#Back End Development

Here are some popular playlist for becoming a back-end developer: Backend Fundamentals (Node.js & Express) • freeCodeCamp – Node.js & Express Full Course • Traversy Media – Node.js Crash Course Databases (SQL & NoSQL) • Bro Code – MongoDB Full Course • Fireship – SQL vs NoSQL Explained APIs & API Communication • Apna College – What is an API? • Fireship – REST API Explained • Thapa Technical – Build REST APIs with Node Authentication & Authorization • Sheryians Coding School -Authentication & Authorization • Hitesh Choudhary – Auth & Security Basics • Web Dev Simplified – Authentication in Node.js System Design (Backend focused) • ByteByteGo – Scalable Backend Concepts • Ashish Pratap Singh – Backend System Design Deployment, DevOps & Production • freeCodeCamp – Docker for Developers • Traversy Media – Deploy Node.js Apps • Fireship – Deploy Node.js Apps Backend isn’t hard … it’s unclear without structure. Follow the right order, and everything starts to click. 👉 Save this if you’re serious about backend 💬 Comment “LINK” and I’ll share all the resources . . . . #webdevelopment #backenddevelopment #fullstackdeveloper #programmer #coding

‼️Why McKenzie Extension exercises in the lowback are often good for similar low back injuries. • 👍 Centralize the pain and continue the rehab. • Credit: @dynamicdiscdesigns_3dmodels

Comment “Java” to get the link 🔗 #Java #JavaBackend #BackendDevelopment #JavaDeveloper #BackendEngineer CodingInterview TechInterview SoftwareEngineer Programming Developers DSA SystemDesign JavaInterview CodingTips TechCareers DeveloperLife LearnToCode CodingJourney InterviewPreparation TechCommunityJava backend interview questions, Java developer interview prep, backend development concepts, Java system design basics, Java coding interview tips, software engineering interview preparation, important Java backend topics, Java developer roadmap.

Follow @cloud_x_berry for more info #HTTPMethods #RESTAPI #BackendDevelopment #WebDevelopment #APIDesign HTTP methods, RESTful APIs, GET request, POST request, PUT request, PATCH request, DELETE request, client server architecture, API endpoints, CRUD operations, status codes 200 201 204, resource creation, data retrieval, resource update, partial update, resource deletion, request response cycle, stateless protocol, web services, backend fundamentals

🚨 80% of system design interviews come from just 20% of problems. If you’re not preparing these, you’re gambling your interview. These 34 real-world system design case studies cover exactly what interviewers expect. You’ll master fundamentals, think in scale, and answer with confidence — not confusion. This is the same prep used for FAANG, MAANG & top startups. Bookmark once. Revisit before every interview. 👉 Save this, share it with your interview buddy, and comment “SystemDesign” if you want a focused roadmap from this list. Keywords: system design interview, backend interviews, FAANG prep, scalability, distributed systems #systemdesign #techinterviews #backenddevelopment #faangprep #softwareengineering

Comment DATABASE and I’ll send you the full list. If databases and APIs feel confusing, it’s usually because people try to learn everything at once instead of understanding how the pieces connect. The way I’d relearn it is simple: start with how databases actually store data, practice writing real SQL queries, then build a backend API so it all makes sense in a real project. In this video I share the exact resources I’d use to learn SQL, databases, HTTP requests, and API development from scratch in about a week. Whether you’re learning backend development, preparing for software engineering interviews, or just trying to understand how apps talk to databases, these resources are a great place to start.

Comment "backend" and Save this reel. It gets asked more often than you think. . . . . authentication vs authorization, backend development, system design basics, web security concepts, interview preparation, software engineering fundamentals, backend interviews, computer science basics . . . #Authentication #Authorization #BackendDevelopment #SystemDesign #WebSecurity #TechInterviews #PlacementPrep

I work on a model evaluation and benchmarking team. Amazon has its own models, like Nova, but there are also hundreds of new models and AI agents being developed internally every day. (I feel like recently the speed of new model/agents is going crazy 🤯) My team runs a service that benchmarks these models, basically evaluating how well they perform, and generates reports that help teams understand their performance and cost. We also benchmark external models like Claude, ChatGPT, Gemini, Qwen, and DeepSeek, and compare them with our internal models and agents. My main tech stack is Python, Java, and React/JavaScript. I work as a full-stack engineer, although about 85% of my work is focused on backend development. One thing I really like about my team is that we’re always at the frontier of new AI models across the industry, including companies like OpenAI, Anthropic, Google, and others. Because of that, we constantly have to stay up to date — reading research papers, learning about new models, evaluation metrics, and emerging techniques. I really enjoy being in a space where the technology is evolving so quickly and where we’re always working with the latest advancements 🫶🏻✨💻 . 저는 모델 평가 및 벤치마킹 팀에서 일하고 있어요. Amazon에는 Nova 같은 자체 모델도 있지만, 그 외에도 내부에서 매일 수백 개의 새로운 모델과 AI 에이전트가 개발되고 있답니다 (새로운 에이전트와 모델 개발 속도가 체감상 두배는 빨라진 거 같아요 🤯) 저희 팀은 이러한 모델들을 벤치마킹하는 서비스를 운영하고 있어요. 쉽게 말해 모델의 성능을 평가하고, 각 팀이 모델의 성능과 비용 리포트를 만듭니다. 제가 사용하는 주요 스택은 Python, Java, 그리고 React/JavaScript입니다. 저는 풀스택 엔지니어로 일하고 있지만, 실제 업무의 약 85%는 백엔드 개발이긴 해요 ㅎㅎ 제가 제 팀에서 특히 좋아하는 점 중 하나는 업계 전반의 새로운 AI 모델들을 가장 앞에서 접할 수 있다는 점입니다. OpenAI, Anthropic, Google 같은 회사들의 모델도 저희 팀에서 모두 다루니까요 ㅎㅎ 그래서 항상 누구보다 빠르게 새로운 기술들과 에이전팅을 배우고 써봐야해요. 새로운 모델이나 평가 지표, 기술들을 이해하기 위해 논문도 읽고 계속 공부해야 안 뒤쳐지는 거 같아요:) 그래서인지 더 재밌답니다! #aiengineer #softwareengineer #aiengineering #engineerlife #dayinthelife

Backend API Deep Dive: Flask + GitHub Repo Walkthrough Explore a real backend project from scratch! Learn how to set up a REST API using Flask, explore endpoints, manage databases, and test with Swagger — all while walking through my GitHub repo. Perfect for Python and backend enthusiasts.#Flask #Python #RESTAPI #BackendDevelopment #WebDevelopment #APIDesign #GitHub #SwaggerUI #PythonProgramming #LearnToCode #CodingTutorial #TechTutorial #SoftwareEngineering #FullStackDev #ProgrammingTips #DevLife #CodeNewbie #TechFairy #TechMagic #PythonDeveloper #APITesting #VirtualEnvironment #DatabaseDesign #CI_CD #FlaskTutorial #BuildFromScratch #ProgrammingLife #CodeWalkthrough #TechEnthusiast

AI can write the code… but the real struggle starts with the backend. Database, authentication, APIs, storage — developers ka **half time isi setup me chala jata hai. InsForge isi problem ko solve karta hai. A backend platform built for AI coding agents so AI can actually manage the backend too. Meaning: AI + developer = faster full-stack apps. Save this if you’re learning AI development. #AIDevelopment #BackendDevelopment #DevTools #BuildInPublic #programminglife

Not coincidence — it’s backend systems and ad pipelines at work 1️⃣ Collects Your Actions (Event Streaming) • Tracks searches, clicks, views, likes — even off-platform activity. • Example: You search “Goa flights” → event is collected instantly. • Tech: Kafka / RabbitMQ to stream events in real time. ⸻ 2️⃣ Stores User Profiles (Distributed Database) • Builds and updates your interest profile at scale. • Example: interest = travel, flights, Goa. • Tech: Distributed databases for fast reads & writes. ⸻ 3️⃣ Predicts Interests (Machine Learning) • Models predict what ads you’re likely to engage with. • Example: Travel searches → hotel & flight ads. • Tech: ML pipelines running continuously. ⸻ 4️⃣ Chooses the Best Ad (Ad Ranking) • Advertisers compete; most relevant ad wins instantly. • Example: Hotel app beats airline based on relevance + bid. • Tech: Real-time auctions, low-latency ad servers. ⸻ 5️⃣ Learns From Your Behavior (Feedback Loop) • Clicks, skips, time spent improve future predictions. • Example: Skip flights → see hotel deals next time. • Tech: Continuous model retraining. ⸻ 6️⃣ Scales for Billions (System Design) • Handles millions of users without slowing down. • Example: Peak searches, ads still load instantly. • Tech: Horizontal scaling, caching, load balancers. #systemdesign #backenddevelopment #backenddeveloper #techreels #developer (system design, backend engineering, ad systems, event streaming, Kafka, data pipelines, recommendation systems, scalable systems, software architecture)

In this part, we are understanding how the internet actually works behind the scenes. Before writing APIs, you should know: • What happens when you type a URL • How DNS finds the server • How HTTP/HTTPS sends requests • Client vs Server communication • Complete request–response flow This is the foundation of backend development. If you understand this, backend will start making sense. Follow for the backend series 💻 #java #backenddeveloper #systemdesign #tech #instagramreel