Thoughts on software engineering, architecture, and technology trends from my experience building scalable systems.
Moving from 'events everywhere' chaos to reliable event-driven systems—lessons from hipages and VMware on dual writes, idempotency, sagas, and the patterns that separate working systems from distributed disasters.
How reactive API design leads to chaos—and the patterns we used at VMware and hipages to build consistent, maintainable interfaces across hundreds of microservices.
I'm all-in on AI dev tools: why they’re making engineers happier, faster, and better—and how everyone can level up with them.
Key insights and practical lessons from leading the transition of hipages' core platform from a monolithic service handling everything from job posting to tradie matching into scalable microservices.
How hipages eliminated database locks, race conditions, and scaling bottlenecks in our lead credit system—using the Actor Model, a pattern inspired by banks and fintechs.
How we built a flexible RBAC system with SSO integration for VMware's SD-WAN orchestrator, supporting multiple identity providers and complex enterprise requirements.
Essential patterns and practices for building cloud-native applications, drawn from experience with AWS, Azure, and Kubernetes deployments.
Practical strategies for scaling Node.js applications based on real-world experience at VMware's SD-WAN orchestrator, handling millions of requests daily.