gibran.py
118 posts

gibran.py
@AlejandroG34321
- AI, ML & DL ❤️ - B.S. Computer Systems Engineering 📚 - Data Analyst Intern 📊 https://t.co/EsTQMsEzVr 🐍🐧
Morelia, Michoacán de Ocampo Katılım Ağustos 2025
47 Takip Edilen3 Takipçiler

Como me jode que la gráfica esté hecha en Python
rubén@rubennatm
Bueno pues Marcos Llorente ha enloquecido definitivamente jajajajaj
Español

@wordsofnishant Unpaid with that list? That's a full-stack senior role, not an internship. Focus on HTML/CSS/JS and one framework to start. Good luck with your search.
English

@AlejandroG34321 @devXritesh alright gibran. gonna be posting my takes and discoveries
English

[ System Design Series - Week 2/12 Wrapped 🔥 ]
Week 2 is officially complete
Days 5-7:
We went deep on caching and honestly… this is where most apps go from “slow & expensive” to “blazing fast & cheap”.
Here’s the complete recap:
DAY 5: Redis Caching Fundamentals
- 800ms → 12ms (67x faster)
- In-memory vs disk I/O
- Cache-aside pattern + TTL strategies
DAY 6: Cache Invalidation
- TTL (simple but eventual)
- Write-Through vs Write-Aside
- Stampede protection (the real killer)
DAY 7: CDN Caching
- Edge locations = 200ms → 20ms latency
- Static files only
- Origin server finally gets to breathe
The Golden Pattern We Learned:
Caching Layers (use all three):
1. CDN → Static files (images, CSS, JS, fonts)
2. Redis → Dynamic data (prices, user sessions, API responses)
3. Database → Source of truth (only hit on cache misses)
Combined effect?
1000x faster than hitting the database every time.
Real Production Impact:
Without caching → Database dies at 10K req/sec
With proper caching →
- CDN handles 8K req/sec
- Redis handles 1.9K req/sec
- Database chills at ~100 req/sec
Your app scales.
Your bill drops.
Users stay happy.
Most common question this week:
“When do I invalidate the cache?”
Answer:
- Use TTL for stuff that can be slightly stale
- Use manual invalidation for critical data (inventory, prices)
- Best move?
Use both TTL as safety net.
Never rely on just one strategy.
Tomorrow,
I’m dropping the full Medium article:
“Caching Strategies in Production: From Redis to CDN”
(5000+ words, real code, diagrams, exact production patterns).
But right now Week 2 Q&A is open:
Hit me with any caching doubt:
- Redis setup/config
- Invalidation strategies
- TTL vs Write-Aside
- CDN gotchas
- Multi-layer caching
- Production war stories
Every single question gets answered today's
Drop them below 👇 Let’s clear everything before
Week 3 starts Tuesday
Who’s still with me on this 90-day journey? 🔥
#SystemDesign #Caching #Week2

English

@devXritesh this is nice bro, I think I should do something like this but for ml
may I adopt your method?
English

@JOBCORNER247 ADIE JULIUS OKOLI
Remote Virtual Assistant | Content Creator | AI Prompt Engineer | Social Media Manager
📧 juliusadieokoli@gmail.com | 📞 +234 806 543 5412
🌍 Remote | Flexible Time Zones
PROFESSIONAL SUMMARY
Detail-oriented and highly adaptable Virtual Assistant
Català

@Om7248 For new projects, FastAPI's simplicity and async support are hard to beat. But if you're already in a large Java/Kotlin ecosystem, Spring Boot's maturity is the pragmatic choice.
English

Today is my first day at Anthropic.
Super excited I shipped my first change today, added source maps so debugging is easier.
Can’t wait to show you all what I’ve been working on!
cc: @AnthropicAI

English

@PriyanshuP86428 @tiangolo Me too, It's amazing and Tiangolo too
English

Fastapi is one of my favourite backend choice...things build in minutes and i enjoy learning more about it becaus of its super well maintained docs
Today i get invited for fastapi cloud ...really excited to test it
Thanks @tiangolo for this

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