Failing Fast

TL;DR: Epistemic debt is what happens when you ship code you can’t explain.

TL;DR: AI can produce a lot, quickly.

Running AI models locally for coding is increasingly viable - but is it realistic for your setup?

Each interaction with an AI coding assistant carries costs that are not reflected in the subscription price.

I was recently invited to be a guest on the Day 2 Cloud podcast (part of the Packet Pushers network), that covers DevOps and cloud-ops topics.

Part 1: The Modern Observability Problem Part 2: OpenTelemetry, The Missing Ingredient In Part 1, we looked at the observability challenges for modern systems - microservices, composable architectures, event-driven, shared components - all that good stuff…

Part 1: The Modern Observability Problem Part 2: OpenTelemetry, The Missing Ingredient Debugging an application in a single process tends to be easy 💪 and most of what goes wrong with our monoliths will already be recorded as known problems, with standard…

A quick post to share a link to this interesting read about outsourcing and in-house capacity, which I can relate to working in public sector IT: ‘Charbonneau Loops’ and government IT contracting.

Microsoft commissioned me to write a three-part series to demonstrate how to construct a complete end-to-end GitOps workflow using Terraform plans, GitHub, GitHub Actions, and Azure.

If, like me, you’re moving between a number of environments for development, you may not always have access to Docker Desktop.