Gigaversity.in • 4m
How We Reduced Docker Image Size by 70% Using AI-Powered Tree Shaking The Problem: Our Next.js + FastAPI Docker images ballooned to 1.2GB, severely impacting CI/CD pipelines. Traditional fixes—like multi-stage builds and the Alpine base image—only scratched the surface The Breakthrough Solution: 1️⃣ Trained a Custom CNN Model: Analyzed dependency trees to predict which layers/files were redundant. 2️⃣ Integrated Google’s SlimToolkit: Automated AI-guided layer pruning without breaking runtime dependencies. 3️⃣ Static Analysis + Runtime Validation: Ensured pruned images retained critical binaries (e.g., OpenSSL). Result: Images shrank to 400MB (70% reduction) with zero runtime errors. Why This Is a Game-Changer: Beyond Manual Optimization: Unlike typical "use Alpine" advice, AI identified hidden bloat (e.g., unused locale files, dev dependencies). Precision Over Guesswork: Manual reviews miss subtle dependencies; our CNN model flagged low-usage packages with 98% accuracy. Scalable for Microservices: Applied across 50+ services, saving 400 GB+ in registry storage and slashing deployment times. Key Takeaway: AI-driven static analysis isn’t just hype—it’s the future of DevOps. By automating optimization, we achieved results 2-3x better than manual methods, with safer, reproducible outcomes. 💡 Think your Docker images are lean? What’s the smallest you’ve achieved, and how? Let’s Discuss this below! 👇 #Gigaversity #Codesimulations #FullStackDevelopment #DevOps #Docker #FastAPI #Nextjs #BackendDevelopment #AIinTech #AIDevOps #MachineLearning #CloudComputing #SoftwareEngineering #AITools #Microservices #CICD #DeveloperLife #CodingCommunity #PythonDevelopers #JavaScript #BuildInPublic
Cloud Devops Enginee... • 2m
Weekly DevOps Learning Recap This week has been super productive! Here's what I learned and practiced: Writing Dockerfiles from scratch for Node.js applications Creating and managing docker-compose.yml files Deploying databases like MongoDB and
See MoreCloud Devops Enginee... • 3m
This Week's Learning Journey - Cloud, DevOps, Node.js & Docker. This week has been packed with hands-on learning and growth. Cloud & DevOps Gained a solid understanding of AWS services like EC2, S3, and CloudFront. Deployed my first application on
See MoreHey I am on Medial • 11m
🚀 Optimizing Docker builds goes beyond just speed; it’s a game-changer for reducing deployment costs, enhancing security, and ensuring consistency! 🛠️ Every layer and dependency counts—large images can slow down deployments and inflate costs. Don't
See MoreHelp you to build yo... • 9m
As a backend engineer. You should learn: - System Design (scalability, microservices) -APIs (REST, GraphQL, gRPC) -Database Systems (SQL, NoSQL) -Distributed Systems (consistency, replication) -Caching (Redis, Memcached) -Security (OAuth2, JWT
See MoreDevOps Engineer @Dre... • 9m
I am now accepting freelance projects in DevOps and Generative AI domains. With hands-on experience in cutting-edge technologies, here's what I bring to the table: DevOps Expertise Proficient in Docker and Kubernetes for containerization and orches
See MoreFull Stack Web Devel... • 3d
Technical debt—extra rework from quick fixes—accrues interest and blocks innovation; nearly 60% of IT leaders cite it as a major barrier. Architectural observability tools like SonarQube and vFunction help teams identify, quantify and reduce debt: So
See MoreCloud | DevOps | AI • 2m
Just launched 🚀 LabStack, a personal project I built to let developers spin up fully isolated, cloud-based dev environments right from the browser — in under 30 seconds ⚡ It’s powered by Docker 🐳 containers running on on-demand EC2 instances, orch
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