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

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

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"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

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"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

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"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:

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

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"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.

Delve 6: Let's Build a Modern ML Microservice Application - Part 1

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"The beginning is the most important part of the work." - Plato

A New Year, A New Start

Hello data delvers! Happy New Year! I hope you all have been well! It's been some time since our last delve (sorry!) but I want to kick off 2025 with a new series of delves I've been wanting to do for some time, building out an ML application using modern microservices principles.

In this multi-part series we'll focus on the tools, techniques, and strategies I use to bring ML applications to life in a maintainable, scalable, and extendable way. If that sounds of interest to you, put on your delving gear and join me as we go deep into the depths of the labyrinth!

Delve 5: The Quest for a Full Screen Raspberry Pi Application

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"All life is problem solving." - Karl Popper

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

Hello data delvers! Apologies for the lack of updates, life has been busy! For today I have a quick delve on a frustrating problem I had to solve, longer delves are on the way!

Like I'm sure many of you, I greatly enjoy doing side projects on the Raspberry Pi mini computer. If you've read my previous delve, you'll know there are lots of fun utilities you can run on a linux machine. One such application I like to use my Raspberry Pi for is to stream music from web services such as Spotify to my television and then use an audio visualizer like those covered in my previous delve to provide a visual.

Delve 3: Fun Linux Utilities

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"People rarely succeed unless they have fun in what they are doing" - Dale Carnegie

*nix the Workhorse of MLOps

Welcome to 2024 data delvers! I hope you had a wonderful holiday season! As we enter into the new year I'd like wanted to take some time to talk about things that make my day to day as a developer fun! As I hope to get into in future delves, for many reasons I prefer a nix (Unix or Linux) based environment for doing development. Many people use MacOS as their nix environment of choice, however my preferred method of achieving this in recent years has been the Windows Subsystem for Linux (WSL). It is super easy to set up on any modern windows machine, integrates very nicely with my IDE of choice, Visual Studio Code, and avoids many of the dangers associated with partitioning your hard drive to dual-boot your machine with multiple operating systems. As a bonus, when working with cloud providers you are almost always deploying your model on a Linux server, so mirroring that same environment on your dev machine makes everything that much smoother.