Updates, insights, and best practices for managing cloud and AI spend.
A single misconfigured service turned a predictable AWS bill into a $38,000 shock. Here's how it happened, why no one caught it, and the early signals that would have prevented it.
Read moreAWS Cost Explorer is a powerful investigation tool, but it's a terrible prevention tool. Here's why relying on dashboards leads to missed budgets — and what actually works.
Read moreStack Spend now supports Hugging Face. Track Inference Endpoints, Spaces, and Jobs—bringing open-source LLM costs into the same dashboard as OpenAI, Anthropic, and Cursor. One view for closed and open models.
Read moreUsage-based pricing makes API costs unpredictable. Here's a practical framework for forecasting OpenAI, Anthropic, and other API spend when your usage scales with your customers.
Read moreYour board doesn't want dashboards or spreadsheets. They want a clear narrative about infrastructure spend — are we on track, and where is the money going? Here's how to build that report.
Read moreCloud billing is structurally delayed. By the time you see your monthly invoice, the damage is done. Here's why this happens and how early signals can prevent costly surprises.
Read moreDashboards require attention and interpretation, which busy engineering leaders don't have. One daily judgment signal beats constant monitoring every time.
Read moreLightweight forecasting approaches for small to mid-sized teams. Learn baselines, trends, and confidence—without heavy finance processes.
Read moreToken-based and usage-based AI pricing is unpredictable. Learn why budgets fail and why forecasts and daily monitoring matter more than static limits.
Read moreThe difference between being "over budget" vs "at risk". Learn about pace, forecast, and days-to-risk in plain language.
Read moreMonthly budgets don't map well to daily-changing systems. Learn about rolling baselines, trend-aware budgets, and early warnings.
Read moreWhere signals are delivered matters as much as what they say. Learn why Slack beats dashboards and email for awareness—when done calmly.
Read moreChallenges the assumption that "more data = better decisions". Argues for sufficient visibility rather than total transparency.
Read moreClarifies that optimisation is an active, invasive process, while awareness is preventative. Positions StackSpend clearly on the awareness side.
Read moreA short, practical checklist of what a CTO should know each day—status, forecast, anomalies, and drivers. Naturally mirrors your daily report structure.
Read moreAI spend spikes fast. Static budgets and monthly reconciliation are too slow. Learn how daily alerts and anomaly detection catch AI cost problems early—before they become expensive.
Read moreCloud spend and AI spend used to be separate. Now they're intertwined. Learn why a single view of AWS, GCP, Azure, OpenAI, Anthropic, and GitHub matters—and how to get it.
Read moreWhen your LLM spend spans OpenAI, Anthropic, and Cursor, visibility fragments. Learn how to consolidate LLM cost tracking across providers and avoid budget surprises.
Read moreAI and LLM spend can spike without warning. Learn the five most common causes of AI cost overruns and the monitoring approach that prevents them.
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