EborCode.Dev💎🇳🇬👨💻
@Eborcode
Backend Engineer || loves football, politics || man city fan
A message queue is a durable component, stored in memory, that supports asynchronous communication. It serves as a buffer and distributes asynchronous requests.
A stateful server remembers client data (state) from one request to the next. A stateless server keeps no state information.
stateless web tier ——> This is when each web server in the cluster can access state data from databases.
Content delivery network (CDN) A CDN is a network of geographically dispersed servers used to deliver static content. CDN servers cache static content like images, videos, CSS, JavaScript files, etc.
Just reading through this System Design by alex xu, waoh! This is very insightful, thanks for sharing:
These days I watch system design videos by @piyushgarg_dev then read book (System design by alex xu) to build intuition about systems architecture
We’re Live, Backend Fam! The wait is over — our Office Hour / FinPay Project Presentation is happening right now! Join us as our amazing members showcase their FinPay projects, share what they’ve built, and inspire us all with creativity and innovation. luma.com/77y1r8gr
As a techie, if you plan to japa in the next five years, you should start planning NOW…. What are the things you should be doing? We will hold a space to discuss them in details shortly. I will give only 20 people direct mentorship on it.
Great save 🧤 Pickford for stopping Haaland for scoring an hatrick. ⚽️⚽️
HTTP Status Codes Every Dev Should Know 200 OK - Success, everything worked 201 Created - Successfully made something new 204 No Content - Success, but nothing to return 301 Moved Permanently - Resource moved forever, update your links 302 Found - Temporary redirect 400 Bad…
There are so many information as regards tech. Pick one and master it.
What do you think reducing your payload size from 145.69kb to 3.96kb does to your endpoints? It will load fassssssst. Check your payload size today.
These optimization steps help me reduce our load time from 6s to 633ms I shared my progress on optimizing the performance of the new @master_backend I didn't just want to throw in a Cache Layer to a badly designed code, so I went deep into application-level optimization How?
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