#Api Vs Microservices Architecture

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#Api Vs Microservices Architecture Reel by @codewith_sushant - 🚀 Top 12 Microservices Patterns Every Developer Must Know Building scalable systems isn't just about code - it's about choosing the right architectu
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@codewith_sushant
🚀 Top 12 Microservices Patterns Every Developer Must Know Building scalable systems isn’t just about code — it’s about choosing the right architecture. From handling failures to managing distributed transactions, these patterns help you design robust, scalable, and production-ready systems 💡 🔑 What you’ll learn from this: • How API Gateway simplifies client communication • Why Saga is critical for distributed transactions • How Circuit Breaker prevents system failure • When to use CQRS & Event Sourcing • Best practices like Database per Service & Sidecar. 💼 If you're preparing for System Design Interviews or working on Spring Boot Microservices, this is a must-know cheat sheet. 📌 Save this post for quick revision #Microservices #SystemDesign #JavaDeveloper #SpringBoot #BackendDevelopment SoftwareArchitecture TechLearning CodingJourney DeveloperTips InterviewPreparation
#Api Vs Microservices Architecture Reel by @sayed.developer (verified account) - What is Microservices Architecture 🤯 Guys! Microservices architecture is a system design where an application is split into many small, independent
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@sayed.developer
What is Microservices Architecture 🤯 Guys! Microservices architecture is a system design where an application is split into many small, independent services that each handle a specific business capability. Each service runs independently, communicates through APIs, and can be developed or deployed without affecting the others. This allows teams to scale, update, and maintain parts of the system separately instead of managing one large codebase. In short, microservices break a big application into smaller, specialized services that work together. And that’s literally it🫡 #softwareengineering #dev
#Api Vs Microservices Architecture Reel by @akashcodeofficial (verified account) - Microservices in the simplest way 🔥 one big app -> split into small services Each service = independent, reliable and handled by its own team 💻 T
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@akashcodeofficial
Microservices in the simplest way 🔥 one big app -> split into small services Each service = independent, reliable and handled by its own team 💻 That’s why big companies love it - but small startups don’t need it yet ! #microservices #backend #systemdesign #fullstackdeveloper #webdevelopment #learncoding #computerscience #btech #freecoding #bca #learncodingfree
#Api Vs Microservices Architecture Reel by @emrcodes (verified account) - Comment "API" to get the links! 🔥 Trying to build modern software without understanding APIs is like wiring systems together without agreeing on a l
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@emrcodes
Comment “API” to get the links! 🔥 Trying to build modern software without understanding APIs is like wiring systems together without agreeing on a language. If you don’t truly get what APIs are, how REST works, and why gateways exist, you’ll build fragile systems, misuse tools, and struggle with scaling and integration. This mini roadmap fixes that. ⚡ What Is an API? (Application Programming Interface) A clear explanation of what APIs actually are, why they exist, and how software systems communicate—without hand-wavy abstractions. 📚 What Is a REST API? A practical breakdown of REST principles, HTTP methods, statelessness, and resource-based design—so you stop guessing and start designing APIs correctly. 🎓 What Is an API Gateway? Learn why API Gateways exist, what problems they solve (auth, rate limiting, routing), and when you actually need one—versus when you don’t. 💡 With these API resources you will: 🚀 Stop treating APIs as “just controllers” 🧠 Build a correct mental model of client–server communication 🏗 Design cleaner, more scalable backend interfaces ⚙ Avoid common REST and API design mistakes ☁ Level up for Backend, Frontend, Microservices, and Cloud architectures If you want to move from “my endpoint works” to “my system scales, integrates, and evolves cleanly,” API fundamentals aren’t optional—they’re foundational. 📌 Save this post so you never lose this API roadmap. 💬 Comment “API” and I’ll send you all the links! 👉 Follow for more Backend Engineering, System Design, and Career Growth.
#Api Vs Microservices Architecture Reel by @sayed.developer (verified account) - What is an API? 🤯 How do APIs work?👾 How can APIs save developers huge amount of time? 🚀 Prepare for your next interview starting from the basics.
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@sayed.developer
What is an API? 🤯 How do APIs work?👾 How can APIs save developers huge amount of time? 🚀 Prepare for your next interview starting from the basics. Mastering the basics and not taking shortcuts will give you a solid ground to build your knowledge on. Software engineers should know this as it is the bread and butter of building complex systems 🫡 The simplest explanation of an API you will find online 👾 #code #softwareengineering #computerscience
#Api Vs Microservices Architecture Reel by @bitsinbinary - 225k+ views ☺️ | Ever wondered how Amazon or Netflix handle millions of users without crashing? 🤯 It's not magic - it's Microservices ⚡ #ScalableApp
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@bitsinbinary
225k+ views ☺️ | Ever wondered how Amazon or Netflix handle millions of users without crashing? 🤯 It’s not magic — it’s Microservices ⚡ #ScalableApps #MicroservicesExplained #BitsInBinary #codelearnevolve #architecture
#Api Vs Microservices Architecture Reel by @mrgenz25 - Build a Backend API with Express.js & Fetch Data in Minutes!#JavaScript #ExpressJS #Backend #API #NodeJS #WebDevelopment #Coding #Programming #RESTAPI
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@mrgenz25
Build a Backend API with Express.js & Fetch Data in Minutes!#JavaScript #ExpressJS #Backend #API #NodeJS #WebDevelopment #Coding #Programming #RESTAPI #TechShorts #LearnToCode #Developer Build a Backend API with Express.js & Fetch Data in Minutes! In this short, I created a full backend API using Express.js and tested it by fetching data — all with pure JavaScript! ✅ 🛠 What I Covered: ✅Set up Express server ✅ Created GET API endpoint (/api/data) ✅ Returned JSON data (e.g., users, products) ✅ Tested API in browser & Postman
#Api Vs Microservices Architecture Reel by @chhavi_maheshwari_ - Handling 1 Million RPS isn't about code - it's about smart architecture. 1️⃣ Traffic Distribution (Load Balancers) ➡️ Spreads incoming requests acros
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@chhavi_maheshwari_
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]
#Api Vs Microservices Architecture Reel by @codewithupasana - Companies are Quitting microservices. They're fixing what broke. For years, microservices were sold as the ultimate architecture. Move fast. Scale ind
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@codewithupasana
Companies are Quitting microservices. They’re fixing what broke. For years, microservices were sold as the ultimate architecture. Move fast. Scale independently. Deploy anytime. And it worked… until it didn’t. What actually happened in many companies: 100+ services for a simple product Network calls everywhere Debugging turned into tracing nightmares Infra cost exploded Local development became painful Teams spent more time managing services than building features So companies didn’t go back to monoliths. They went modular. Modular architecture = Clear domain boundaries Fewer, larger services Strong internal modules instead of network hops Independent ownership without distributed chaos Faster dev, easier testing, lower cost Big tech today prefers: ➡️ Well-structured modular monoliths ➡️ Selective microservices (only where scale truly demands it) Because architecture is not about trends. It’s about trade-offs. Microservices are powerful — but only when you actually need them. Build simple first. Scale deliberately. Distribute only when forced. That’s how real systems survive. 🚀 #softwarearchitecture #microservices #modulararchitecture #systemdesign #backendengineering scalablearchitecture techinsights engineeringlessons distributedSystems backenddev softwareengineering architecturedecisions
#Api Vs Microservices Architecture Reel by @mission_compile - 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-solu
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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]
#Api Vs Microservices Architecture Reel by @swerikcodes (verified account) - You absolutely need to learn how to use APIs in your coding projects if you want to get hired as a software engineer #coding #codingtips #learntocode
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@swerikcodes
You absolutely need to learn how to use APIs in your coding projects if you want to get hired as a software engineer #coding #codingtips #learntocode #codingforbeginners #api #softwareengineer #cs #computerscience
#Api Vs Microservices Architecture Reel by @mission_compile - Asked in most system design interviews - an API Gateway keeps microservices clean, fast, and secure, just like a receptionist in office : Comment "PD
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@mission_compile
Asked in most system design interviews — an API Gateway keeps microservices clean, fast, and secure, just like a receptionist in office : Comment "PDF" to get detailed notes . ⸻ 1️⃣ One Entry Point (No Chaos) 👉 Clients hit one URL instead of 20 microservices. Example: Like entering a mall through one main gate instead of 20 side doors. ⸻ 2️⃣ Smart Routing & Load Balancing 👉 Gateway sends each request to the right service/server. Example: Like a receptionist sending you to billing, support, or sales. ⸻ 3️⃣ Central Authentication 👉 Login check happens once at the gateway. Example: Like showing your ID at building entrance, not at every room. ⸻ 4️⃣ Rate Limiting (Protect Backend) 👉 Stops spam/abuse before it reaches services. Example: Like security controlling crowd so rooms don’t get overcrowded. ⸻ 5️⃣ Caching at the Gateway 👉 Cached responses reduce load on backend services. Example: Like keeping frequently asked answers ready at the reception desk. ⸻ 6️⃣ Request Transformation 👉 Converts incoming requests into formats services understand. Example: Like a receptionist translating your query into the right department language. ⸻ 7️⃣ Logging & Monitoring 👉 One place to track all failures, slow APIs, and traffic spikes. Example: Like CCTV at the main gate capturing everyone entering. ⸻ #SystemDesign #APIGateway #Microservices #BackendEngineering #techreels (API Gateway, Microservices Architecture, System Design Interview, API Security, Load Balancing, Backend Engineering, Distributed Systems, High Scale APIs, Developer Tips, Scalable Architecture)

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