🌟 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 𝘃𝘀. 𝗦𝘁𝗮𝘁𝗲𝗳𝘂𝗹𝗦𝗲𝘁𝘀 🌟

Making the right choice between Deployments and StatefulSets in Kubernetes can be a game-changer for your applications. It's not just a technical decision; it's about aligning your architecture with your application's needs!

🔍 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 are the go-to for stateless applications. They shine when you need scalable, updatable, and replaceable containers. Think of front-end apps, RESTful APIs, or any service where the individual identity of a pod doesn't matter.

🔐 𝗦𝘁𝗮𝘁𝗲𝗳𝘂𝗹𝗦𝗲𝘁𝘀, on the other hand, are crucial for stateful applications. They maintain a sticky identity for each pod, perfect for databases or any application where data consistency and unique network identifiers are key.

The impact of this choice is huge:
🚀 Scalability: How your application scales under load.
💾 Data Management: How your application handles data persistence.
🔄 Updates: How updates and rollbacks are managed.

👨‍💻 As DevOps and cloud professionals, understanding these nuances ensures our applications are robust, resilient, and ready to scale.


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

☄️ 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 and why should you 𝗹𝗲𝗮𝗿𝗻 𝗶𝘁 𝗮𝘀 𝗠𝗟𝗢𝗽𝘀/𝗠𝗟/𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿? 🔻

Today we look into the Kubernetes system from a bird's eye view.

➡️ 𝗦𝗼, 𝘄𝗵𝗮𝘁 𝗶𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 (𝗞𝟴𝘀)?

1⃣: It is a container orchestrator that performs the scheduling, running and recovery of your containerised applications in a horizontally scalable and self-healing way.

➡️ Kubernetes architecture consists of two main logical groups:

2⃣: Control plane - this is where K8s system processes that are responsible for scheduling workloads defined by you and keeping the system healthy live.
3⃣: Worker nodes - this is where containers are scheduled and run.

➡️ 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂?

4⃣: You can have thousands of Nodes (usually you only need tens of them) in your K8s cluster, each of them can host multiple containers. Nodes can be added or removed from the cluster as needed. This enables unrivaled horizontal scalability.
5⃣: Kubernetes provides an easy to use and understand declarative interface to deploy applications. Your application deployment definition can be described in YAML, submitted to the cluster and the system will take care that the desired state of the application is always up to date.
6⃣: Users are empowered to create and own their application architecture in boundaries pre-defined by Cluster Administrators.

✅ In most cases you can deploy multiple types of ML Applications into a single cluster, you don’t need to care about which server to deploy to - K8s will take care of it.
✅ You can request different amounts of dedicated machine resources per application.
✅ If your application goes down - K8s will make sure that a desired number of replicas is always alive.
✅ You can roll out new versions of the running application using multiple strategies - K8s will safely do it for you.
✅ You can expose your ML Services for other Product Apps to use with few intuitive resource definitions.
✅ …



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

🚀 𝗪𝗵𝘆 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀? 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝗜𝘁𝘀 𝗣𝗼𝘄𝗲𝗿 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 🚀

Kubernetes has revolutionized the way we handle containerized applications, but it's not without its complexities. Here's a quick dive into why Kubernetes is a game-changer and a note on its intricate nature:

💪 𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀:
🔢 Enhanced Scalability: Effortlessly scale your apps to handle increased traffic.
🔢 High Availability & Resilience: Keep your services up and running, no matter what.
🔢 Improved Resource Utilization: Say goodbye to resource wastage and hello to cost efficiency.
🔢 Automated Rollouts and Rollbacks: Deploy new features with confidence and ease.
🔢 Strong Community Support: Tap into the collective wisdom of Kubernetes experts.

❓ 𝗕𝘂𝘁, 𝗜𝘀 𝗜𝘁 𝗔𝗹𝘄𝗮𝘆𝘀 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗧𝗼𝗼𝗹?
While Kubernetes excels in managing complex applications, its strength can be a challenge for simpler needs. The learning curve is steep, and setting up a Kubernetes environment for a basic app might be like using a sledgehammer to crack a nut. It requires a thoughtful approach - understanding that the power it brings is accompanied by a level of complexity not always necessary for smaller-scale applications.

🔍 𝗧𝗵𝗲 𝗕𝗼𝘁𝘁𝗼𝗺 𝗟𝗶𝗻𝗲:
Kubernetes is incredibly powerful, but it's not a one-size-fits-all solution. For complex, scalable applications, it's a match made in heaven. But for smaller, simpler projects, consider the overhead and whether a simpler solution might meet your needs.


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

A meme that's sure to resonate with everyone riding the DevOps and cloud wave. It’s our good pal, Elmo, with 'new certifications' as his latest obsession, while 'projects' and 'study topics' wait in the wings.

✅ Here’s the deal: Certifications are like the cherry on top of your cloud sundry. They're shiny, they're nice, but what really makes the sundae is the scoop of solid knowledge and the sprinkles of hands-on experience.

Before you dive headfirst into the sea of certifications, anchor yourself in the fundamentals of DevOps and cloud computing. Get your hands dirty with real-world projects. Tinker with Kubernetes, wrestle with Terraform, and flirt with serverless architectures.

✅ The thing is, certifications will validate your skills, but they won't build them. You don’t want to be a cert-collecting lab rat lost in a maze of theory. What makes you stand out is not just the badges on your LinkedIn profile but the stories of problem-solving, innovation, and resilience from your actual work.

So, by all means, aim for those certifications – but not before you’ve laid a foundation of practical skills and knowledge. Let's ensure that when we reach for the stars (or certs, in this case), our feet are firmly planted in the cloud soil of expertise.


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

🔥 AWS Cloud ☁️ 🆓 Videos 📷


🟡 Part 1: https://drive.google.com/drive/folders/17Q3Tf3PEfmq_cGM97brqO3oCR0EPLFC8?usp=sharing

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❤️ Follow for more: @prodevopsguy

🟩 AWS & DevOps Free Videos :– 🟩


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

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➡️Docker 🐬 and Kubernetes Free Videos 🟩 :

✅Link: https://drive.google.com/drive/folders/162YOHhybk_pYemCfKmKSGbdSjJDeuAYR?usp=sharing


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🟩 Docker Free Videos 🐬

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


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🟩 🌐 Git/GitHub Free Videos:- 🟩

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🟥 75+ DevOps & Cloud Documents 📇 Uploaded

🍇🍇🍇 Here to Here 🍇🍇🍇


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

📘 Top 12 ☁️ Git Commands Cheat Sheet

🌐 git init - Initialize a new Git repository.
🌐 git clone - Clone a remote repository to your local machine.
🌐 git status - Check the current state of your working directory.
🌐 git add - Stage changes for the next commit.
🌐 git commit - Record staged changes and create a snapshot.
🌐 git push - Upload local changes to a remote repository.
🌐 git pull - Fetch and merge changes from a remote repository.
🌐 git branch - List, create, or delete branches.
🌐 git checkout / git switch - Switch between branches or commits.
🌐 git merge - Integrate changes from one branch into another.
🌐 git diff - View differences between working directory and staging area.
🌐 git log - Display a chronological list of commits.


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

👉 Learn 🤓 Linux with these 6 websites


1⃣. Sysxplore
➡️ sysxplore.com

🔢. LinuxOpsys
➡️ linuxopsys.com

🔢. Linux Handbook
➡️ linuxhandbook.com

🔢. Linuxize
➡️ Linuxize.com

🔢. Linux Journey
➡️ linuxjourney.com

🔢. Linux Survival
➡️ Linuxsurvival.com


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

🆘 Here is every AWS Certification you can earn

📝 Sorted By 4 Categories:

🟡 Foundational
➡️ AWS Certified Cloud Practitioner
https://lnkd.in/gQq_EERV

🟡 Associate
➡️ AWS Certified Solutions Architect
https://lnkd.in/g7RBTgKW
➡️ AWS Certified Developer
https://lnkd.in/g2F5UFHg
➡️ AWS Certified SysOps Administrator
https://lnkd.in/giM_2_Qj
➡️ AWS Certified Data Engineer
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🟡 Professional
➡️ AWS Certified Solutions Architect Pro
https://lnkd.in/gUqrz8X3
➡️ AWS Certified DevOps Engineer Pro
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🟡 Specialty
➡️ Advanced Networking
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➡️ Data Analytics
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➡️ Database
https://lnkd.in/gN64Xv49
➡️ Machine Learning
https://lnkd.in/g9fVgwCp
➡️ Security
https://lnkd.in/gwHscntY
➡️ SAP on AWS
https://lnkd.in/gMMpuhZM


❤️ Follow for more: @prodevopsguy

🐬 Dockerfile Checklist 👇

Navigating the ✔️ best practices and ❌ DONT's while handling a Dockerfile


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

🔥 DevOps Project-11: Deploy Two-Tier Architecture on AWS using Terraform ♾

🔗 Project Link: HERE
🔗 Detailed Blog Link: HERE

🔄 Project Overview :-
In the world of cloud computing, infrastructure as code (IaC) plays a pivotal role in automating the deployment and management of resources. This blog post provides a step-by-step guide on creating a Two-Tier architecture on AWS using Terraform. We’ll explore the essential services involved, ensuring high availability, security, and scalability for hosting a static website.

Also, we are adopting a modular approach with enhanced security measures. The infrastructure is organized into dedicated modules, ensuring a scalable, maintainable, and secure deployment.

❤️‍🔥 Share with friends and colleagues ❤️‍🔥

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


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

⛔ Freshers can add this project to ur resume skills list, it helps for 😀 shortlisting the job 🧳

❤️‍🔥 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 🥳

📌 1. GIT
🔗 https://t.co/tjoVxVoKk4

📌 2. Linux
🔗 https://t.co/c9pQVISTEl

📌 3. DevOps
🔗 https://t.co/5tjVYs8aY8

📌 4. CI/CD
🔗 https://t.co/Xv1E1ctx1v

📌 5. Docker
🔗 https://t.co/8p2scaojdh

📌 6. Kubernetes
🔗 https://t.co/MFFlBdjc5J

📌 7. GitHub
🔗 https://t.co/x9XZrjBH7k

📌 8. AWS
🔗 https://t.co/tNagHxnATP

📌 9. Azure
🔗 https://t.co/cORm4so14M

📌 10. GCP
🔗 https://t.co/NlqXyDNwHb

📌 11. Serverless
🔗 https://t.co/wWcvkEapYE

📌 12. Jenkins
🔗 https://t.co/e9dYJeshn7

📌 13. Ansible
🔗 https://t.co/64NgUU1f7x

📌 14. VirtualBox & vSphere
🔗 https://t.co/h9M0DwyZKA


🔵 Follow for more: @prodevopsguy

🟩 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 for more: @prodevopsguy

🔥 DevOps Project-10: Create a CI/CD pipeline for .NET with the DevOps Starter Project ♾

🔗 Project Link: https://github.com/NotHarshhaa/DevOps-Projects/tree/master/DevOps%20Project-10

🔄 Project Overview :-
The DevOps Starter Project simplifies the setup of an entire continuous integration (CI) and continuous delivery (CD) pipeline to Azure with Azure DevOps. You can start with existing code or use one of the provided sample applications. Then you can quickly deploy that application to various Azure services such as Virtual Machines, App Service, Azure Kubernetes Services (AKS), Azure SQL Database and Azure Service Fabric.

❤️‍🔥 Share with friends and colleagues ❤️‍🔥

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


❤️ Follow for more: @prodevopsguy