#Rest Vs Soap Api

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#Rest Vs Soap Api Reel by @neatroots - 1 Million RPS isn't about code, it's about architecture.
Here are the 8 key layers to scale your API architecture.

👉 Distributes traffic across mult
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@neatroots
1 Million RPS isn't about code, it's about architecture. Here are the 8 key layers to scale your API architecture. 👉 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]
#Rest Vs Soap Api Reel by @skilledharsh - Different Types of APIs - Part 1 
Today we're starting with SOAP API 🔐

Pros, Cons & when to use it - explained simply.

Save this 📌 | REST & GraphQ
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@skilledharsh
Different Types of APIs – Part 1 Today we’re starting with SOAP API 🔐 Pros, Cons & when to use it — explained simply. Save this 📌 | REST & GraphQL coming next #webdevelopment #backend #frontend #reactjs #coding
#Rest Vs Soap Api Reel by @developernaveen - "CORS error" is not a bug 😅 
It's actually a browser security feature.

When your frontend and backend are on different origins,
the browser blocks t
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@developernaveen
“CORS error” is not a bug 😅 It’s actually a browser security feature. When your frontend and backend are on different origins, the browser blocks the request by default. That’s where CORS comes in — permission. Once you understand this, CORS errors stop feeling scary. Sharing real experiences, not perfection. If you’re learning full-stack or building projects, save this reel 🚀 Let’s build together. #developernaveen #CORS #webdevelopment #fullstackdeveloper #codingjourney #apidevelopment #javascript #buildinpublic #studentdeveloper #developerlife
#Rest Vs Soap Api Reel by @conceptsofcs - REST is not just GET & POST.

Follow these standards to build scalable, production-ready APIs 🚀
Save this before writing your next backend service.
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@conceptsofcs
REST is not just GET & POST. Follow these standards to build scalable, production-ready APIs 🚀 Save this before writing your next backend service. Follow @conceptsofcs to see more content like this. #java #javadeveloper #javainterview #JavaBackend #springboot
#Rest Vs Soap Api Reel by @nilbuild - How to debug and fix slow APIs?

#webdevelopment #webdeveloper #fullstackdeveloper #backenddevelopment #backenddeveloper #softwaredevelopment
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@nilbuild
How to debug and fix slow APIs? #webdevelopment #webdeveloper #fullstackdeveloper #backenddevelopment #backenddeveloper #softwaredevelopment
#Rest Vs Soap Api Reel by @thescriptstyle - An API is a messenger between two systems 

You don't see it…
but APIs power:
• Login systems
• Payment gateways
• Weather apps
• Social media feeds
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@thescriptstyle
An API is a messenger between two systems You don’t see it… but APIs power: • Login systems • Payment gateways • Weather apps • Social media feeds Simple rule 👇 No API → No communication between apps That’s why APIs are the backbone of modern web development #javascript #frontenddeveloper #backenddeveloper #nodejs #api
#Rest Vs Soap Api Reel by @codewithmukul (verified account) - Comment "Notes" and I'll share the detailed doc link
• What is an Idempotent REST API in simple words
• Same API call multiple times → final server st
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@codewithmukul
Comment “Notes” and I’ll share the detailed doc link • What is an Idempotent REST API in simple words • Same API call multiple times → final server state stays the same • GET → only reads data (safe to retry) • PUT → updates with same data (no duplicates) • DELETE → deletes once (state remains deleted) • POST → creates new data (can create duplicates) • Important for payments, retries, and real-world backend systems Save this for your next interview #BackendEngineering #SystemDesign #RESTAPI #WebDevelopment #Java
#Rest Vs Soap Api Reel by @sujan.codes - Your API takes 2 seconds to respond.�How do engineers reduce it to just 200 milliseconds?

Step one is profiling.
You must first identify where the de
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@sujan.codes
Your API takes 2 seconds to respond.�How do engineers reduce it to just 200 milliseconds? Step one is profiling. You must first identify where the delay is happening. Check:�database queries�external API calls�heavy processing Find the slowest step. Step two is caching using Redis. If data doesn’t change frequently,�store it in cache. Instead of querying the database every time,�return data from Redis instantly. Step three is using async processing and queues. Heavy tasks like emails, reports, or notifications �should not run during the API request. Send them to a background queue�so the API responds immediately. Step four is reduce payload size. Return only required fields,�not entire database records. Step five is reduce network latency. Use compression, CDNs, and faster servers. In simple words:�Identify bottlenecks, cache data, use async processing,�and reduce unnecessary work.

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