Ribose Radio

Tune into my frequency 📻| Talks About Tech

[Ribose Radio @RiboseRadio]

Day 3: Building a 10K RPS Low-Latency Server from Scratch 🚀We are tackling the heavy lifting: auth, speed, and breaking things under load.

https://t.co/HNoTthz1OF

[Ribose Radio @RiboseRadio]

Day 2: Building a 10K RPS Low-Latency Server from Scratch 🚀
We are tackling the heavy lifting: auth, speed, and breaking things under load.

https://t.co/hQjZrcqVSW

[Ribose Radio @RiboseRadio]

Going LIVE in 10 mins! 🚀

We are building a low-latency backend server from scratch designed to handle 10K RPS .

Stack: Go + Redis + Postgres

https://t.co/syCqmKcgE0

[Ribose Radio @RiboseRadio]

We are live https://t.co/PgFmZwDsBD

[Ribose Radio @RiboseRadio]

The only good code is the code that is easier to debug, everything else is a myth :)
-- A crying on call engineer

[Ribose Radio @RiboseRadio]

When THE SLOP CTO TRUSTS AI TOO MUCH !!!

[Ribose Radio @RiboseRadio]

@Reddit is down !!!
#reddit

[Ribose Radio @RiboseRadio]

A complete inference stack isn’t just about models —
it requires both runtime and infrastructure optimizations.

[Ribose Radio @RiboseRadio]

The final layer is tooling:

→ Giving engineers the right abstractions
→ Balancing control with productivity
Good tooling turns inference from painful ops work into a smooth developer experience.

[Ribose Radio @RiboseRadio]

Most people think machine learning = training models.
But that’s only half the story.

Inference is the second phase in a generative AI model’s lifecycle:

• Training → learning model weights from data
• Inference → actually serving models in production

[Ribose Radio @RiboseRadio]

The next layer is infrastructure:

→ Scaling across clusters, regions, and clouds
→ Maintaining high uptime without creating silos
This is where inference goes from “it works” → “it works reliably at scale.”

[Ribose Radio @RiboseRadio]

hi

[Anthony GG @anthdm]

🚀 Exciting News! Tomorrow, join me for a special LIVE stream on YouTube. It's all about unlocking your potential to land that dream job in software engineering.

I'll be diving into YOUR resumes and projects, offering personalized tips and tricks to make them shine.

DM me your links and be ready tomorrow evening at 18:00 CET.

Make sure to repost and give me a follow or no margaritas.

[Ribose Radio @RiboseRadio]

Hello Everyone !!👋
If you are interested in learning about my open source journey, contributions, and tech, please check out my blogs on @hashnode. I would love to hear your feedback and suggestions. 🚀
https://t.co/jESPr1AgcM
#opensource , #gsoc