⚡️ 𝐀𝐏𝐈 𝐆𝐚𝐭𝐞𝐰𝐚𝐲, 𝐋𝐨𝐚𝐝 𝐁𝐚𝐥𝐚𝐧𝐜𝐞𝐫, 𝐚𝐧𝐝 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐏𝐫𝐨𝐱𝐲: 𝐖𝐡𝐢𝐜𝐡 𝐎𝐧𝐞 𝐃𝐨 𝐘𝐨𝐮 𝐍𝐞𝐞𝐝?

Traffic control in the digital world can feel like solving a complex puzzle.
✅API Gateway, Load Balancer, Reverse Proxy—they all seem to do the same thing at first glance. But the truth? Their purposes are unique, and understanding them can transform your architecture. Let's unravel the mystery!

📷 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐏𝐫𝐨𝐱𝐲: 𝐓𝐡𝐞 𝐆𝐚𝐭𝐞𝐤𝐞𝐞𝐩𝐞𝐫
A reverse proxy sits in front of your servers, handling client requests. Think of it as a middleman.

𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬:
✅ Improves security by hiding internal server details.
✅ Enables caching for faster responses.
✅ Simplifies SSL termination and encryption.
When to Use It:
- You need to protect your backend infrastructure from direct exposure.
- You’re managing HTTP/HTTPS traffic effectively.

⌛ 𝐋𝐨𝐚𝐝 𝐁𝐚𝐥𝐚𝐧𝐜𝐞𝐫: 𝐓𝐡𝐞 𝐓𝐫𝐚𝐟𝐟𝐢𝐜 𝐌𝐚𝐧𝐚𝐠𝐞𝐫
A load balancer ensures requests are spread across multiple servers to prevent overload. It's like directing traffic during rush hour.
Key Features:
✅ Ensures high availability by distributing workloads.
✅ Provides failover to handle server outages.
✅ Supports scalability by managing increased traffic.
When to Use It:
- You have multiple servers and need to maintain consistent performance.
- Uptime and reliability are your top priorities.

🔗 𝐀𝐏𝐈 𝐆𝐚𝐭𝐞𝐰𝐚𝐲: 𝐓𝐡𝐞 𝐀𝐏𝐈 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭
API Gateway acts as the single entry point for APIs, handling all the heavy lifting. It’s the concierge for your microservices.
Key Features:
✅ Handles authentication, rate limiting, and logging.
✅ Simplifies API versioning and routing.
✅ Bridges communication between microservices.
When to Use It:
- You’re managing multiple APIs and need centralized control.
- You want to offload cross-cutting concerns like security or monitoring.

🧩 𝐇𝐨𝐰 𝐭𝐨 𝐂𝐡𝐨𝐨𝐬𝐞?
- Use Reverse Proxy if you need enhanced security and basic traffic forwarding.
- Use Load Balancer to distribute traffic and ensure availability.
- Use API Gateway for a powerful, API-first architecture, especially with microservices.


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

🔥 Becoming a Certified Kubernetes Administrator, an EXPERT in K8s from scratch, and much MORE! 🔥

🔗 Link: https://github.com/NotHarshhaa/Certified_Kubernetes_Administrator

If you want to become a Certified Kubernetes Administrator, or you want to become an EXPERT in Kubernetes, learn Kubernetes from scratch and understand everything, this repo is a good choice.

🟡 Table of Contexts:

1. Kubernetes
2. Helm
3. Operator
4. Prometheus
5. EKS


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

😀✨ Merry Christmas, ProDevOpsGuy Tech Community! 😀✨

As the year draws to a close, we want to express our heartfelt gratitude to each one of you for being an integral part of this amazing journey. Your enthusiasm, knowledge sharing, and passion for DevOps have made this community truly special.

May this festive season bring you joy, peace, and success in all your endeavors. Let’s continue building, learning, and growing together in the year to come.

Wishing you and your loved ones a Merry Christmas and a prosperous New Year! 🎉

Stay inspired and keep automating! 🎄🧶


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

🟡 𝗬𝗼𝘂 𝗠𝗨𝗦𝗧 𝗟𝗲𝗮𝗿𝗻 𝘁𝗵𝗲 🐧𝗟𝗶𝗻𝘂𝘅 𝗳𝗶𝗹𝗲 𝘀𝘆𝘀𝘁𝗲𝗺

Linux's file system is tree-like. The base is "/", with everything else branching off.

➡️ Core Directories:

/bin 🛠: Essential binaries, e.g., bash, ls, grep.
/boot 🚀: Boot items like kernel & bootloader.
/dev 🔌: Device files for connected hardware.
/etc 📜: System configuration files.
/home 🏡: User home directories.
/lib 📚: Shared libraries for programs.
/media 💿: Mounts for removable media.
/mnt 🧲: Temporary mounts.
/opt 📦: Optional software.
/proc 📊: System, process, memory info.
/root 👑: Root user's home.
/sbin 🔧: System admin tools, e.g., init.
/srv 🌐: Data for services.
/tmp 🌡: Temporary files.
/usr 🖥: User software.
/var 🔄: Variable data, logs, temp files.

🐧 Linux Commands:

cd 🚶: Navigate.
ls 📋: List contents.
mkdir 📁: Create folder.
rmdir 🗑: Delete folder.
cp 📤: Copy.
mv 🚚: Move.
rm ❌: Delete.

⚠️ Note: Directories like /bin are crucial. Don't modify!

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

🚀 Master AWS CloudFormation! 🌐

💡 Ready to simplify infrastructure management? Check out our latest article:
"Automating Infrastructure with AWS CloudFormation: A Beginner's Guide"

🎯 What you'll learn:
✅ Step-by-step guide to creating your first CloudFormation stack
✅ Detailed explanation of templates, stacks, and change sets
✅ Best practices for error-free automation
✅ Tips to handle common challenges

🔗 Read now and take your DevOps skills to the next level: https://dev.to/prodevopsguytech/automating-infrastructure-with-aws-cloudformation-a-beginners-guide-d1k

✨ Let’s automate and innovate together! 🌟


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

🐱 Git can be confusing at first. But trust me, once you grasp the basics, it's a game-changer.

▶️ Here's a quick rundown:

⚡️𝐘𝐨𝐮𝐫 𝐖𝐨𝐫𝐤𝐬𝐩𝐚𝐜𝐞: This is where you actually code. Simple.

⚡️𝐒𝐭𝐚𝐠𝐢𝐧𝐠 (𝐠𝐢𝐭 𝐚𝐝𝐝): Think of it as a prep area. You're telling Git, "Hey, these changes are important."

⚡️𝐋𝐨𝐜𝐚𝐥 𝐑𝐞𝐩𝐨 (𝐠𝐢𝐭 𝐜𝐨𝐦𝐦𝐢𝐭): This is your personal save point. Commit often, thank yourself later.

⚡️𝐑𝐞𝐦𝐨𝐭𝐞 𝐑𝐞𝐩𝐨 (𝐆𝐢𝐭𝐇𝐮𝐛, 𝐆𝐢𝐭𝐋𝐚𝐛 𝐞𝐭𝐜.): The cloud where your team's code lives. This is where the collaboration magic happens.

⚡️𝐊𝐞𝐲 𝐦𝐨𝐯𝐞𝐬:
- 𝑷𝒖𝒔𝒉: Send your local commits to the remote repo.
- 𝑷𝒖𝒍𝒍: Grab the latest changes from remote. It's actually fetch + merge in one go.
- 𝑭𝒆𝒕𝒄𝒉: Download changes, but don't apply them yet.
- 𝑴𝒆𝒓𝒈𝒆: Combine those fetched changes with your work.


🎄 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

🌟 𝗪𝗵𝘆 𝗖𝗼𝗺𝗽𝗶𝗹𝗶𝗻𝗴 𝗖𝗼𝗱𝗲 𝗶𝗻 𝗗𝗼𝗰𝗸𝗲𝗿 𝗶𝘀 𝗮 𝗚𝗮𝗺𝗲-𝗖𝗵𝗮𝗻𝗴𝗲𝗿 🌟

Ever had something work perfectly on your machine but fail elsewhere? 😅 Docker can solve that! Here’s how Docker simplifies your workflow:

🔹 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 𝗔𝗰𝗿𝗼𝘀𝘀 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀 🔑
With Docker, you’re using the same environment locally, in CI/CD, and production. No more "it works on my machine" issues! 🙌

🔹 𝗜𝘀𝗼𝗹𝗮𝘁𝗲𝗱, 𝗖𝗹𝗲𝗮𝗻 𝗦𝗲𝘁𝘂𝗽𝘀 🧼
Each project gets its own container, avoiding dependency clashes and system-level config issues. 🎯

🔹 𝗥𝗲𝗽𝗿𝗼𝗱𝘂𝗰𝗲 𝗕𝘂𝗶𝗹𝗱𝘀 𝗔𝗻𝘆𝘁𝗶𝗺𝗲 🔄
Need a build from months ago? Docker’s versioned environments let you recreate it instantly. ⏳

🔹 𝗖𝗜/𝗖𝗗 𝗣𝗲𝗿𝗳𝗲𝗰𝘁𝗶𝗼𝗻 🛠
Docker ensures clean builds every time, avoiding leftover artifacts. Reusable images mean faster pipelines! 🚀

🔹 𝗖𝗿𝗼𝘀𝘀-𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗖𝗼𝗺𝗽𝗮𝘁𝗶𝗯𝗶𝗹𝗶𝘁𝘆 💻
Whether it’s Linux, Windows, or ARM, Docker handles it all. 🛠

🔹 𝗘𝗮𝘀𝘆 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 📈
Run as many containers as you need—parallel builds without a hitch. 💨

🔹 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗣𝗲𝗮𝗰𝗲 𝗼𝗳 𝗠𝗶𝗻𝗱 🔒
Containers are isolated, minimizing risks to the host. Crucial for handling sensitive data! 🛡

🔹 𝗣𝗼𝗿𝘁𝗮𝗯𝗹𝗲 𝗕𝘂𝗶𝗹𝗱 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀 🧳
Develop, test, and deploy anywhere—Docker ensures consistency across all platforms. 🏗

🔹 𝗧𝗼𝗼𝗹𝗰𝗵𝗮𝗶𝗻 𝗙𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 🛠
Need different tools for different projects? Docker packages custom toolchains with ease. 🧰

🔹 𝗙𝗮𝘀𝘁𝗲𝗿 𝗢𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴 🏁
New team members? Just give them the Docker image—they’ll be coding in no time! 💻



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

➡️ Why ArgoCD is so Popular ?

↳ In GitOps world everyone is aware about the ArgoCD.

It's has tremendous features due to which its first choice of almost every DevOps engineer.

1. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 of applications to specified target environment in multiple clusters
Support for multiple config management/templating tools-->
• Kustomize
• Helm
• Ksonnet
• Jsonnet
• Plain-YAML

2. 𝗦𝗦𝗢 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 :
• OIDC
• OAuth2
• LDAP
• SAML 2.0
• GitHub
• GitLab
• Microsoft
• LinkedIn

3. 𝗠𝘂𝗹𝘁𝗶-𝘁𝗲𝗻𝗮𝗻𝗰𝘆 𝗮𝗻𝗱 𝗥𝗕𝗔𝗖 policies for authorization

4. 𝗥𝗼𝗹𝗹𝗯𝗮𝗰𝗸/𝗥𝗼𝗹𝗹-𝗮𝗻𝘆𝘄𝗵𝗲𝗿𝗲 to any application configuration committed in Git repository.
• Health status analysis of application resources

5. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗰𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻 𝗱𝗿𝗶𝗳𝘁 detection and visualization

6. Out-of-the-box Prometheus metrics

7. Audit trails for application events and API calls

8. PreSync, Sync, PostSync hooks:
• Support complex application rollouts
-> blue/green
-> canary upgrades

9. Web-hook integration
-> GitHub
-> BitBucket
-> GitLab

10. CLI and access tokens for automation and Cl integration

11. Web UI which provides real-time view of application activity

12. Automated or manual syncing of applications to its desired state


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

➡️ 70 Important Google Cloud Platform (GCP) interview questions ranging from beginner to advanced levels:


➡️ Beginner Level
1. What is Google Cloud Platform (GCP)?
2. What are the key services offered by GCP?
3. What is Google Compute Engine?
4. What is Google Cloud Storage?
5. Explain the difference between Google Cloud Storage and Persistent Disks.
6. What is Google App Engine?
7. What are Google Cloud Regions and Zones?
8. What is Google Kubernetes Engine (GKE)?
9. What is Google Cloud IAM (Identity and Access Management)?
10. How does Google Cloud VPC work?
11. What is Google BigQuery?
12. What is Google Cloud Pub/Sub?
13. What is Google Cloud Functions?
14. Explain the concept of Preemptible VMs in GCP.
15. What is Google Cloud Datastore?
16. What is Google Cloud SQL?
17. How does Google Cloud Load Balancing work?
18. What is Google Cloud Spanner?
19. What is the Google Cloud Marketplace?
20. What is Google Cloud Memorystore?
21. What is Google Cloud Bigtable?
22. What is Google Cloud Endpoints?
23. What is Google Cloud Dataflow?
24. How does Google Cloud Monitoring work?
25. What is Google Cloud AutoML?
26. What is Google Cloud Run?
27. Explain the difference between Google App Engine and Google Cloud Functions.
28. What is Google Cloud Interconnect?
29. What is Google Cloud Armor?
30. What is Google Cloud Vision API?

➡️ Intermediate Level
31. How do you secure data in GCP?
32. What is the difference between Google Cloud SQL and Google Cloud Spanner?
33. What is Google Cloud Deployment Manager?
34. How does Google Cloud DNS work?
35. What is Google Cloud CDN?
36. Explain the concept of Google Cloud Firestore.
37. What is Google Cloud Composer?
38. What is the difference between Google Cloud Datastore and Google Cloud Firestore?
39. What is Google Cloud Data Fusion?
40. What is Google Cloud Resource Manager?
41. What is Google Cloud Operations Suite (formerly Stackdriver)?
42. What is Google Cloud VPN?
43. What is Google Cloud NAT?
44. Explain the concept of VPC peering in GCP.
45. What is Google Cloud Filestore?
46. How does Google Cloud Key Management Service (KMS) work?
47. What is Google Cloud Identity?
48. What is Google Cloud Healthcare API?
49. How do you manage access control in GCP?
50. What is Google Cloud Traffic Director?
51. What is Google Cloud Anthos?
52. What is Google Cloud Tasks?
53. Explain the concept of Google Cloud Secret Manager.
54. What is Google Cloud Transfer Service?
55. What is Google Cloud Apigee?
56. What is Google Cloud Data Labeling Service?
57. How does Google Cloud Profiler work?
58. What is the difference between Google Cloud SQL and Google BigQuery?
59. What is Google Cloud Logging?
60. What is Google Cloud Asset Inventory?

➡️ Advanced Level
61. What is the Google Cloud Shared VPC?
62. How do you implement CI/CD in GCP?
63. What is Google Cloud Service Directory?
64. What is the role of Google Cloud in machine learning?
65. What is Google Cloud Tensor Processing Unit (TPU)?
66. Explain the concept of multi-region deployments in GCP.
67. How do you optimize costs in GCP?
68. What is Google Cloud Private Catalog?
69. How do you manage hybrid cloud deployments with GCP?
70. What are the best practices for securing a GCP environment?


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

☄️ Project-08: Kubernetes End to End Project on EKS (Amazon Kubernetes Service)🎤


⏩ Project Link: https://github.com/NotHarshhaa/DevOps-Projects/tree/master/DevOps-Project-08

✅ Project Description:

A Kubernetes End-to-End (E2E) project for deploying a 2048 game app on Amazon Elastic Kubernetes Service (EKS) involves setting up, deploying, and managing the popular 2048 game application on a Kubernetes cluster running on AWS EKS. This project aims to demonstrate how to containerize a web application, deploy it on EKS, manage the cluster, and expose the application to users.

🌐 Follow me on GitHub: https://www.github.com/NotHarshhaa


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

🚨 Terraform important commands and concepts


1. terraform init: Initializes a Terraform working directory.
2. terraform validate: Validates the Terraform configuration files.
3. terraform fmt: Formats the Terraform configuration files.

▶️ Section 2: Infrastructure Management
4. terraform apply: Applies the configuration to create or update infrastructure.
5. terraform destroy: Destroys the infrastructure managed by Terraform.
6. terraform refresh: Refreshes the Terraform state to match the actual infrastructure.
7. terraform show: Shows the Terraform state and configuration.

▶️ Section 3: State Management
8. terraform state list: Lists the resources in the Terraform state.
9. terraform state show: Shows the details of a specific resource in the Terraform state.
10. terraform state rm: Removes a resource from the Terraform state.
11. terraform state mv: Moves a resource from one state to another.

▶️ Section 4: Module Management
12. terraform get: Downloads and installs Terraform modules.
13. terraform module: Manages Terraform modules.
14. terraform module init: Initializes a Terraform module.

▶️ Section 5: Provider Management
15. terraform providers: Lists the available Terraform providers.
16. terraform provider: Manages Terraform providers.
17. terraform provider init: Initializes a Terraform provider.

▶️ Section 6: Workspace Management
18. terraform workspace: Manages Terraform workspaces.
19. terraform workspace new: Creates a new Terraform workspace.
20. terraform workspace select: Selects a Terraform workspace.

▶️ Section 7: Debugging and Troubleshooting
21. terraform debug: Enables debug logging for Terraform.
22. terraform logs: Shows the Terraform logs.
23. terraform console: Opens a Terraform console for interactive debugging.

▶️ Section 8: Import and Export
24. terraform import: Imports existing infrastructure into Terraform.
25. terraform export: Exports the Terraform state to a file.

▶️ Section 9: Miscellaneous
26. terraform version: Shows the Terraform version.
27. terraform help: Shows the Terraform help.
28. terraform upgrade: Upgrades Terraform to the latest version.

▶️ Section 10: Advanced Topics
29. terraform console: Opens a Terraform console for interactive debugging.
30. terraform graph: Generates a graph of the Terraform configuration.
31. terraform output: Shows the output of a Terraform configuration.

▶️ Section 11: Terraform CLI
32. terraform cli: Manages the Terraform CLI.
33. terraform cli config: Configures the Terraform CLI.

▶️ Section 12: Terraform Configuration
34. terraform config: Manages the Terraform configuration.
35. terraform config init: Initializes a Terraform configuration.

▶️ Section 13: Terraform State Backend
36. terraform state backend: Manages the Terraform state backend.
37. terraform state backend init: Initializes a Terraform state backend.

▶️ Section 14: Terraform Workspaces
38. terraform workspace: Manages Terraform workspaces.
39. terraform workspace new: Creates a new Terraform workspace.


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

🚀 Best Freshers Projects for DevOps Engineers 🚀

👋 Hello Freshers! Ready to kickstart your career in DevOps? Here are some exciting project ideas to get you started and build a solid portfolio:

1. Automated Deployment Pipeline:
- Learn to set up CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions.
- Automate testing, integration, and deployment processes.

2. Containerized Applications with Docker:
- Containerize a web application using Docker.
- Deploy multi-container applications with Docker Compose.

3. Infrastructure as Code (IaC):
- Use Terraform or AWS CloudFormation to manage and provision cloud infrastructure.
- Practice writing modular and reusable code.

4. Kubernetes Cluster Setup:
- Set up a Kubernetes cluster from scratch.
- Deploy and manage applications in a Kubernetes environment.

5. Monitoring and Logging:
- Implement monitoring using Prometheus and Grafana.
- Set up centralized logging with ELK Stack (Elasticsearch, Logstash, Kibana).

6. Configuration Management:
- Use Ansible or Puppet to automate configuration management tasks.
- Write playbooks/manifests to manage server configurations.

7. Version Control and Collaboration:
- Contribute to open-source projects on GitHub.
- Learn best practices for branching, merging, and pull requests.

8. Cloud Services Deployment:
- Deploy and manage applications on AWS, Azure, or Google Cloud.
- Get hands-on experience with services like EC2, S3, RDS, and Lambda.

📈 Tips to Succeed:
- Document your projects on GitHub with detailed README files.
- Write blogs or create videos to explain your projects.
- Network with other DevOps enthusiasts and professionals.

🛠 Start building your projects today and showcase your skills to potential employers. Happy coding! 🎉


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

⭐️ 𝘼𝙡𝙡 𝙞𝙣 𝙊𝙣𝙚 𝙗𝙪𝙙𝙙𝙡𝙚 𝙤𝙛 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 ⭐️


📱 SOURCE LINK: https://github.com/NotHarshhaa/Kubernetes

🛑 This Repository includes:-

- Deployment manifest files
- Jenkins deployments & configurations
- Kubernetes Ingress files
- Realtime projects manifest files
- Helm charts for any application
- End to End Manifest files for any applications
- Includes AWS ELK Stack (Elasticsearch, Logstash, Kibana)
- Network service configurations templates
- Application monitoring templates for any applications
- Complete application launch manifest files for Realtime projects


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

➡️ 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

✅ Kubernetes Roadmap

#️⃣Core Components
Pods, ReplicaSets, Deployments: Basic building blocks of Kubernetes clusters.

#️⃣Stateful Application & Data Management
PersistentVolumes, StatefulSets: Managing stateful applications and data within Kubernetes.

#️⃣Infrastructure and Control Plane
Nodes, Controllers, Scheduler: Core infrastructure management and control mechanisms.

#️⃣Security and Identity Management
RBAC, Network Policies: Ensuring secure access and communication within clusters.

#️⃣Auto Scaling & Load Balancing
HorizontalPodAutoscaler, Ingress Controllers: Automatic scaling and efficient traffic distribution.

#️⃣Backup, Restore and Disaster Recovery
Velero (formerly Heptio Ark): Tools for data protection and disaster recovery strategies.

#️⃣Networking
Services, DNS, CNI: Network configuration and communication between Kubernetes components.

#️⃣Package Management and Configuration
Helm, Operators: Managing application packages and custom resources.

#️⃣Monitoring and Observability
Prometheus, Grafana: Tools for monitoring cluster health and performance.

#️⃣Continuous Integration & Deployment
Jenkins, GitLab CI/CD: Integrating CI/CD pipelines for automated application deployment.


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

🟩 AWS & DevOps Free Videos :– 🟩


🗯 Part -1 : https://drive.google.com/drive/folders/1P2MORPWWUDk6MBzLktlahDRHJgh9YNta?usp=sharing

🗯 Part -2: https://drive.google.com/drive/folders/1-9pCWtNrSwWW3Bgd0BjqfH_x0sfJcXvE?usp=sharing

🗯 Part -3 : https://drive.google.com/drive/folders/1OD3B97MfmlQbnBVB_PMbt5bb5mtjyQk9?usp=sharing


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

🟩 Docker Free Videos 🐬


🔗 Link : https://drive.google.com/drive/folders/1lXSplxsWu-7f4Bbb3V9o-Em4XUahWVeD?usp=sharing


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