Platform

Trunk-based development, pipelines, feature flags, and progressive deployment — shipping safely as a solved engineering problem.

From namespaces and images to the reconciliation loop — what containers actually are and how Kubernetes turns them into a platform.

Infrastructure as reviewable text — declarative state, the plan/apply loop, state management, and the drift problem.

Why a slow pipeline is usually floored by one unit rather than starved of workers — the runner's scheduling granularity, amortizing setup, and dividing jobs along an axis that makes the failure a diagnosis.

The provider-agnostic core — IAM, VPC networking, the compute spectrum, managed data services, and the cost model as a design input.

How a project gets the right toolchain onto a laptop, a CI runner and a colleague's machine — the version-manager, container and pinning layers, and how far up you need to go.

Metrics, logs, and traces; SLOs and error budgets; incident response — running systems as an engineering discipline.

saved external articles on platform topics.

multi-milestone build projects drilling the platform concepts.