AWS FinOps: the cost levers that actually move the needle
Five AWS services drive 80 percent of spend. Rightsizing, commitment discounts and storage tiering pull hardest, and the FinOps Agent automates the triage.
Practical, sourced guides to FinOps across the stack: AWS, Snowflake, Matillion, GitHub, Postgres and Power BI. Every guide covers what to measure, what to optimize, and what AI and LLM agents can do about it.
A dev team's GitHub bill has four parts: Actions, Copilot, Codespaces and Packages. AI agents multiply the Actions bill. The levers are runner and seat audits.
Matillion bills on pipeline credits and runners. The three levers are pipeline efficiency, runner right-sizing and scheduling. Maia AI adds a new cost line.
FinOps is the operating discipline for cloud and SaaS spend: three phases, 22 capabilities. AI agents now automate nearly half of them.
Running Postgres costs from $15 per month on RDS to tens of thousands self-managed. The three levers are right-sizing, storage tiering and connection pooling.
Power BI licensing is a maze of Pro seats, Premium and Fabric SKUs that can turn a $10 tool into a six-figure bill. The levers are license and capacity audits.
Snowflake bills are driven by compute credits, storage and serverless. Warehouse right-sizing, resource monitors and auto-suspend keep the bill predictable.
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