Articles, case studies, and research from the iAastha team.
How we built a fintech platform processing millions in daily transactions in under 30 days—and the architectural decisions that made it possible.
Migrating production databases without taking your application offline. Strategies we use for clients handling millions of daily users.
A framework for deciding between engagement models based on your timeline, risk tolerance, and long-term hiring plans.
Why 90% of ML projects fail in production and how MLOps practices change the equation. Lessons from deploying AI for fintech and e-commerce clients.
The technical architecture behind anti-PBN programmatic SEO. How we build content systems that Google loves instead of penalizes.
A guide for VCs and founders on what makes a codebase investable. Red flags, green flags, and the questions that matter most.