Modern applications are often complex, distributed systems. Debugging them is not fun: you have to follow requests across services, logs get lost, and metrics are often hard to correlate. It's like looking for a needle in a haystack - except the haystack is on fire, and the needle keeps moving. This is where OpenTelemetry (OTel) can help.

I had a great time on The Cillers Podcast chatting about my journey in tech and hackathons! We talked about organizing hackathons at GitHub, how they foster creativity and collaboration, and their role in inspiring new product ideas. We also touched on boosting development speed with great tools and managing technical debt. Big thanks to the Cillers team for having me!

After more than a decade of writing software, I've read lots of opinions on how to write good software. Everyone loves to throw around rules and principles, so I'll do it too.

A few months ago I published a post titled "The Istio Service Mesh for People Who Have Stuff to Do". The post was well-received and it's now available on the Istio.io blog too.

I recently made a contribution to Istio, an open-source service mesh that simplifies managing microservices. In this post, I explain how Istio handles traffic routing, security with mTLS, and observability, making complex systems more resilient and efficient.

I recently read the books "Applied Machine Learning and AI for Engineers" and "Introducing MLOps", and I took some notes to make a quick summary of all the stuff packed into these books. In this post, I'm sharing my takeaways, from the basics of supervised and unsupervised learning to the more complex areas like deep learning and natural language processing, as well as the core ideas behind MLOps.