#Ami In Cloud Computing

Think of AMI as the 🔥 “master blueprint” of your EC2 instance. No AMI = No EC2 launch ❌ In this post you’ll learn: ✅ What is AMI ✅ AMI workflow ✅ EBS-backed vs Instance Store-backed ✅ Types of AMIs ✅ AMI lifecycle ✅ Real interview concepts Most people memorize AWS services… Real engineers understand how they work internally 💯 📘 Save this for AWS interviews 📤 Share with your DevOps friends 💬 Comment “AMI” if you want EC2 deep-dive notes 🚀 Follow @DevOpswithAmit for daily DevOps content #aws #ec2 #ami #awscloud #DevOps

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.

Most people think you need a Mac Mini to run an AI assistant like this, but You don’t. You can run the whole thing on a cloud server that never goes to sleep and you access it from your phone or laptop. Claude is the brain that understands your emails tasks and messages. Orgo gives it hands and eyes so it can open Gmail Calendar and Slack like a real person. Cloud Bot is just the always-on computer in the cloud that keeps everything running 24/7. That’s it... No Mac mini required unless you want everything running inside your own home or office. Would you trust an AI to handle your daily work or do you still want a human in the loop? 👇 Comment “TOOLS” and we’ll send you a free list of viral AI tools to try yourself. 🎥: ericw_ai on X Follow @wireofai for more AI content 📌

Become a Cloud AI Engineer with bhel. If you are a beginner, or already in cloud - once you know the ingredients : the mix will make sense. And if you don’t, here you go. 👇 Linux + Cloud Basics → Puffed Rice 🍚 Python + Bash → Masala 🧂 Infra Automation → Sev 🟡 Kubernetes → Onions 🧅 Security + IAM → Coriander 🌿 Observability → Lemon 🍋 AI Infra → Peanuts 🥜 AI Tooling → Chutney 🫙 FinOps → Salt 🧂 Projects → Mixing it well 🥣 Put it all together, and you get one solid Cloud AI Engineer. Comment “AI” to get the complete roadmap in your DMs! [cloud learning path, ai roadmap 2026, mlops basics, devops roadmap, kubernetes tutorial, linux for beginners, cloud certification prep, gpu computing guide, data pipelines learning, hands on projects, tech upskilling, beginner friendly resources, cloud tools, infra skills, engineer roadmap]

Answer 👇 Your company hires 50 engineers… Will you manually create 50 IAM users? ❌ That’s slow, error-prone, and not scalable. 🧠 What fails first: 👉 Manual IAM management • Inconsistent permissions • Human errors • No audit control ⚙️ How seniors actually do it: 1. 🤝 Use Identity Federation (SSO) Use AWS IAM Identity Center 👉 Engineers login via company identity (Google / AD) 👉 No need to create individual IAM users 2. 🎭 Use Roles, Not Users 👉 Assign IAM Roles instead of static users • Dev role • Admin role • Read-only role Users assume roles → get temporary credentials. 3. ⚙️ Automate with IaC Use tools like: • Terraform • AWS CloudFormation 👉 Define users/roles once → reuse everywhere 4. 🔐 Apply Least Privilege 👉 Give only required permissions 👉 Avoid “*” access 5. 📊 Enable Audit & Security • Enable CloudTrail logs • Enforce MFA • Rotate credentials 💣 Real Production Flow: • New engineer joins • Added to group (via SSO) • Role assigned automatically • Access ready in minutes 👉 “At scale, you don’t manage users… you manage access.” 👉 “I’d use IAM roles + SSO + IaC to automate and scale access management securely.” . . #fyp #cloud #interview #insta #instagood . . {Insta, Cloud, Fyp, Interview, System, Design, Aws, Ec2, IAM}

Highlights of the week in cloud and AI: ↳ 200K MCP servers exposed — serverless as the fix https://edjgeek.com/blog/mcp-serverless-security ↳ Defect rate will limit agentic AI, not peak performance http://brooker.co.za/blog/2026/04/30/be-right.html ↳ AI agent deleted an entire database in 9 seconds https://aws.plainenglish.io/nine-seconds-to-zero-when-an-ai-agent-decided-to-help-24013bc41dc0 ↳ Bedrock AgentCore — OBO token exchange + A/B testing https://aws.amazon.com/about-aws/whats-new/2026/04/amazon-bedrock-agentcore/ ↳ AWS Lambda adds Ruby 4.0 support https://aws.amazon.com/about-aws/whats-new/2026/04/aws-lambda-adds-ruby/ ↳ Malicious code found in PyTorch Lightning https://semgrep.dev/blog/2026/malicious-dependency-in-pytorch-lightning-used-for-ai-training/ ↳ Amazon OpenSearch per-index encryption with KMS keys https://aws.amazon.com/about-aws/whats-new/2026/04/amazon-opensearch-service-supports-index-level-encryption/ #aws #cloudcomputing #genai #serverless

Your Al projects can now run 24/7... even when your laptop is OFF. Meet Cloud Computer for Manus your always-on machine in the cloud. Now you can build Al workflows, automations, and projects that keep running continuously without needing your own device online. This is a huge step toward Al-powered automation. 🚀What it can do: ▪️Run projects 24/7 in the cloud ▪️No need to keep your laptop on ▪️Access from web & mobile ▪️Continuous Al workflows & automations ▪️Build and run from anywhere 💡Simple way to understand: Before → Your project stops when your laptop shuts down Now + It keeps running in the cloud automatically ⚠️ Reality Check: ▪️Cloud usage may have limits/pricing ▪️Still depends on internet/cloud infrastructure ▪️Not magic - setup still matters Follow @ai.tech_trends for more Al tools & updates #ai #automation #aiagents #tech #aiupdates

☁️ We’ve officially started a complete AWS Certified Cloud Practitioner (CLF-C02) learning series on YouTube — and Lecture 8 is now live! 🚀 In this lecture, I’ve explained: 🔐 AWS IAM Identities 👤 IAM User creation in AWS Console 🛡️ MFA setup for better account security This series is designed especially for beginners, students, and anyone starting their cloud journey. 🎥 Full lecture available on YouTube 📘 Lecture 8 – AWS IAM Identities Explained | Create IAM User & Enable MFA #AWS #AWSCloudPractitioner #CloudComputing #AWSCertification #IAM

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 = renting computers on the internet. No need to buy big servers upfront. Companies just use the computing power they need, when they need it. Simple concept. Massive impact. Follow for more tech explained simply. #cloudcomputing #techtok #softwareengineering #computerscience #learnontiktok

Trying to find one AI that does everything is like using a Swiss Army knife to build a house. Here’s my actual stack: Claude Opus 4.5 for writing and kicking off agent tasks, Claude Code as my daily doer, Gemini and NotebookLM for longer context work, Nano Banana Pro for images, Veo 3/Sora for video, Whisper/WisprFlow for voice, and Claude Skills for any task you’re about to do more than once. Match the tool to the task. Save this list and start experimenting. ↓ ↓ ↓ 🛠️ I built a 5-Day Email Course to help you learn to build with AI using real tools and real automations with no coding required. Follow and comment FASTTRACK and I’ll send it to you for free.

AMD takes on NVIDIA with the Instinct MI400 In the race for AI dominance, one name is preparing to shake the battlefield — AMD Instinct MI400. Built for extreme compute speed and massive HBM3e memory, it’s engineered to power the next wave of generative AI and exascale computing. Designed not just as a chip, but as a rack-scale weapon, MI400 aims to challenge NVIDIA’s Blackwell head-on. From training the largest language models to running hyperscale AI workloads, this isn’t just hardware — it’s AMD’s bold statement that the future of AI won’t be won quietly. With MI400 arriving in 2026, the game changes. There are more videos like this on the page. Join us✨ Feel free to share it in your story to show your passion for technology! But if you post it as a reel, please tag 'codcoders' and mention us in the caption 🙌 #AMD #GPUs #AI #tech #fyp #fypシ