Courses, sample code, articles & screencasts - AWS, Azure, & GCP
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Updated
Dec 26, 2025 - Jupyter Notebook
Courses, sample code, articles & screencasts - AWS, Azure, & GCP
A source-grounded course and architectural reference for engineers designing systems that must survive real traffic, partial failure, security review, and changing requirements, spanning enterprise system design, distributed systems, AI systems, cybersecurity, reliability, cloud, HPC, edge, and mission-critical infrastructure.
Study notes, architecture diagrams, hands-on labs, and exam-focused summaries for the AWS Certified Solutions Architect – Associate (SAA-C03) certification.
Generate professional technical diagrams with AI - Azure architecture (800+ icons), ERDs, business flowcharts, timelines, wireframes. For proposals, documentation & architecture reviews.
Guia completo em PT-BR para a certificação AWS Solutions Architect Professional (SAP-C02), com resumos dos domínios, arquiteturas avançadas, cenários reais, mapas mentais e questões para revisão.
Terraform Reference Architecture for AWS, Datadog and GitHub Actions
Diagrams of popular software systems
AI-assisted solution-engineering framework that turns business and technical requirements into structured, reviewable architecture and implementation artifacts.
Cloud Resource Management System
Unofficial source-linked AWS best practices for every AWS service, organized by Well-Architected pillar for Claude Code, OpenAI Codex, and AI coding agents.
A comprehensive resource hub for learning serverless computing, featuring tutorials, projects, and examples using AWS Lambda, Azure Functions, and other cloud platforms. Includes hands-on exercises to build and deploy serverless applications with minimal infrastructure management.
Startup-Scale Langing Zone: Opinionated, deployable Azure Landing Zone for digital-native companies and startups.
AI-powered cloud architecture - describe infrastructure in natural language, get Terraform, cost estimates, and compliance reports
Zero-trust cloud architecture diagrams and modernization framework visuals for regulated cloud environments.
Cloud-native portfolio platform powering bjornmelin.io. Demonstrates AWS solutions architecture through microservices, serverless APIs, and infrastructure as code. Built with Next.js, AWS CDK, and modern DevOps practices.
Reusable draw.io libraries for clean, professional architecture diagrams.
A portable AI agent skill and architecture compiler for polished, editable, evidence-grounded Draw.io diagrams.
A Terraform-based GCP Landing Zone providing a secure, scalable foundation for cloud environments with modular structure and standardized governance.
SAFE-V: An end-to-end IoT & AI-driven vehicle safety platform built with Next.js 16, Spring Boot, FastAPI, and ESP32 hardware—featuring YOLOv8 passenger/seatbelt vision detection, Google Gemini AI emergency copilot, real-time GPS path tracking, and automated Docker CI/CD on GitHub Packages.
All labs for the Cloud Design Patterns Course with examples for Azure. The material is based on documentation available in the Azure Architecture Center
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