109.9K
SUScalability in System Design is not equal to fast.
#webdevelopment #javascript #sundaslovescoding #programming #coding
@sundaslovescoding
#Scalability
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AN. @chantel_elloway breaks down her 3 non-negotiables before investing:
the people behind the project, its scalability, and timing.
Because great ideas only matter when the world is ready for them.
🎧 The OGs powered by @pepperstone_ar . Watch the full episode, link in Bio.
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@andreswifitv
![#Scalability Reel by @nikhilhuhcodes - Your backend folder structure might be killing your scalability.
Here's the mistake 👇
[ ❌ Organizing by file type ]
controllers/
services/
models/
r](https://image.pictame.com/img/640896065_17858045265663983_1737109119765159160_n.jpg?hash=aHR0cHM6Ly9zY29udGVudC1wcmcxLTEuY2RuaW5zdGFncmFtLmNvbS92L3Q1MS44Mjc4Ny0xNS82NDA4OTYwNjVfMTc4NTgwNDUyNjU2NjM5ODNfMTczNzEwOTExOTc2NTE1OTE2MF9uLmpwZz9zdHA9ZHN0LWpwZ19lMzVfczY0MHg2NDBfdHQ2Jl9uY19jYXQ9MTExJmNjYj03LTUmX25jX3NpZD0xOGRlNzQmZWZnPWV5SmxabWRmZEdGbklqb2lRMHhKVUZNdVltVnpkRjlwYldGblpWOTFjbXhuWlc0dVF6TWlmUSUzRCUzRCZfbmNfb2hjPVpfWm0ySEFxR3k4UTdrTnZ3SGYwMTFkJl9uY19vYz1BZHBOSmx0WVo1R2RBeGs2NG5KcEpxZ1NRMVpaNGJmaHVodk91MGpsY0ZmUWxlZjNvUUdMMXM0aHlHa2g1ZnFYdFBVJl9uY196dD0yMyZfbmNfaHQ9c2NvbnRlbnQtcHJnMS0xLmNkbmluc3RhZ3JhbS5jb20mX25jX2dpZD1oUHVWbXhCMFhCdWtoTjdCT0o5UmZRJl9uY19zcz03YTMwZiZvaD0wMF9BZndNRmlOc25pbkM0LXBUcEljdmVuZzA0NzNaUXdOOWdLbWkzQldHSDFwV25RJm9lPTY5Q0RFQkVG)
236.6K
NIYour backend folder structure might be killing your scalability.
Here’s the mistake 👇
[ ❌ Organizing by file type ]
controllers/
services/
models/
routes/
Problem?
To understand ONE feature, you jump across 4 folders.
Now imagine 25 features 💀
[ ✅ Organizing by feature ]
user/
auth/
payment/
Everything related to that feature stays in one place.
Less confusion. Faster development. Cleaner scaling.
Production apps follow this.
Tag your backend dev friend who needs to see this 👇
#backenddeveloper #nodejsdeveloper #cleanarchitecture #softwaredesign #webdev
@nikhilhuhcodes
43.6K
CO🚨 Interview Question:
Service A ➝ DB handles 10k req/sec.
Suddenly 1M req/sec hits ⚡
System starts failing 😳
Why: Weak architecture → DB bottleneck under high traffic
⸻
💡 Production Solutions
1️⃣ Sharding / Partitioning
• DB split → load distributed
2️⃣ Caching Layer
• Redis / Memcached → hot data served
3️⃣ API Gateway / Rate Limiting
• Traffic throttled → prevent overload
4️⃣ Horizontal Scaling
• More app instances → auto-scale → stateless services
5️⃣ Queue / Async Processing
• Kafka / RabbitMQ → heavy writes async
6️⃣ Read Replicas / Replication
• Reads separated → master DB pressure reduced
7️⃣ Connection Pooling
• DB connections optimized → no exhaustion
🔥 Interview One-Liner:
“Scaling = sharding + caching + async + decoupled services.”
⸻
🏷 Hashtags
#backend #systemdesign #scalability #database #microservices api eventdriven java softwareengineer techindia developers productionready interviewquestions backenddeveloper highload architecture
@codeera.tech
89.3K
PIYour users grew from 1K → 100K… and suddenly your LLM bill is 100x 😨
Here’s how to reduce cost like a real system designer 👇
➡️ Caching (BIGGEST WIN)
Cache frequent queries + responses (Redis) → avoid repeated LLM calls
➡️ Use Smaller Models
Not every request needs GPT-4-level power → use smaller/cheaper models when possible
➡️ RAG instead of Fine-Tuning
Retrieve only relevant context → reduce tokens sent to LLM
➡️ Prompt Optimization
Shorter, cleaner prompts → fewer tokens = lower cost
➡️ Batching Requests
Process multiple requests together to reduce API overhead
➡️ Streaming + Early Exit
Stop generation when answer is sufficient
➡️ Rate Limiting
Prevent unnecessary/spam usage
➡️ Async Processing
Queue non-critical requests instead of real-time calls
➡️ Token Monitoring
Track input/output tokens → find cost-heavy endpoints
➡️ Hybrid Architecture
Use rules, search, or traditional backend before calling LLM
➡️ User Tiering
Free vs paid users → control usage limits
➡️ Fine-tune / Distill Models
Train smaller models for your specific use case
Real system design = not just scaling users, but scaling cost efficiently 🔥
Comment “design” to get the full system design roadmap in your DM 📩
#systemdesign
#scalability
#softwarearchitecture
#distributedsystems
#faang
developer tech technology techlife corporatelife techcareer careergrowth learning growth engineer computerscience csstudents engineeringstudent developersindia techindia codinglife programmerlife learncoding codeeveryday problemSolving logicalthinking interviewprep jobprep placements techjobs productbasedcompany mnc bigmnc faang paypal lifeatpaypal google microsoft amazon meta adobe sde sde1 sde2 backenddeveloper frontenddeveloper fullstackdeveloper python java cpp javascript nodejs reactjs scalability datastructures algorithms leetcode dsaquestions leetcodeproblems codingpractice machinelearning artificialintelligence ai datascience cloud aws devops 100daysofcode codingmotivation interviewtips resume resumebuilding careergoals dreamjob highpayingjobs internships offcampus oncampus freshers techskills reelitfeelit explorepage explore
@piyushbhatnagar.ai
3.0K
INWhat investors should watch as quantum computing races towards scalability. #investing #stocks #stockmarket
@investorsbusinessdaily
139.9K
SAWhat happens when your code has to handle millions of users at once? 🌍
That’s the real test in product-based interviews.
It’s not just about the right answer it’s about how you handle the pressure. Recruiters are looking for:
✅ Scalability Thinking: Can your solution grow as traffic increases?
✅ Confidence Under Fire: How you react when the problem gets tougher.
✅ System Knowledge: Understanding servers and infrastructure to manage high loads.
✅ Coding Mastery: Strong fundamentals are your ticket to these high-level rounds.
Success takes focus. Give it 6 months of dedicated effort, and the results will follow. 📈
Want the full step-by-step roadmap? Comment 'PFS' below and I’ll send it straight to your inbox! 📥
#ProductBasedCompanies #CodingInterviews #TechCareer2026 #InterviewHacks #DevLife
[
Product-based company interview questions
Scaling applications for millions of users
Technical interview preparation for developers
System design and scalability concepts
How to handle technical interview pressure
]
@sairamuppugundla
198.7K
CO🚨 API fast in US (100ms) but slow in India (2s)?
Welcome to the - global latency problem🌍
Here’s how top engineers fix it 👇
⚡ Step 1: Deploy servers closer to users
→ India users hit India servers
→ US users hit US servers
⚡ Step 2: Add CDN
→ Cache responses near users
→ No need to hit backend every time
⚡ Step 3: Smart caching (Redis / Gateway)
→ Avoid repeated DB calls
→ Faster responses 🚀
⚡ Step 4: Database replication
→ Reads from nearest DB
→ Writes stay centralized
⚡ Step 5: Geo routing
→ Route user → nearest server automatically
⚡ Step 6: Optimize APIs
→ Smaller JSON
→ Compression (GZIP)
→ HTTP/2
Comment “link”
🔥 This is what real system design looks like.
#systemdesign #backend #developer #springboot #scalability tech coding programming softwareengineer faang
@codeandcomplexity
13.0M
DARAM prices are rising with the momentum of AI.
As models grow larger and data centers expand, memory demand keeps stacking up. It’s no longer just about GPUs RAM capacity and bandwidth are becoming just as critical to performance, cost, and scalability.
Every training run, every inference request, every real-time system pulls on memory. And when that demand compounds faster than supply can respond, pricing pressure builds quickly.
This isn’t a short-term fluctuation.
It’s infrastructure strain
In the AI economy,
memory isn’t secondary it’s strategic.
Follow for more @dailyaiinformation @theplaceforai @whereyoulearnai
#RAM #RAMPrices #AI #ArtificialIntelligence #Semiconductors #TechMarkets #DataCenters #CloudInfrastructure #AIInfrastructure #FutureOfTech
@dailyaiinformation
504
LEManaging IT shouldn’t slow you down. 💨
With @Lenovo ThinkSystem and ThinkAgile powered by @AMD EPYC™ processors, you get faster updates, stronger reliability, and flexible scalability.
Simplify your infrastructure. Maximize your performance.
Link in bio 🔗
@lenovodatacenter
482.3K
CERAM prices are climbing alongside the surge in AI.
As models scale and data centers continue to grow, demand for memory keeps accelerating. It’s not just about GPUs anymore—RAM capacity and bandwidth are now just as critical for performance, cost efficiency, and scalability.
Every training run, every inference request, every real-time system relies heavily on memory. When demand rises faster than supply can keep up, pricing pressure builds fast.
This isn’t a temporary spike.
It’s a sign of deeper infrastructure strain.
In the AI economy,
memory isn’t secondary—it’s strategic.
Follow @centerofainews for more ai content!
#RAM #RAMPrices #AI #ArtificialIntelligence #semiconductors
@centerofainews
7.9K
ROReady to explore what’s next for sequencing by expansion (SBX), currently in development, and how it’s set to take genomic understanding farther than ever before?
Ground-breaking speed, scalability, and flexibility are positioned to set a new precedent for science. Make space for the future of genomics!
Watch the full video to see how SBX differs from other current sequencing technologies.
Link in bio!
@roche
✨ Guida alla Scoperta #Scalability
Instagram ospita 75K post sotto #Scalability, creando uno degli ecosistemi visivi più vivaci della piattaforma.
Scopri gli ultimi contenuti #Scalability senza effettuare l'accesso. I reel più impressionanti sotto questo tag, specialmente da @dailyaiinformation, @centerofainews and @nikhilhuhcodes, stanno ottenendo un'attenzione massiccia.
Cosa è di tendenza in #Scalability? I video Reels più visti e i contenuti virali sono in evidenza sopra.
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