How would you implement a security scanning workflow integrated with your CI/CD process for Docker containers?
19. What would you do if Docker container logs are rotated too frequently and important logs are being lost?
20. You suspect your container image has been tampered with. How do you validate its authenticity?
21. How do you enforce policy controls such as image whitelisting in a Docker deployment?
22. A base image you use has been deprecated. How do you manage and migrate all dependent services with minimal downtime?
👍👍👍👍 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
▶️ What are Static Pods in K8S? How do they work?
🔖 Static pods are special Kubernetes pods managed directly by the Kubelet rather than the Kubernetes control plane. They are primarily used for managing critical components of the Kubernetes system, especially in self-hosted clusters or during cluster bootstrapping.
The working of static pods can be explained with the help of steps below:
1️⃣. Static Pods are defined in manifest files (𝐘𝐀𝐌𝐋 𝐨𝐫 𝐉𝐒𝐎𝐍).
2️⃣. These manifest files are placed in a specific directory on a node (e.g., /𝐞𝐭𝐜/𝐤𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬/𝐦𝐚𝐧𝐢𝐟𝐞𝐬𝐭𝐬).
🔤. The 𝐤𝐮𝐛𝐞𝐥𝐞𝐭 on the node monitors this directory for changes.
4️⃣. When a manifest file is 𝐚𝐝𝐝𝐞𝐝, 𝐮𝐩𝐝𝐚𝐭𝐞𝐝, 𝐨𝐫 𝐫𝐞𝐦𝐨𝐯𝐞𝐝, 𝐭𝐡𝐞 𝐤𝐮𝐛𝐞𝐥𝐞𝐭 𝐜𝐫𝐞𝐚𝐭𝐞𝐬, 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐨𝐫 𝐝𝐞𝐥𝐞𝐭𝐞𝐬 corresponding static pod.
Static pods are not created through the Kubernetes API server, so they do not have the full capabilities of API-managed pods. However, the kubelet creates a 𝐦𝐢𝐫𝐫𝐨𝐫 𝐩𝐨𝐝 in the API server for visibility, allowing tools like 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 to display their status.🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🌐 𝙒𝙝𝙚𝙣 𝙎𝙝𝙤𝙪𝙡𝙙 𝙔𝙤𝙪 𝙐𝙨𝙚 𝘼𝙇𝘽 𝙫𝙨. 𝘼𝙋𝙄 𝙂𝙖𝙩𝙚𝙬𝙖𝙮 + 𝘼𝙇𝘽 𝙛𝙤𝙧 𝙈𝙞𝙘𝙧𝙤𝙨𝙚𝙧𝙫𝙞𝙘𝙚𝙨 𝘾𝙤𝙢𝙢𝙪𝙣𝙞𝙘𝙖𝙩𝙞𝙤𝙣?
In a microservices architecture, 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 (𝗔𝗟𝗕) is often the go-to solution for routing incoming requests to the correct microservices based on their paths. But here's the key question: 𝘿𝙤 𝙮𝙤𝙪 𝙣𝙚𝙚𝙙 𝙖𝙣 𝘼𝙋𝙄 𝙂𝙖𝙩𝙚𝙬𝙖𝙮 𝙤𝙣 𝙩𝙤𝙥 𝙤𝙛 𝙖𝙣 𝘼𝙇𝘽?
The answer depends on how your microservice APIs are intended to be used:
🔒 𝗙𝗼𝗿 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗨𝘀𝗲
If the APIs provided by the microservices are solely for internal use (within your VPC or Account), there’s no need for an additional API Gateway. The ALB’s DNS endpoint is sufficient to access the APIs directly.
🔠 𝗪𝗵𝘆?
💵 𝗖𝗼𝘀𝘁-𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁: Reduces operational costs by avoiding unnecessary layers.
⚡ 𝗟𝗼𝘄 𝗹𝗮𝘁𝗲𝗻𝗰𝘆: Enables faster communication with fewer hops.
🛠 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝘀 𝘆𝗼𝘂𝗿 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Removes operational complexity for internal traffic.
🌍 𝗙𝗼𝗿 𝗘𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗨𝘀𝗲
If you’re exposing your microservices' APIs to external consumers (e.g., business partners, external apps), an API Gateway becomes essential. It provides:
🛡 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Authentication and authorization.
🚦 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Rate limiting, throttling, and quota management.
🔁𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: Request and response transformation for better API control.
📊 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Centralized logging and metrics via CloudWatch.
While API Gateway offers these benefits, remember that it adds operational complexity and cost. 𝗜𝗳 𝘆𝗼𝘂 𝗱𝗼𝗻’𝘁 𝗻𝗲𝗲𝗱 𝗶𝘁, 𝗮𝘃𝗼𝗶𝗱 𝘂𝘀𝗶𝗻𝗴 𝗶𝘁 𝘂𝗻𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝗶𝗹𝘆.
⭐️ 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀:
💵 𝗖𝗼𝘀𝘁 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Avoid API Gateway for internal traffic to save costs.
🔒 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Use API Gateway to secure and manage external-facing APIs.
⚡ 𝗟𝗼𝘄𝗲𝗿 𝗟𝗮𝘁𝗲𝗻𝗰𝘆: Leverage ALB for faster communication between internal microservices.
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🛠 Essential AWS CLI Commands for DevOps Engineers 🛠
📌 Setup and Configuration:
# Install AWS CLI
pip install awscli
# Configure AWS CLI
aws configure# List IAM users
aws iam list-users
# Create IAM user
aws iam create-user --user-name <username>
# Attach policy to IAM user
aws iam attach-user-policy --user-name <username> --policy-arn arn:aws:iam::aws:policy/<policy-name># List all EC2 instances
aws ec2 describe-instances
# Start an EC2 instance
aws ec2 start-instances --instance-ids <instance-id>
# Stop an EC2 instance
aws ec2 stop-instances --instance-ids <instance-id># List all S3 buckets
aws s3 ls
# Upload file to S3 bucket
aws s3 cp <file-path> s3://<bucket-name>/<file-key>
# Download file from S3 bucket
aws s3 cp s3://<bucket-name>/<file-key> <file-path># List RDS instances
aws rds describe-db-instances
# Start RDS instance
aws rds start-db-instance --db-instance-identifier <instance-id>
# Stop RDS instance
aws rds stop-db-instance --db-instance-identifier <instance-id># List CloudWatch log groups
aws logs describe-log-groups
# Create CloudWatch log group
aws logs create-log-group --log-group-name <log-group-name># List Elastic Beanstalk environments
aws elasticbeanstalk describe-environments
# Update environment to new version
aws elasticbeanstalk update-environment --environment-name <env-name> --version-label <version-label># List CloudFormation stacks
aws cloudformation describe-stacks
# Create CloudFormation stack
aws cloudformation create-stack --stack-name <stack-name> --template-body file://<template-file>
# Update CloudFormation stack
aws cloudformation update-stack --stack-name <stack-name> --template-body file://<template-file>
⚪ The simplest way to remember Kubernetes Networking
Break it into 4 layers
➡️ Layer 1 : understand CoreDNS and how it resolves service names and how it returns ClusterIP of the service
➡️ Layer 2 : understand how do you reach the service with kube-proxy and know how the traffic is routed from ClusterIP to backend pods
➡️ Layer 3 : time to understand how pods talk to each other with the help of CNI and how the networks bridges are getting formed
➡️ Layer 4 : how will the world connect to your service and understand how external access is provided with components like NodePorts, LBs and Ingress
Individually there are 4 kubernetes components that you need to learn and implement.
🟠 CoreDNS
🟠 kube-proxy
🟠 CNI Plugin
🟠 Ingress/ LB's
👍👍👍👍 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
➡️ Check out this cheat sheet for your Cloud Interview Prep
(use cases included!) ⬅️
Look for scenarios while prepping - examples below:
1️⃣. Core Cloud Concepts
↳ Example: Legacy-to-Microservices Migration
↳ Key Achievement: Designed containerization strategy that reduced deployment time by 60%
2️⃣. Cloud Providers
↳ Example: Enterprise Data Lake Implementation
↳ Key Achievement: Optimized storage tiers saving $XXK/month while maintaining performance
3️⃣. Networking
↳ Example: Multi-tier Application Security
↳ Key Achievement: Implemented network segmentation reducing attack surface by X%
4️⃣. Storage Solutions
↳ Example: High-Availability Media Platform
↳ Key Achievement: Automated lifecycle policies cutting storage costs by X%
5️⃣. Databases
↳ Example: Monolithic-to-Cloud Database Migration
↳ Key Achievement: Zero-downtime migration of 5TB database
6️⃣. Security
↳ Example: Enterprise IAM Implementation
↳ Key Achievement: Reduced security incidents by 80% through least-privilege access
7️⃣. Infrastructure as Code
↳ Example: Environment Automation with Terraform
↳ Key Achievement: Cut provisioning time from days to hours
8️⃣. Monitoring & Observability
↳ Example: Critical App Monitoring Setup
↳ Key Achievement: Reduced MTTR by XX% through proactive alerting
9️⃣. Serverless
↳ Example: Event-Driven Processing Pipeline
↳ Key Achievement: Scaled to handle 1M+ daily events automatically
1️⃣0️⃣. Containers
↳ Example: Microservices on Kubernetes
↳ Key Achievement: XX% availability across 20+ services
1️⃣1️⃣. DevOps
↳ Example: CI/CD Pipeline Implementation
↳ Key Achievement: Reduced release cycles from weeks to days
1️⃣2️⃣. Cost Management
↳ Example: Resource Optimization
↳ Key Achievement: XX% cost reduction through right-sizing
This is a high-level map of core components of cloud, focused on DevOps - if you're focusing on other specializations - there'll be additional services/topics that you need to review as well.
⚪ For each example, prepare:
- The technical challenge
- Your specific contribution
- Measurable business impact
- Lessons learned
👍👍👍👍 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
