A few months ago, I was mapping out the architecture for a heavy file-processing application. The...
A few months ago, I was mapping out the architecture for a heavy file-processing application. The traditional SaaS playbook was obvious:
User uploads a heavy file.
Store it in an AWS S3 bucket.
Spin up an EC2 instance or AWS Lambda function to process it.
Send the result back to the client.
The obsession with centralizing heavy compute on backend servers is a massive bottleneck for both...
Building SaaS tools usually means paying for server compute, especially when handling file processing...
A hands-on guide to migrating cloud workloads to WebAssembly in 2026 — with real performance numbers, migration stories, and…
I was spending $200/month on AI APIs. Now it's $60. Same quality, different approach.
Introduction Our team had been using CloudWatch Logs as the log storage layer for our...
Google Sheets recalculates cells twice as fast after shifting its compute engine to WebAssembly....
