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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.

I've been working with Terraform for a while now, and I've noticed that there are a few things that I keep telling people about. I thought it would be helpful to write a blog post about some of the most common questions I get asked and share some of the things I've learned along the way.

Photo-taking engineers, understanding how photos perform online can provide valuable insights into audience preferences and engagement. In this post, I'll walk you through a Python script I created to analyze the performance of my photos on Unsplash.