Insights
Engineering perspectives & technical deep dives
Insights from our engineering team on architecture, cloud infrastructure, AI/ML, and delivery practices.
Migrating Legacy Systems to Microservices: A Field Guide
Practical lessons from decomposing a monolithic banking platform into 50+ independently deployable services — including the patterns that worked, the ones that didn't, and how we maintained zero downtime throughout.
Building Production ML Pipelines That Actually Scale
How we reduced model deployment time from weeks to hours using automated pipelines, feature stores, and a robust model registry. Real patterns from serving predictions to 2M+ daily users.
Cloud Cost Optimization: Beyond Reserved Instances
A systematic approach to reducing cloud spend by 40% without compromising performance or reliability. Covers right-sizing, spot strategies, and architectural patterns that naturally reduce cost.
Zero-Downtime Database Migrations at Scale
How we migrated 2TB of financial data across database engines without any service interruption. Detailed walkthrough of the dual-write pattern, shadow reads, and automated verification.
Smart Contract Security: Lessons from 50+ Audits
Common vulnerability patterns we've found across DeFi protocols, NFT marketplaces, and tokenization platforms. A practical guide to writing secure Solidity code.
Designing HIPAA-Compliant Cloud Architecture
A reference architecture for healthcare applications on AWS and Azure that meets HIPAA requirements while maintaining developer velocity and operational simplicity.
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