Cloud
Cloud infrastructure, storage, GPUs, VPS, CDN and data centers. What the pricing pages leave out, and where real costs diverge.
-

Running 100,000 GPUs at Once: The Texas Data Center Behind GPT-6 Astra
Behind model performance lies concrete and switchgear
-

What AI Companies Want from Cloud Engineers: Analyzing 1,368 Job Postings
Breaking down the role from scratch with clear terminology
-

The Code Was Fine and the Result Was Wrong: Five Papers That Changed Troubleshooting in 2026
Infer less, compare more, and say “I don’t know” when you don’t.
-

Thousands of GPUs Waiting on Storage: The Three Bottlenecks Found by the OSDI 2026 Best Paper
The bottleneck was never the GPUs — it was the data pipeline. What 30,000 production traces revealed.
-

The Industry Map of Cloud: Fashion Runs to AWS, Big Retail Runs Away From It
Industries don’t choose their cloud — the constraints on them do
-

How Much Do AWS and Azure Certifications Tell You About Real Ability? A Reader’s Guide for HR
Read a certification not as “has one / doesn’t”, but as when, which level, and why
-

Why AI Keeps Getting Azure Outage Root Causes Wrong: Applying 2026 Papers to a Real 500 Error
98% DTU wasn’t the root cause—it was just a second symptom
-

What an MLOps Engineer Actually Does: The People Who Keep Models Running
Not the job of building models, but of keeping them alive
-

What Kind of Company Is Google Cloud: How Third Place Shakes the Board by Growing Fastest
Third in share, first in speed
-

How Modern Cloud Outages Are Handled: Four Ways Troubleshooting Changed in 2026
Most outages originate outside your own code
-

The Future of Cloud Engineers: Not a Disappearing Job, But a Ladder to Climb
In fact, demand is surging