Blog
Field notes on not overpaying for your stack
Practical guides on cloud costs, AI spend, and the FinOps habits that keep a bill from ever becoming a surprise.
Looking for a definition instead? See the Cloud & AI Cost Glossary.
Shopping for a tool? Read How to Choose a Cloud & AI Cost Monitoring Tool.
One Claude Model, Three Bills
One Claude model, sold by Anthropic, Amazon Bedrock and Google Vertex AI. The token rate is close. The invoice, surcharges and reports differ.
AI costsAI Coding Tools: What One Developer Really Costs
A seat price is the small number. See the three ways AI coding tools bill, a worked monthly figure per developer, and where the usage line shows up.
AI costsThinking Tokens: The Hidden Cost in AI Bills
Anthropic, OpenAI and Gemini bill hidden reasoning as output tokens. Learn where that cost hides, which usage field shows it, and how to cap it.
Cloud costsRead an AWS Bill in 20 Minutes
A guided walkthrough of the AWS Bill Analyzer's sample bill, section by section: the total, the spike, and what the numbers mean.
FinOpsThe Thirty-Minute Cost Review
The agenda, the attendees, the four numbers to open with, and the two decisions that make a monthly cost review worth running.
ObservabilityThe Monitoring Bill Nobody Budgets For
Datadog and CloudWatch bills grow apart from the infrastructure they watch. Host high-water marks, metric cardinality, and log ingest costs, explained.
AlertingCatching Runaway Spend Before the Invoice
Why invoices arrive late, which cost signals move first, what to check every day, and why one common schema makes alerting possible.
AI costsWhat Does Your AI Actually Cost?
Token pricing, input vs. output, caching, model choice, and batch processing. See why AI spend hides in most FinOps tools and how to bring it into view.
Cloud costsCut AWS Costs Without Slowing Down Engineering
Idle resources, rightsizing, commitments, storage tiering, and egress: the practical AWS cost levers that keep engineering fast.
FinOpsFinOps for Teams That Aren't Huge
What FinOps means, the crawl/walk/run maturity model, why attribution matters, and how a small team gets 80% of the value without a dedicated headcount.