Building HyFD: How We Used MongoDB to Store and Analyse Production ML Failure Logs
By @sourab_reddy_ @siddardha796 @bvishnu_2509 @giridhar_58 — developed under the guidance of @chanda_rajkumar The Problem That Started Everything Here…
Latest Web news from Tech News
All topics
AI
agents
ai
api
architecture
automation
aws
beginners
career
claude
database
devchallenge
devops
discuss
javascript
linux
llm
machinelearning
mcp
opensource
performance
productivity
programming
python
react
security
showdev
tutorial
typescript
webdev
The Agentic Execution Loop: Distributed Systems & API Proximity
When discussing AI infrastructure, the conversation almost exclusively revolves around single-node optimization—NVLink bandwidth, PCIe lanes, and GPU …
Production GPU Training is 34% Slower. Show Me Why
A single slow GPU – a straggler – in a 1,000-node training cluster idles 999 healthy GPUs at every AllReduce barrier. The job does not crash. There is…
Designing an AI System: Where Do You Even Start?
"Most people start AI projects with models. That’s the wrong place to begin. Here’s how to think about designing AI systems correctly." Most AI projec…
AI/ML Infrastructure on AWS: A Production-Ready Blueprint
Deploying ML models to production requires more than just a SageMaker endpoint. Here's the 5-layer architecture I use for every ML deployment. Layer 1…
I Thought Fine-Tuning Needed an ML Team. I Was Wrong.
A few months ago, I almost killed a feature. Not because it didn’t work but because improving it felt… impossible. We had an AI system in production. …
Why 90% of ML Engineers Struggle in Real-World Systems
Most ML engineers don’t fail because they lack knowledge. They fail because they’re solving the wrong problem. 🚨 The Hard Truth Most ML engineers are …
The Hidden Cost of AI Systems Nobody Talks About.
AI isn’t expensive. Bad AI systems are. 💸 The Illusion: “AI is Cheap Now” With APIs and open-source models, it feels like: Spin up a model Plug in an …
Why Your Enterprise MLOps Strategy is Failing to Scale—and How to Fix It
Authors: Sean Rastatter , Rawan Badawi Why do so many enterprises struggle with MLOps? Year after year, the numbers remain stubbornly high: 80%+ of AI…
Building Secure AI Systems from Design to Deployment
Secure AI systems require a lifecycle-centric approach where security is embedded across design, development, and deployment. Unlike traditional softw…