#Jad Software Development Methodology

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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]

Rotate Array by K Positions – JS Interview Question 🔁 Learn a simple, interview-ready way to rotate arrays using slice() + concat(). Super useful for sliders, pagination & real-world UI logic. Follow @MohitDecodes for daily JS & DSA shorts 🚀 #javascript #jsinterview #dsa #webdevelopment #mohitdecodes

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]

important js output based question #javascript #codinglife #softwaredevelopment

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

Video and Channel link in Bio. Let’s build an AI-Powered Fullstack application with ChatGPT and NextJS (ReactJS). #programming #developer #coding #ai #project

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 “blog” & I’ll share the blog link with you in your DM 🤝🏻 (Make sure to follow else automation won’t work) Topic: Redis (database that answers millions of request in microseconds that too with a single thread) Save for your future interviews 📩 #dsa #systemdesign #tech #coding #codinglife [dsa, system design, redis, tech]

This is a classic real-world system design question every backend developer should know. Unlock 200+ practical problem-solutions just like this one in the Ebook. Link in bio Let’s break it down : 1️⃣ Idempotency Key Definition: Assign a unique ID to each API request so the backend recognizes duplicates. Example: User clicks “Pay Now” twice → processed only once using the same payment_id. ⸻ 2️⃣ Disable Button / Debounce Definition: Stop multiple clicks from triggering duplicate API calls. Example: Disable or delay the “Submit” button immediately after the first click. ⸻ 3️⃣ Database Lock or Unique Constraint Definition: Prevent duplicate entries at the database level. Example: Reject new records if the same order_id already exists. ⸻ 4️⃣ Queue Deduplication Definition: Definition: Ensures that repeated messages in a queue (like Kafka or SQS) aren’t processed multiple times. Example: If two messages have the same ID, only one is processed. #SystemDesign #BackendEngineering #API #ScalableSystems #Kafka #SQS #WebDevelopment #DevTips #TechReels #SoftwareEngineering #ProgrammingTips #backenddevelopment #mission_compile (API reliability, real-world system design, Stripe architecture, payments, stripe, razorpay, backend systems, scalable systems, api development, idempotent)

Scalability in System Design is not equal to fast. #webdevelopment #javascript #sundaslovescoding #programming #coding

Java development from zero #coding #learn #tech #programming