1.9M
KAHow to debug and fix slow APIs?
#webdevelopment #webdeveloper #fullstackdeveloper #backenddevelopment #backenddeveloper #softwaredevelopment
@kamrify
#Api Performance Optimization Techniques
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27Trending Reels
(12)
2.2M
MI1 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.
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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.
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3️⃣ Caching Layer
👉 Serve frequent reads from Redis/Memcached to avoid DB overload.
Example: User profile cached → avoids 10M database hits/day.
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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.
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5️⃣ Async Processing (Queues)
👉 Push heavy tasks to Kafka/SQS so API responds instantly.
Example: Payment API returns fast → receipt email sent in background.
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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.
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7️⃣ Rate Limiting
👉 Block or throttle abusive clients to protect server capacity.
Example: “100 requests/sec limit” prevents bots from killing the API.
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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]
@mission_compile
355.8K
MIAsked 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 .
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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.
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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.
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3️⃣ Central Authentication
👉 Login check happens once at the gateway.
Example: Like showing your ID at building entrance, not at every room.
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4️⃣ Rate Limiting (Protect Backend)
👉 Stops spam/abuse before it reaches services.
Example: Like security controlling crowd so rooms don’t get overcrowded.
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5️⃣ Caching at the Gateway
👉 Cached responses reduce load on backend services.
Example: Like keeping frequently asked answers ready at the reception desk.
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6️⃣ Request Transformation
👉 Converts incoming requests into formats services understand.
Example: Like a receptionist translating your query into the right department language.
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7️⃣ Logging & Monitoring
👉 One place to track all failures, slow APIs, and traffic spikes.
Example: Like CCTV at the main gate capturing everyone entering.
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#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)
@mission_compile
![#Api Performance Optimization Techniques Reel by @highonnknowledge - Thanks to @suparn7 for doing this 🙏🏻
React Optimization Techniques
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[student,coding, code, react, learning, skill, upskill]
#coding #coder #](https://image.pictame.com/img/527390379_17962834814957169_236952267801563736_n.jpg?hash=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)
44.7K
HIThanks to @suparn7 for doing this 🙏🏻
React Optimization Techniques
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[student,coding, code, react, learning, skill, upskill]
#coding #coder #frontend #fullstackdeveloper #reactjs #next #api #webdeveloper #webdevelopment #website #web #development #tips #softwaredevelopment #nextjoy #javascript #trainer #technology #smallbusiness #onlineteaching #highonnknowledge
@highonnknowledge
99.0K
VISAVE 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!
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[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]
@vishakha.sadhwani
783.7K
CHHandling 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]
@chhavi_maheshwari_
471.9K
SAWhat 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
@sayed.developer
833.4K
COCheck eBook for such questions, link is bio
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.#java #springboot #restapi #backbenchers #backend #backenddeveloper #javanese #bca #btech #fullstack #fullstackdeveloper #jobs #itjobs #javainterviewquestions #microservices #code #coding #coder #developer #mca #javajavajava #javaawsdeveloper #systemdesign #javacoding #javadeveloper #javaprogramming #coding #interviewquestions
@coding__lyf
136.1K
SUYour 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.
@sujan.codes
17.2K
MAThis was Common mistakes to avoid when deploying your app 👀 Follow 4 more CS content.
@madhubyte
419.7K
EMComment “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.
@emrcodes
864.4K
HIComment down your favourite approach 👇👇
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#coding #coder #frontend #fullstackdeveloper #reactjs #next #api #webdeveloper #webdevelopment #website #web #development #tips #softwaredevelopment #nextjoy #javascript #trainer #technology #smallbusiness #onlineteaching
@highonnknowledge
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