Backend

Building distributed systems has taught me more about philosophy than any book ever could. When you’re designing systems that must coordinate across unreliable networks, you quickly encounter fundamental questions about truth, consensus, and the nature of communication itself.

The CAP Theorem as a Life Lesson

The CAP theorem states that distributed systems can only guarantee two of three properties: Consistency, Availability, and Partition tolerance. This isn’t just a technical constraint—it’s a fundamental truth about any system involving multiple independent actors.

I’ve been working with the team at Aurena in Austria since the beginning of 2021. It’s been a lot of fun, and interesting work.

The Journey with Aurena

Working with Aurena has been an exciting journey in helping them digitize their distribution process. As part of this effort, I built two microservices using Apollo Federation that form a critical part of their GraphQL API infrastructure.

Identifying Performance Issues

During development, we identified significant performance issues in our GraphQL API design. Using Elastic APM, we were able to analyze and pinpoint inefficient database queries that were impacting our API response times.