#deployease #aws #ec2 #deployease #deployease #aws #ec2 #devops #automation #ai #cloudcomputing #fullstack #softwareengineering #alikhan #uetm | Ali Khan

Today, I’m excited to share the full presentation + live preview video of #DeployEase, my AI-powered, One-Click AWS EC2 deployment platform. Developers know the real challenge on #AWS doesn’t start when you create an #EC2 instance it starts after like configuring runtime, moving code, setting environment variables, reverse proxy setup, storage handling, scaling… All time-consuming. All repetitive. All error-prone. #DeployEase takes away all that pain. 𝘀𝗲𝗹𝗲𝗰𝘁 𝘆𝗼𝘂𝗿 𝗿𝗲𝗽𝗼 -> 𝗰𝗵𝗼𝗼𝘀𝗲 𝗿𝘂𝗻𝘁𝗶𝗺𝗲 -> 𝗵𝗶𝘁 𝗗𝗲𝗽𝗹𝗼𝘆 -> 𝘄𝗮𝘁𝗰𝗵 𝗹𝗼𝗴𝘀 -> 𝗴𝗲𝘁 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗨𝗥𝗟. No manual DevOps knowledge required. 🎥 What’s inside this video? 🔹 Slide overview: – What AWS deployment normally looks like – How DeployEase fully automates the workflow – High-level system flow & features 🔹 Live Deployment Demo: – Deploying a real React app on AWS in minutes – Viewing live logs – Getting instant production URL 🔹 Auto-Scaling Demo: – Choose min/max instances – DeployEase automatically handles ASG, load balancer, launch templates 🔹 Storage Management: – Increase disk with a click no manual SSH needed 🔹 Live Terminal: – A full in-browser Linux terminal for real-time debugging 🔹 AI Assistant (Most Powerful Feature): – Deploy apps using natural language – “Deploy my repo” ->AI handles repo selection, build, runtime config, logs, and deployment – AI communicates with DeployEase through MCP for real actions 🔹 Performance & Reliability: – Redis caching – BullMQ background job queues – Clustering for multi-core performance 🔹 What’s coming next? – Auto-commit & auto-pull – More automation – Smarter DevOps suggestions – Enhanced AI workflows Watch the full video and share your feedback your suggestions mean a lot! #DeployEase #AWS #EC2 #DevOps #Automation #AI #CloudComputing #FullStack #SoftwareEngineering #AliKhan #UETM

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