Rain Lag

How to turn invisible microservice dependencies into a tangible, traceable “thread map” using architecture diagrams, ports, and distributed tracing tools like Tempo and Kiali.

How paper-based “flight simulators” for software systems help teams rehearse catastrophic failures, strengthen incident response, and build resilient, always-on production environments.

How to build a physical ‘debugging lighthouse’ and ritual that cuts through abstraction, distraction, and chaos—so you can reliably solve your hardest hardware and software bugs.

Before you bolt one more feature onto a legacy system, treat your codebase like a city. Learn how zoning, infrastructure planning, and citizen involvement can guide safer, incremental refactors that make your software scalable, testable, and maintainable.

Explore how a physical “weather clock” for your workday can protect deep focus, make context switching more visible, and help developers plan around their real cognitive rhythms—before their coding day drifts off course.

How a simple physical greenhouse-and-plants metaphor can make technical debt visible, reshape how teams talk about legacy code, and turn refactoring into continuous gardening instead of painful big-bang cleanups.

Learn how to model and debug end‑to‑end latency using nothing more than paper timelines, a few measurements, and critical‑path thinking—before you crack open a profiler or trace viewer.

How to use a premortem-style, physical risk card deck to surface failures, social engineering threats, and deepfake risks before launch—and plug it into your engineering and simulation workflows for safer, higher‑ROI products.

How to design analog, escape-room-style incident simulations that turn scary production outages into engaging, low-risk practice for your engineering and ops teams.

How a physical metaphor—stacking paper branches into an “analog merge tower”—can help you understand, visualize, and ultimately tame complex Git histories shaped by email-era workflows and modern collaboration.