brtkwr.com

I needed to roll out the same GitHub Actions workflow change across a bunch of repositories.

I needed to track daily Twilio costs in a spreadsheet.

I wanted to pull data from a Google Sheet using curl and my existing gcloud credentials.

TLDR: Templating VPA minAllowed from deployment resource requests prevents VPA from reducing resources.

For four years I thought kubectl required gcloud auth login.

A few days ago I cleaned up 200GB from my Mac and deliberately kept my Claude Code history at 2.3GB.

I was updating my about page and wanted to add a timeline of places I’ve travelled to.

My Mac was close to 100% full. macOS was complaining and I couldn’t install updates.

I was setting up automated version bumps for a Python project using bumpver and uv.

We had a dedicated “bot” user account for GitHub automation - creating PRs, pushing commits, merging branches.

I’ve accumulated hundreds of Claude Code sessions and kept losing track of where I solved specific problems.

I’ve been using Neovim full-time for a couple of years now.

I’ve overhauled my Python development setup over the past year.

My Kubernetes workflow changed a lot this year.

This is Part 2 covering plugin development.

This guide covers deploying Magento 2.4.8 to Kubernetes with MariaDB and OpenSearch as sidecars.

I use git worktrees constantly for parallel development, but typing git worktree list, copying the path, and cd-ing got tedious.

My disk was filling up with old Docker images.

I was deploying a SvelteKit app to Cloudflare Pages and wanted to do it from the command line rather than connecting to GitHub.

I was doing planned maintenance on a Kubernetes cluster.

After installing gcloud, the gcloud command wasn’t found.

I was debugging why HTTPS requests to app.example.com were failing with certificate errors.

Using gh for PR work is much faster than the web UI, and allows staying in the terminal.

I started Advent of Code 2025.

I needed to check what was in a GCP secret to debug why an application wasn’t starting.

I left a container running over a long weekend and came back to find it had consumed 50GB of disk space with logs.

I needed to find my public IP to add it to a firewall allowlist. curl ifconfig.me That’s it.

At 2am, I got an alert: database disk usage at 85%.

I needed to connect to a Cloud SQL instance to debug a data issue.

I use Docker Compose for local multi-service environments because it keeps runtime config in one file and makes startup/teardown repeatable.

I needed to find all the places in our GitHub org that were using a deprecated GitHub Actions runner label.

I was debugging why a Kubernetes deployment wasn’t updating after merging a PR.

I needed to scrape property listings from a real estate site that heavily relied on JavaScript to load content.

I was setting up a new Python project with direnv to manage environment variables.

TLDR: I built gkecc to generate cost-optimised GKE ComputeClass specs from live pricing data.

TLDR: Start with default-src 'self' and add exceptions as needed.

I was getting warnings about pytest-asyncio decorators.

Pydantic v2 is a ground-up rewrite with a Rust core, and it shows - validation is noticeably faster.

I was evaluating Docusaurus as a replacement for our Redocly docs site.

FastAPI has a few defaults that make API services easier to maintain: request validation, typed contracts, and built-in docs.

GKE has four layers of autoscaling that work together: HPA, VPA, cluster autoscaler, and NAP.

I was setting up Sentry for a new Python service.

I was trying to figure out why my Helm chart wasn’t rendering correctly.

I’d been using HPAs for a while without really understanding them.

Pods were stuck in Pending and I couldn’t figure out why. kubectl describe showed “0/12 nodes are available: 12 node(s) had taint that the pod didn’t tolerate.”

I needed to search Cloud Logging for specific events from the command line.

I hadn’t run brew upgrade in a couple of months and suddenly gh started failing with cryptic errors.

I’d been working on a feature branch and accidentally committed a bug fix to it instead of main.

When sharing quick Python scripts, the old workflow is usually: create a venv, install dependencies, and document setup steps. uv run replaces that with a single command and script-local metadata.

TLDR: Certificate not ready?