Developer Operations related blogposts

The ultimate guide to using uv package manager inside Docker

My previous article recommended that one should reconsider using Python in production. However, there’s one category of use case where Python is the dominant option for running production workloads. And that’s data analysis and machine learning. Almost all bleeding-edge work in data analysis and machine learning, especially around LLMs, happens in Python. ...

Google Domains A year back, I had to migrate my domain after Google decided to shut down Google Domains. I had to, not only, painfully setup multiple side-projects subdomain mappings again on a new domain registrar but also re-verify my domain and re-create those mappings on Google Cloud Run. Google Container Registry Google Container Registry is shutting down in 2025. It has been replaced with a new project called Artifact Registry. So, why is Container Registry being shut down? Probably because it 10X cheaper than Artifact Registry. ...

The ultimate guide to using Poetry inside Docker

If you create GitHub Actions via GitHub’s UI by going to the URL of the form `https://github.com///actions/new`, it provides templates for setting up the build. However, the template is broken. There are four problems with the default template

To use monorepo or not is an eternal debate. Each has its pros and cons. Let’s say you decide to go with monorepo, one major issue you will face over time is slow testing. Imagine a monorepo, consisting of an Android app, an iOS app, some backend code, some web frontend code. On only very few occasions will someone modify more than one of those simultaneously. Further, most of these projects confined to their directories would be using different build systems as well, for example, gradle for Android, yarn/npm for Javascript, go/rust/java/npm for the backend. The total build time and test time will only grow over time. It annoys developers making small modifications to their part of the codebase. And it slows down the development velocity drastically.

Update: As of Mar 2022, I recommend everyone to use GitHub Actions I maintain a somewhat popular Android developer tool ( adb-enhanced). The tool is written in Python, supporting both Python 2 and 3. Testing the tool requires both Python runtime as well a running Android emulator. I, initially, used Travis CI for setting up continuous testing of this tool. Later, I felt that Travis CI was too slow and when I came across Circle CI, I decided to give it a try. As of now, both Travis and Circle CI are used for testing. Here is what I learned from my experience.