Skip to content

2025

Delve 16: The Quest for a Full Screen Raspberry Pi Application - Part 2

Banner

"The only constant in life is change." - Heraclitus

Full Screen Applications on the Raspberry Pi, Why so Hard AGAIN?

Hello data delvers! I recently revisited my Raspberry Pi after a long hiatus. As part of this I made sure to update all the packages and OS to the latest version. If you've read my previous Raspberry Pi delve, you'll know that being able to make applications full screen isn't as straightforward as it should be. Much to my surprise, after updating everything my fullscreen keyboard shortcut broke! After spending some time internet sleuthing I'd like to share what the fix is with you all!

Delve 15: Let's Build a Modern ML Microservice Application - Part 8, The Orchestrator Service

Banner

"Only a small fraction of real-world ML systems is composed of the ML code... The required surrounding infrastructure is vast and complex." - Hidden Technical Debt in Machine Learning Systems, Sculley et al.

Machine Learning Services as a System

Greetings data delvers! In part seven of this series we finally deployed a model! For this part we'll examine how to utilize our model as part of a larger microservice ecosystem!

Delve 14: Reflections on a Job Quest

Banner

"Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work." - Steve Jobs

A New Chapter

Hello data delvers! I recently successfully wrapped up a journey to find a new job! Along the way, I had the opportunity to interview at several different companies, experience many different styles of interviews, and explore different types of roles. For this delve, I intend to distill some thoughts about this process and share some lessons learned in the hopes they may be useful to others either looking to break into this field or find their next opportunity within it. If that sounds of interest stick around!

Delve 13: Let's Build a Modern ML Microservice Application - Part 7, Model Tracking and APIs with MLFlow

Banner

"Machine learning models are only as good as their deployment strategy. An unused model is just a fancy equation." - Chat GPT

Reset and Rescope

Hello data delvers! In part six of this series we containerized our application, making it portable and easy to deploy. For this part we will take a step back. Introduce machine learning (finally!), and explore how we can begin to incorporate machine learning models into our microservice ecosystem!

Delve 12: Let's Build a Modern ML Microservice Application - Part 6, Containerization

Banner

"This containers revolution is changing the basic act of software consumption. It’s redefining this much more lightweight, portable unit, or atom, that is much easier to manage… It’s a gateway to dynamic management and dynamic systems." - Craig McLuckie

ML Microservices, Deployment through Docker

Hello data delvers! In part five of this series we added automated tests to our application to make it easier to catch bugs. In this part we'll cover packaging and deploying the app!

Delve 11: Let's Build a Modern ML Microservice Application - Part 5, Testing

Banner

"More than the act of testing, the act of designing tests is one of the best bug preventers known." - Boris Beizer

ML Microservices, Keep Calm and Run Your Tests

Hello data delvers! In part four of this series we refactored our application to include a configuration file to make it easy to switch configuration values per development environment. In this part we'll cover a critical element to building scalable systems: Testing.

Delve 10: Let's Build a Modern ML Microservice Application - Part 4, Configuration

Banner

"The measure of intelligence is the ability to change." - Albert Einstein

ML Microservices, The Great Env-scape

Hello data delvers! In part three of this series we refactored our application into three separate layers, allowing us to better separate concerns within our codebase. However, if we examine certain parts of our code we can still observe some brittleness:

  • in Meta
  • 10 min read

Delve 9: Migrating from Jekyll to Material for MkDocs

Banner

"Good tools make good work." - Unknown

From one Static Site to Another

Greetings data delvers! The sharper-eyed among you may have noticed that the website looks a little bit different now. No you aren't seeing things. I recently completely changed the backend of the site from Jekyll to Material for MkDocs. The process was overall pretty smooth but had some hiccups which I think are worth documenting. However, before we get into that, why the change in the first place?

Delve 7: Let's Build a Modern ML Microservice Application - Part 2, The Data Layer

Banner

"Data is not just the new oil, it's also the new soil." - David McCandless

ML Microservices, the Second

Hello data delvers! In part one of this series we left off creating a basic application that allowed us to search for a work by title in the Metropolitan Museum of Art's collection. We were able set up a basic project structure as well as the tooling we would need to get the project off the ground. In this second part, I'd like to focus on how we can reorganize our code to make it a bit easier to manage as the complexity of our application scales. However, to begin I'd like to take a slight detour and discussing debugging.