#Rad Software Development Methodology Explained

Want my full toolkit? ➡️💬 Comment “LINK” and I will share all the other websites that I use when I am doing DSA! Kindly FOLLOW the account and then comment LINK as instagram does not allow sending DMs to non-followers. DSA doesn’t have to be boring text on a screen. 🙅‍♂️💻 If you are struggling to understand trees, graphs, or sorting algorithms, you need to see them in action. Visual learning > Rote memorization. Follow @techninjaah to level up your dev journey! ✅

1 Million RPS isn't about code, it's about architecture. Here are the 8 key layers to scale your API architecture. Unlock 200+ practical problem-solutions just like this one in the Ebook. Link in bio 1️⃣ Load Balancer 👉 Distributes traffic across multiple servers so no single machine melts. Example: 1M req/s split across 200 servers = only 5k req/s each. ⸻ 2️⃣ Horizontal Scaling 👉 Add more servers when traffic spikes instead of upgrading one big server. Example: Black Friday? Spin up 50 more API nodes in seconds. ⸻ 3️⃣ Caching Layer 👉 Serve frequent reads from Redis/Memcached to avoid DB overload. Example: User profile cached → avoids 10M database hits/day. ⸻ 4️⃣ CDN for Static Content 👉 Images and static assets load from edge servers near the user. Example: A user in Delhi gets images from a Delhi CDN node. ⸻ 5️⃣ Async Processing (Queues) 👉 Push heavy tasks to Kafka/SQS so API responds instantly. Example: Payment API returns fast → receipt email sent in background. ⸻ 6️⃣ Database Sharding 👉 Split huge datasets across multiple DB shards to scale reads/writes. Example: Users A–M on shard 1, N–Z on shard 2. ⸻ 7️⃣ Rate Limiting 👉 Block or throttle abusive clients to protect server capacity. Example: “100 requests/sec limit” prevents bots from killing the API. ⸻ 8️⃣ Lightweight Payloads 👉 Reduce JSON response size to cut latency and bandwidth. Example: Return only “id, name, price” instead of 20 unnecessary fields. #systemdesign #apidesign #scaling #1millionrps #distributedsystems #loadbalancing #caching #microservices #softwaredeveloper #programming #coding #devops #tech #backenddeveloper #backenddevelopment #api #interviews #database #learninganddevelopment #tech [API Design] [System Architecture] [API Scaling] [1 Million RPS] [Distributed Systems] [Load Balancing] [Database Sharding] [High Availability]

On Google search 👇🏼 System Design Roadmap takeUforward Thank you @gkcs__ for helping us to cover this! #engineering #softwareengineer #coding #programming #systemdesign #hld #lld #interviews #trending #coding #programming #faang #google #amazon #microsoft #striver #engineer #placements

Handling 1 Million RPS isn’t about code — it’s about smart architecture. 1️⃣ Traffic Distribution (Load Balancers) ➡️ Spreads incoming requests across many servers so nothing overloads. Example: 1M requests split across 200 servers = ~5K requests per server. ⸻ 2️⃣ Scale Out, Not Up (Horizontal Scaling) ➡️ Add more machines instead of making one server bigger. Example: Flash sale traffic? Instantly launch 50 new API instances. ⸻ 3️⃣ Fast Reads with Cache ➡️ Use Redis/Memcached to avoid hitting the database every time. Example: Cached user data = millions of DB calls saved daily. ⸻ 4️⃣ Edge Delivery with CDN ➡️ Static content loads from servers closest to the user. Example: Users in Delhi fetch images from a Delhi CDN node. ⸻ 5️⃣ Background Work with Queues ➡️ Heavy tasks run asynchronously so APIs respond instantly. Example: Payment succeeds now, email receipt sent in background. ⸻ 6️⃣ Split the Database (Sharding) ➡️ Divide data across multiple databases to handle scale. Example: Usernames A–M on one shard, N–Z on another. ⸻ 7️⃣ Rate Limiting ➡️ Prevent abuse and traffic spikes from taking the system down. Example: Limit clients to 100 requests/sec to block bots from killing the API. ⸻ 8️⃣ Lightweights Payloads ➡️ Smaller payloads = faster responses + less bandwidth. Example: Send only required fields instead of massive JSON blobs. Please follow for more such videos🙏 #systemdesign #softwaredevelopers #programming #tech #interview [API Design] [System Architecture] [API Scaling] [1 Million RPS] [Distributed Systems] [Load Balancing] [Database Sharding] [High Availability]

Software Development Life Cycle • • • #sdlc #javafullstackdevelopment #fanpageisabellacastillo #softwaredevelopmentlifecycle #followforlikesback #grabopportunities #webtechnology #mockinterview #vikkirpm #isabellacastillo #aptitudetest #javacard #grachi #manualtesting #automationtesting #istqbcertification #defenderpickup #defender #softwaretesting #offroad4x4 #esdlc6 #kcamexico #vasaivirar #automobile #1000thpost #vehicle #defenderv8 #softwaredevelopment #landrover #designpatterns

Most engineers don’t fail system design interviews because they lack skill. They fail because they lack structure. I’ve put together a complete 12-week High-Level System Design Roadmap… from fundamentals to real interview simulations. If you’re serious about leveling up as a backend engineer in 2026… Comment “DESIGN” and I’ll send it to you 📩 #HLD #SystemDesign #Engineer #Backend #Corporate

90% developers fail the system design round. Not because they’re not smart. Because no one taught them how to answer it. This platform lets you learn building block and also practice with AI — like a real interview. Comment “DESIGN” — I’ll DM you the link. #systemdesign #interviewprep #techjobs #indiandeveloper #softwareengineering

Ultimate ADHD game dev strat Plugin is “Ridiculous Coding” by jotson, it’s for Godot- not sure if there’s similar for other engines! #gamedev #gamedeveloper #adhdtips #twitchclips #codingisfun

Comment “HLD” to get the complete flow or just take the screenshot. One System Design Flow for every HLD interview. Use the flow in your next interview, scale application from 1 to million users and modify your application services in between before servers. Hope it helps! Follow for more! #systemdesign #datastructure #hld #reelitfeelit

comment “link”, react machine coding #frontend #interview #reactjs [ frontend, system design, machine coding, reactjs, react, javascript, interview experience]

Want to master RAG? Here’s the complete topic roadmap to build production-ready AI systems. RAG is not just “Vector DB + LLM” It is a full AI system made of retrieval, architecture, and evaluation. Without these layers, even the best LLM will hallucinate. 🔷RAG Retrieval Science This is the foundation of RAG. It covers vector search, embeddings (dense & multilingual), semantic vs keyword search, similarity metrics, and indexing methods like HNSW, IVF, PQ, and ScaNN. 🔷Chunking & Context Engineering This decides what information the model actually sees. It includes fixed-size chunking, semantic and recursive chunking, structure-aware chunking, parent-child strategies, and sliding-window context packing. 🔷Advanced Retrieval Techniques This is where RAG becomes powerful. Hybrid search (BM25 + embeddings), query expansion, HyDE, embedding drift handling, and re-embedding pipelines improve accuracy at scale. 🔷Advanced RAG Architectures These designs power enterprise AI systems. Naive and multi-stage RAG, Graph RAG, RAG Fusion, long-context and hierarchical RAG, multi-hop and agentic RAG, plus rerankers like Cohere, BGE, and ColBERT. 🔷Evaluation & Optimization Strong RAG systems are not guessed — they are measured. Precision, recall, relevance, faithfulness, and continuous feedback loops make the system reliable. ▪️Strong RAG systems are built, tested, and evaluated. This roadmap shows how to go from basic retrieval to advanced, real-world AI systems. Save this 📌 Build projects 🛠️ Measure everything 📊 #rag #genai #aiengineering #llm #datascience

Aint kidding, System design is one of the most interesting and somewhat difficult arena where devs (sde 1s) struggle in interviews but lets fix it by starting with system design ⏩⏩ 1. CS 75s Summer School lecture videos ( great for understanding what and why we need to care about scalability and tolerance? ) 2. Bye byte go (by Alex Xu the Author of System design series is a fun and cool way to actually think of real world problems linked with the cool system design concepts) 3. Gaurav Sen ( good collection of system design interview questions and approach to them in system design interviews ) 4. Piyush Garg ( cool system design collection of concepts and the requirements for the same ) Follow @thelonercodergirl for more tech stuff ⚡️⚡️ // #javaprogramming #softwaredeveloper #coding #backenddeveloper #faang #softwareengineer #systemdesign #tech #softwaredev