#Api Testing Frameworks

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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]

Learn API testing for free!

We use APIs every single day — but most people don’t even realize it. Every time you check your Instagram feed, see today’s weather, or make a UPI payment… it’s an API quietly doing its job behind the scenes. APIs are literally the language of the internet — how every app, website, and system talk to each other. Let’s understand the 3 main types of APIs (REST, SOAP, GraphQL) in just 30 seconds! 🚀 #TechExplained #LearnCoding #ComputerScience #EngineeringStudents #ProgrammingForBeginners #BackendDevelopment #SoftwareEngineering #TechReels #CodingSimplified #learncodingfree #webdevelopment #btech #bca #mernstack #codingtips #computerscience #codinglife #api

All in One API testing cheatsheet!

🚀 Stream API in Java Process collections using operations like map, filter, reduce in a clean and functional way ⚡ Follow @codeinseconds26 for quick coding concepts 🚀 #codingreels #javaprogramming #streamapi #codingtips #learncoding

Free API for testing -----------tags------------ #htmlcss #webdevelopment #frontend #html #css #javascript #coding #htmltricks #cssanimations #csstricks #javascripttricks

SAVE this post for later! 💾 Here are 3 Awesome APIs that you can use to power up your next programming project! 🚀 1. ElevenLabs 🗣️ 2. Twilio API 💬 3. Google Cloud Vision AI 👀 All 3 of these APIs can be used for some pretty cool use cases. Think AI Assistants, Smart Vision Tools, Chatbots and a whole lot more! 🤯 Let me know what APIs you’re currently working with! 🤔

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5 Steps to Master Test Automation 1. Prioritize Core Frameworks • Unit Testing: JUnit, TestNG, PyTest • API Testing: RestAssured, Postman • UI Testing: Selenium, Cypress, Playwright • Mobile Testing: Appium, XCUITest • Performance: JMeter 2. Strengthen Automation Foundations • Patterns: Page Object Model, Test Data Management 3. Master Testing Levels • Unit: Mocking, code coverage • API: Contract testing, microservices • E2E: UI automation, cross-browser, mobile 4. Adopt Modern Practices • CI/CD tools (Jenkins, GitHub Actions) • TDD, BDD • Automated reporting 5. Learn Automation Patterns • Page Object Model, Factory, Strategy • Frameworks: BDD, Data-driven, Hybrid Focus on relevance, practice consistently, and grow with real-world projects!

Developers, don’t miss this API collection 🤯🔗

SAVE THIS For Your Next Backend Interview 💼 An API is simply how apps talk to each other. Request → Response → Data. But not all APIs are built the same 👇 1.⁠ ⁠REST The most common API style using HTTP requests. Simple & widely used Limitation: You often get too much data (overfetching) or too little (underfetching) 2.⁠ ⁠GraphQL Lets clients request exactly the data they need. No over/under fetching Limitation: Can get complex & harder to scale properly 3.⁠ ⁠WebSockets Real-time, two-way communication between client & server. Perfect for chats, live updates Limitation: Harder to manage at scale 4.⁠ ⁠gRPC High-performance APIs using Protocol Buffers. Super fast & efficient Limitation: Not browser-friendly, harder to debug 5.⁠ ⁠Webhooks Server sends data automatically when an event happens. No need to constantly request data Limitation: You don’t control when data comes (event-driven only) Understand when to use what, because that’s what actually gets tested. These cover 80% of the most popular api types, but there are more like SOAP, MQTT.. which are used based on company requirements. Follow for more! . . [backend interview concepts, cloud interview prep, api types, rest api, graphql explained, websockets tutorial, grpc vs rest, webhooks explained, backend development, system design basics, software engineering concepts, tech interview prep, api interview questions, full stack development, devops fundamentals, cloud computing basics, programming fundamentals, coding for beginners]