Davis Miler

Pokeflip is a Pokemon-themed memory matching game built with Vue 3 and Tailwind CSS. Live demo: poke-flip-pi.vercel.app

📂 AI + CLOUD MASTER TREE │ ├── ☁️ 1. Cloud Fundamentals │ ├── What is Cloud Computing │ ├── IaaS vs PaaS vs SaaS │ ├── Public / Private / Hybrid Cloud │ ├── Regions & Availability Zones │ └── Pay-as-you-go Pricing │ ├── 🏗️ 2. Cloud Providers │ ├── AWS │ ├── Azure │ ├── Google Cloud │ ├── DigitalOcean │ └── Cloudflare │ ├── 🖥️ 3. Compute Services │ ├── Virtual Machines (EC2) │ ├── Serverless (Lambda, Functions) │ ├── Containers (Docker) │ ├── Kubernetes (EKS, GKE) │ └── Auto Scaling │ ├── 💾 4. Storage Services │ ├── Object Storage (S3, GCS) │ ├── Block Storage │ ├── File Storage │ ├── CDN Integration │ └── Backup & Recovery │ ├── 🗄️ 5. Databases in Cloud │ ├── Managed SQL (RDS, Cloud SQL) │ ├── NoSQL (DynamoDB, Firestore) │ ├── Data Warehouses (BigQuery, Redshift) │ ├── Caching (Redis, Memcached) │ └── Distributed Databases │ ├── 🤖 6. AI Fundamentals │ ├── Machine Learning Basics │ ├── Deep Learning │ ├── NLP │ ├── Computer Vision │ └── Generative AI │ ├── 🧠 7. AI Models & APIs │ ├── OpenAI API │ ├── Gemini API │ ├── Anthropic (Claude) │ ├── HuggingFace │ └── Replicate │ ├── 🔗 8. AI + Cloud Integration │ ├── Model Deployment (API-based) │ ├── Serverless AI Apps │ ├── Real-time AI Pipelines │ ├── Batch Processing │ └── Edge AI │ ├── 📊 9. Data Pipelines │ ├── ETL / ELT │ ├── Data Lakes │ ├── Streaming (Kafka, Pub/Sub) │ ├── Data Cleaning │ └── Feature Engineering │ ├── ⚙️ 10. MLOps │ ├── Model Training │ ├── Model Versioning │ ├── CI/CD for ML │ ├── Monitoring Models │ └── Retraining Pipelines │ ├── 🔐 11. Security │ ├── IAM (Identity Access Management) │ ├── API Security │ ├── Encryption (at rest & in transit) │ ├── Secrets Management │ └── Compliance (GDPR, SOC2) │ ├── 📈 12. Monitoring & Logging │ ├── CloudWatch │ ├── Stackdriver │ ├── Prometheus │ ├── Grafana │ └── Alerting Systems │ ├── 🚀 13. Deployment Strategies │ ├── CI/CD Pipelines │ ├── Blue-Green Deployment │ ├── Canary Releases │ ├── Rolling Updates │ └── Infrastructure as Code (Terraform) │ ├── 💡 14. Cost Optimization │ ├── Reserved Instances │ ├── Spot Instances │ ├── Auto Scaling Optimization │ ├── Resource Monitoring │ └── Cost Alerts │ ├── 🌍 15. Real-World Use Cases │ ├── AI Chatbots (ChatGPT-like) │ ├── Recommendation Systems │ ├── Fraud Detection │ ├── Image Generation Apps │ └── Voice Assistants │ └── 🎯 16. Future Trends ├── AI Agents ├── Multi-modal AI ├── Edge Computing ├── Autonomous Systems └── AI-native SaaS

REST API Fundamentals. Core Constraints, Principles, and Practices.

Designing robust microservices requires choosing the right patterns for performance, resilience, and scalability. Here are 9 essential patterns every architect should know. 1. Database Per Service Pattern Each microservice manages its own database, ensuring loose coupling and full data ownership. 2. Event Sourcing Pattern Stores every change as an event rather than the latest state. Great for audit logs and debugging. 3. API Gateway Pattern Acts as a single access point that routes requests to microservices, handling concerns like auth and rate limiting. 4. Saga Pattern Coordinates distributed transactions using a series of steps and compensating actions to handle failures. 5. BFF (Backend for Frontend) Pattern Creates different backends for web and mobile, improving performance and customizing data handling per client. [Learn more in the graphic below] 💡 Which microservices pattern have you used in your projects? 🔁 Save this as a handy guide for interviews and architecture discussions!

be honest , which is your default browser ?

@0xzkleo That's great. Thank you for your hard work. It seems like good material.

@OnChainMee Good article. Thanks for your work.

If you want to become a great backend dev, you should build lots of projects. And there are 3 for you in this course: a blog generator, a Netflix clone, & a Spotify clone. You'll sharpen your backend skills using tools like Python, Django, & PostgreSQL. freecodecamp.org/news/backend-w…

If you want to become a great backend dev, you should build lots of projects. And there are 3 for you in this course: a blog generator, a Netflix clone, & a Spotify clone. You'll sharpen your backend skills using tools like Python, Django, & PostgreSQL. freecodecamp.org/news/backend-w…

Finally, I'm done with the basics of backend engineering on the all-in-one resources to learn backend engineering I'm working on This basic section includes - Internet - HTTP - Servers - Web Dev fundamentals - Fundamentals of Operating Systems - A server-side language -> JavaScript | Go | Rust | Node - A framework -> Express | Nestjs | Django | Laravel | Spring Boot This is the boring part. Don't worry. We are getting into the fun part soon. Still working on it, updating it, Adding more, and making it better for you. Follow me. Retweet. Comment "Backend." I will DM you the PDF version when it's out. Enjoy the web version, and send in your feedback on how we can improve it for everyone. masteringbackend.com/hubs/backend-e…

The uv build backend is now stable, and considered ready for production use. An alternative to setuptools, hatchling, etc. for pure Python projects, with a focus on good defaults, user-friendly error messages, and performance. When used with uv, it's 10-35x faster.

Finally, I'm done with the basics of backend engineering on the all-in-one resources to learn backend engineering I'm working on This basic section includes - Internet - HTTP - Servers - Web Dev fundamentals - Fundamentals of Operating Systems - A server-side language (JavaScript) - A framework (Express) - Git and GitHub This is the boring part, right? Don't worry. We are getting into the fun part soon. I will give this some rounds of editing and upload it soon. Follow me. Retweet. Comment "Backend". I will DM you.

🚨 NEW: An open-source Python backtesting framework that runs backtests in 3 lines of Python code. Here's the details: 🧵

Full Backend development roadmap for you!

Backend Development #python #java #csharp #mysql #github #json #aws #azure

Backend Developer Roadmap #javascript #js #python #java #ruby #csharp #programming #developer

Python Backend Development is One of the Highly In Demand and Top Paying Jobs in Tech. Here's a complete roadmap to be a excellent Python Backend Developer (with youtube videos): A Thread 🧵

Do you want to be a python backend web developer? I just released a FULL 10+ HOURS COURSE on YouTube It teaches you everything you need to get started with web development with python I hope you enjoy it. I would appreciate it if you retweet. Thank you youtu.be/S44qx6DoIv4

Backend Development Roadmap PHASE 1: PROGRAMMING FUNDAMENTALS ├── Core Programming │ ├── Data structures (arrays, lists, maps/sets) │ ├── Algorithms (searching, sorting, complexity) │ ├── Object-oriented programming │ └── Functional programming concepts ├── Language Proficiency │ ├── Choose primary language: │ │ ├── Java/Spring Boot │ │ ├── Python/Django/FastAPI │ │ ├── JavaScript/Node.js/TypeScript │ │ ├── Go/Golang │ │ └── C#/.NET Core │ └── Language-specific patterns & best practices ├── Development Tools │ ├── Git & GitHub/GitLab │ ├── IDE (VS Code, IntelliJ, PyCharm) │ ├── Package managers (npm, pip, Maven) │ └── Basic command line usage PHASE 2: WEB FUNDAMENTALS ├── HTTP Protocol │ ├── Request/Response cycle │ ├── Methods (GET, POST, PUT, DELETE) │ ├── Status codes (200, 201, 400, 404, 500) │ ├── Headers and cookies │ └── RESTful principles ├── APIs │ ├── REST API design │ ├── JSON/XML handling │ ├── API documentation (OpenAPI/Swagger) │ ├── API versioning strategies │ └── Rate limiting and throttling ├── Authentication & Authorization │ ├── Sessions vs tokens │ ├── JWT (JSON Web Tokens) │ ├── OAuth 2.0 / OpenID Connect │ └── Role-based access control (RBAC) PHASE 3: DATABASES ├── SQL Databases │ ├── PostgreSQL / MySQL │ ├── Database design & normalization │ ├── Indexes and query optimization │ ├── ACID properties │ └── ORMs (Hibernate, SQLAlchemy, Prisma) ├── NoSQL Databases │ ├── Document DBs (MongoDB) │ ├── Key-Value stores (Redis) │ ├── Wide-column stores (Cassandra) │ └── Graph databases (Neo4j) - optional ├── Database Advanced │ ├── Transactions and locking │ ├── Connection pooling │ ├── Database migrations │ └── Read replicas and sharding PHASE 4: BACKEND FRAMEWORKS ├── Framework Mastery (Choose one primary) │ ├── Spring Boot (Java) │ │ ├── Dependency injection │ │ ├── Spring Data JPA │ │ ├── Spring Security │ │ └── Spring Cloud (microservices) │ ├── Django/FastAPI (Python) │ │ ├── Django ORM/DRF │ │ ├── FastAPI async │ │ ├── Pydantic models │ │ └── Celery for tasks │ ├── Express/Nest.js (Node.js) │ │ ├── Middleware patterns │ │ ├── Dependency injection │ │ ├── Nest.js modules │ │ └── TypeORM/Prisma │ └── .NET Core (C#) │ ├── Entity Framework │ ├── ASP.NET Core MVC/Web API │ └── Dependency injection ├── Advanced Concepts │ ├── Dependency injection │ ├── Middleware/interceptors │ ├── Validation and serialization │ └── Background jobs/queues PHASE 5: SYSTEM DESIGN ├── Design Principles │ ├── SOLID principles │ ├── Design patterns (Factory, Singleton, Observer) │ ├── Microservices vs Monolith │ └── Domain-Driven Design (DDD) basics ├── Scalability Patterns │ ├── Load balancing │ ├── Caching strategies (Redis, Memcached) │ ├── CDN integration │ └── Database scaling (read replicas, sharding) ├── Communication Patterns │ ├── Synchronous (REST, gRPC) │ ├── Asynchronous (message queues) │ ├── Event-driven architecture │ └── WebSockets for real-time PHASE 6: DEVOPS & DEPLOYMENT ├── Containerization │ ├── Docker fundamentals │ ├── Docker Compose for local dev │ ├── Dockerfile optimization │ └── Multi-stage builds ├── Cloud Platforms (Choose one) │ ├── AWS (EC2, RDS, S3, Lambda, ECS/EKS) │ ├── Azure (App Service, SQL Database, Functions, AKS) │ ├── Google Cloud (Compute Engine, Cloud SQL, GKE) │ └── Serverless concepts ├── CI/CD Pipeline │ ├── GitHub Actions / GitLab CI / Jenkins │ ├── Automated testing in pipeline │ ├── Deployment strategies (blue-green, canary) │ └── Infrastructure as Code (Terraform, CloudFormation) PHASE 7: MICROSERVICES & DISTRIBUTED SYSTEMS ├── Microservices Architecture │ ├── Service decomposition │ ├── Inter-service communication │ ├── API Gateway pattern │ └── Service discovery ├── Message Brokers │ ├── RabbitMQ / Apache Kafka │ ├── Pub/Sub patterns │ ├── Event sourcing │ └── Message ordering and delivery guarantees ├── Resilience & Observability │ ├── Circuit breakers (Hystrix, Resilience4j) │ ├── Distributed tracing (Jaeger, Zipkin) │ ├── Centralized logging (ELK stack) │ └── Metrics collection (Prometheus, Grafana) PHASE 8: ADVANCED TOPICS ├── Performance Optimization │ ├── Profiling tools │ ├── Database query optimization │ ├── Connection pooling │ └── Garbage collection tuning (language-specific) ├── Security │ ├── OWASP Top 10 │ ├── Input validation and sanitization │ ├── SQL injection prevention │ ├── Encryption (SSL/TLS, data at rest) │ └── Security headers ├── Testing Strategies │ ├── Unit testing (JUnit, pytest, Jest) │ ├── Integration testing │ ├── End-to-end testing │ ├── Test doubles (mocks, stubs) │ └── Test-driven development (TDD) PHASE 9: SPECIALIZED DOMAINS (CHOOSE 1-2) ├── Real-time Systems │ ├── WebSocket implementation │ ├── Socket.io (Node.js) │ ├── SignalR (.NET) │ └── Real-time database (Firebase) ├── Search & Analytics │ ├── Elasticsearch / OpenSearch │ ├── Full-text search implementation │ ├── Log aggregation │ └── Analytics pipelines ├── Machine Learning Integration │ ├── Model serving (TensorFlow Serving, TorchServe) │ ├── Feature stores │ └── ML pipelines ├── FinTech / High-Frequency Systems │ ├── Low-latency optimization │ ├── Financial data processing │ └── High-volume transaction systems LEARNING RESOURCES ├── Documentation │ ├── Official framework docs │ ├── MDN Web Docs │ └── Cloud provider documentation ├── Practice Platforms │ ├── LeetCode (algorithms) │ ├── HackerRank │ ├── System design practice (leetcode.com/discuss) │ └── Build your own projects ├── Books │ ├── Grab The Backend Engineering Handbook:codewithdhanian.gumroad.com/l/ungqng PROJECTS TO BUILD 1. REST API with CRUD operations (Blog API, Todo API) 2. E-commerce backend (products, cart, orders, payments) 3. Real-time chat application 4. Microservices-based system (3-4 services) 5. Social media backend with feeds, notifications, messaging 6. Analytics pipeline with data processing CAREER PATHS ├── Junior Backend Developer (0-2 years) │ ├── Focus: Framework proficiency, basic DB skills ├── Mid-Level Backend Developer (2-5 years) │ ├── Focus: System design, distributed systems basics ├── Senior Backend Developer (5+ years) │ ├── Focus: Architecture decisions, mentoring, cross-team collaboration ├── Specialization Paths │ ├── Cloud/DevOps Engineer │ ├── Data Engineer │ ├── Platform Engineer │ └── Security Engineer Estimated Time: 1-2 years for solid foundation, 3-5 years for senior level Key Principle: Build, deploy, monitor, iterate. Real-world projects > tutorials. Grab The Backend Engineering Handbook:codewithdhanian.gumroad.com/l/ungqng Progression Strategy: 1. Months 1-3: Language + Framework + Basic API 2. Months 4-6: Database + Authentication + Testing 3. Months 7-12: Docker + Cloud + Basic System Design 4. Year 2: Microservices + Advanced Topics 5. Year 3+: Specialization + Architecture Backend Mindset: Always consider scalability, security, and maintainability from day one. Every line of code should answer "what happens when this gets 1000x more traffic/users/data?" Get The Backend Engineering Handbook now and begin your journey : codewithdhanian.gumroad.com/l/ungqng

Is it enough to become a full stack developer in 2026😕??