A thought that had a big impact on me
The more I work in FinOps, the clearer it becomes: it’s not just about data. It’s about people, power, and context.
The more I work in FinOps, the clearer it becomes: it’s not just about data. It’s about people, power, and context.
Surrender to AI does not feel like giving up, it feels productive. But the moment you stop asking questions, you stop thinking. Curate, plan, question, and make sure the machine never stops asking back. That is how you stay human in FinOps and beyond.
Data isn’t useful until it becomes *your* data.
Forecasting shouldn’t be a black box. forecast_costs.py runs multiple models—SMA, Holt-Winters, ARIMA, NeuralProphet, and more—to show how each interprets your data. Vendor-neutral and simple, it helps you explore any time series with clarity, not just cloud costs.
The first FinOps Toolkit tool, cost_and_usage.py, was built for simplicity: one command, one CSV, two columns — date and number. It pulls AWS cost data with minimal permissions and zero dashboards, proving that FinOps clarity starts with small, local, human-readable data.
The FinOps Toolkit is a set of open-source scripts to explore, forecast, and explain cloud costs — no dashboards, no lock-in. Some tools are AWS-specific; others are vendor-neutral and forecast any number. Built on one idea: context is everything — start with context, end with clarity.
Old friends are easy to reconnect with. The same goes for old skills. This weekend I met an old university friend in Rome — and it made me realise how memory, trust, and context shape not just friendships, but how we work and learn. I wrote about it: Old Friends, Old Skills.
This is Learning and sharing, a brand new site by Frank Contrepois that's just getting started. Things will be up and running here shortly, but you can subscribe in the meantime if you'd like to stay up to date and receive emails when new content is