#Cloud Computing Deployment Models

Comment “CLOUD” to get the links! 🔥 Trying to work in modern tech without understanding Cloud Computing is like building software for a single laptop in a world that runs on distributed systems. If you want scalability, reliability, and real-world engineering skills, this mini roadmap is your entry point. ⚡ Cloud Computing Explained A clear, high-level breakdown of what cloud computing actually is, why it exists, and how companies really use it. ⏱ Cloud Computing in 2 Minutes A fast, simplified overview to lock in the core ideas: servers, regions, scalability, and on-demand infrastructure. ☁ What is Cloud Storage? Understand object storage, why it replaced traditional servers, and how data is stored and accessed at scale. 💡 With these Cloud resources you will: 🚀 Think beyond “my code runs locally” and start thinking in distributed systems 🧠 Understand the foundations behind AWS, Azure, and GCP 🏗 Bridge the gap between writing code and deploying real, scalable applications ☁ Level up for Backend, Cloud, DevOps, and Production Engineering roles If you want to move from “I built an app” to “I deployed a system that scales,” Cloud Computing isn’t optional, it’s foundational. 📌 Save this post so you always have a Cloud roadmap. 💬 Comment “CLOUD” and I’ll send you all the links! 👉 Follow for more Backend Engineering, Cloud, System Design, and Career Growth.

Cloud Computing Roadmap: From Beginner to Expert 1. Introduction to Cloud Computing - Definition and Basics - Evolution of cloud computing - Benefits and Challenges 2. Cloud Service Models - Infrastructure as a Service (IaaS) - Virtual Machines - Storage solutions - Platform as a Service (PaaS) - App hosting - Database services - Software as a Service (SaaS) - Cloud-based software apps 3. Cloud Deployment Models - Public Cloud - Private Cloud - Hybrid Cloud - Multi-cloud 4. Core Cloud Services - Compute - EC2, Azure VM, Google Compute Engine - Storage - S3, Azure Blob, Google Cloud Storage - Databases - AWS RDS, Azure SQL, Google Cloud SQL 5. Networking in Cloud - Virtual Networks - Load Balancers - Content Delivery Networks 6. Cloud Security - Identity and Access Management (IAM) - Data encryption - Compliance and Certifications 7. Cloud Management and Monitoring - Resource monitoring - Automation and scaling - Cloud cost management 8. Containers and Microservices in Cloud - Docker - Kubernetes - Amazon ECS, Azure Kubernetes Service 9. Cloud DevOps - Continuous Integration & Continuous Deployment (CI/CD) - Infrastructure as Code (IaC) 10. Advanced Cloud Architectures - Serverless computing - AWS Lambda, Azure Functions - Big Data and Analytics - AWS Redshift, Google BigQuery - Machine Learning in the Cloud - AWS SageMaker, Azure ML 11. Multi-cloud strategies - Using AWS, Azure, GCP together - Data transfer and interoperability Projects to Add to Resume: 1. Deploy a multi-tier web application in the cloud. 2. Migrate an on-premises database to a cloud provider. 3. Set up a CI/CD pipeline using cloud services. #cloudcomputing #aws #gcp #azure #microsoft #jobs #interview #sql #dsa #programmer #programming #programminglife

Cloud computing, explained by cats. #cloud #coding #cat #software #developer #infrastructure

Let’s deploy a project together with GPU resources because your girl does not own a GPU! Comment what is the hardest part for you about deployment - is it just getting started? Learning the basics? Optimizing costs? Hopefully we can do some more videos and make learning be simplified and fun 🤩 #cloudcomputing #gpu #nvidia #huggingface

Top 6 Skills to Become a Cloud Architect! 🚀☁️ In this video, I’m breaking down the top 6 essential skills you need to become a cloud architect: 1. Infrastructure as Code (IaC): Master tools like Terraform and CloudFormation. 2. Networking: Understand virtual networks, routing, and security groups. 3. Security: Learn cloud security best practices and IAM. 4. DevOps: Get hands-on with CI/CD pipelines, Docker, and Kubernetes. 5. Scripting/Programming: Proficiency in Python, Java, Go, Bash, or PowerShell. 6. Monitoring and Logging: Use tools like Prometheus and CloudWatch for monitoring and logging. Boost your cloud career with these must-have skills! 💪📈 #CloudArchitect #TechSkills #CloudTechnology #DevOps #Networking #IaC #CloudSecurity #TechTokWithKriti #WomenInTech #Programming #TechEducation #CareerTips #TechCommunity

Comment “AI” and I’ll send you the full breakdown. This viral build uses two AI models to power a real time geospatial dashboard that looks like it belongs in a CIA ops room. credit to @bilawal.ai #ai #tech #gemini3 #claude

7 Tech Skills In 7 VIDEOS 🚀👩‍💻 If your goal is to become a solid Cloud or DevOps engineer in 2026, this is the foundation that actually matters. Linux: Understand the machine. Networking: Understand how systems talk. System Design: Think in scalable architectures. Docker + Kubernetes: Run workloads properly. Terraform: Provision infrastructure as code. AWS/GCP: Know the services that actually matter. CI/CD: Automate everything end-to-end. Master this stack and you’re not “learning tools.” You’re building real engineering depth. 💬 Comment “yt” and I’ll DM you the full list. Credits: @bootdotdev PowerCert Animated Videos @freecodecamp DevOps Directive @techworld_with_nana . . [youtube videos, playlists, free resources, devops roadmap, learn kubernetes, learn docker, ci cd automation, cloud engineering, devops tutorial, cloud computing, devops engineer, system design concepts, networking concepts, cloud platforms, aws, gcp, google cloud, coding]

Here are 3 cloud projects you can build in a weekend 👇 1. Host a static website - Get your site online fast. 2. Visualize data with QuickSight - Turn raw data into insights. 3. Build an Amazon Lex chatbot - Create an AI-powered assistant. These projects are simple but powerful. They give you real, hands-on experience that looks great on your resume. Comment "projects" if you want more like this. #CloudComputing #AWSProjects #LearnByDoing #TechCareers #handsonlearning

Links in the captions ↓ Ready to master hands-on AWS skills and become a Cloud Engineer & Architect? 💡According to salary data reports, AWS Cloud Engineer & Architects are expected to earn an average of $134,783+ per year. The demand for professionals is surging with rapid adoption of cloud services. ❌ Avoid the outdated tutorials and overpriced bootcamps. ✅ Follow these 4 steps below: 1. LEARN: AWS Cloud Practitioner Learn AWS from scratch, from an industry expert. You’ll learn AWS fundamentals all the way to advanced cloud technologies, so that you’ll be able to ace the certification exam! 2. BUILD: Project Portfolio This career path will guide you through a curated curriculum of courses, projects, and workshops, helping you build your portfolio. Work on exercises that will challenge you and make your portfolio and resume stand out. 3. CERTIFY: AWS Solutions Architect You’ll gain in-depth knowledge of the advanced AWS technologies needed to pass the Solutions Architect (SAA-C03) exam and acquire the skills you need to get hired in 2024. 4. GET HIRED: Interview Prep Prepare for your cloud architect interview with top questions and answers (+ bonus tips). Learn what it takes to become a Cloud Engineer & Architect from an actual industry expert. 🔗 Comment “CAREER” and I’ll send you links to resources. Remember 4 steps: 1. Learn 2. Build 3. Certify 4. Get Hired. Are you currently pursuing upskilling in the cloud? I’ll answer your questions in the comments! All the best in learning high-paying skills, @viktoria.semaan ♥ #cloudcomputing #aws #tech #techcareer #awscertification

From Google to 6 Figures 💻☁️ I didn’t wait for someone to hand me a roadmap. I opened Google, searched “cloud engineer jobs,” and copied the job description into a Google Doc. Then I asked ChatGPT: 👉 “What knowledge and experience do I need to land this?” 👉 “Teach me everything step by step.” No certifications, Just curiosity, execution, and the right questions. That’s how I went from clueless to cloud engineer. If I can do it, so can you. 🧠 Start where you are 📄 Copy a JD 💬 Ask the right questions 🚀 Build the skillset 💼 Land the role Comment “1%” and I’ll show you how to get started today. #CloudEngineer #CareerHack #NoDegreeRequired #TechJourney #ChatGPT #SelfTaughtEngineer #The1Percent

@cloudtechexec tell us about his journey becoming a cloud engineer. #computerscience #cloudengineer

From training a model to serving real users 🌐 This is how ML actually reaches production: APIs, Docker, Cloud, and scaling. If you’ve ever trained a model and wondered “now what?”, this is for you. #MachineLearning #MLDeployment #MLOps #DataScience #AIEngineering #CloudComputing #FastAPI