Cloud Costs, AWS

How to Optimize Cloud Usage Across Dev, Staging, and Prod to Cut Waste Without Slowing Down the Team

Non-production environments typically account for 20–40% of cloud spend but are rarely committed or actively governed Dev, staging, and production require different optimization tactics — blanket policies create unnecessary friction Automatic scheduling, rightsizing standards, and expiration policies are the highest-leverage levers for dev environments Semi-permanent staging environments are strong commitment candidates — short-term discount instruments capture savings without lock-in risk Tagging, showback reporting, and unit economics visibility are foundational to sustained multi-environment optimization

AWS

KPIs to Evaluate your Cloud Cost Management Strategy

There are many KPIs teams teams can choose to track and analyze, but the question remains - which KPIs are the most important?

Cloud Costs

Cloud Commitments, Explained by a Guy Who's Been Pay-As-You-Go for 17 Years

On-demand cloud pricing is a premium you pay for flexibility. At scale, it compounds fast. Commitments can save you north of 80%, but the lock-in risk is real. Cloud providers want you to commit because they need guaranteed revenue to finance data centers. The discounts aren't generosity, they're a business model. Archera insures your commitments: get the three-year rate, but if your usage drops, we pay back the difference. AWS, Azure, and GCP all sell it through their own marketplaces. In 2026, GPU commitments aren't just about saving money, they're often the only way to get capacity at all.