An Executive Guide to Cloud Cost Optimization

Cloud bills are growing faster than engineering headcount, and in most organisations, nobody owns the problem end-to-end. FinOps — the discipline of applying financial accountability to cloud infrastructure — has emerged as a critical capability for engineering leaders who want to move fast without burning money unnecessarily.

This guide covers the decisions that have the largest financial impact, in the order we recommend addressing them based on experience across dozens of cost-reduction engagements.

Right-Sizing: The Biggest Single Win

The majority of cloud waste comes from over-provisioned compute. Teams provision for peak load, peaks are rare, and the idle capacity runs 24/7 at full cost. A disciplined right-sizing exercise — matching instance types to actual utilisation data, not guesses — typically recovers 30–50% of compute spend without any architectural changes.

"The first question in any cloud cost review is not 'how do we optimise our architecture?' It is 'are we actually using what we're paying for?' The answer is almost always no."

Reserved Capacity and Savings Plans

For stable, predictable workloads, reserved instances and savings plans offer 40–70% discounts over on-demand pricing. The mistake most teams make is committing too broadly — buying a three-year reservation for a service whose requirements might change. Start with one-year commitments on your most stable, highest-spend workloads.

Spot instances and preemptible VMs are underused outside of batch processing. For stateless services, ML training jobs, and background processing pipelines, spot can cut compute costs by 70–90%. The engineering investment to handle interruption gracefully pays for itself within months.

Governance: Making Cost Visibility Permanent

Cost visibility without cost ownership is just dashboard theatre. The teams that sustain savings over time have tagged every resource to a team and product, have cost allocated to the engineering leaders who make the spending decisions, and review cloud spend as a standing agenda item in their engineering leadership meetings. Make the cost real and personal for the people with the power to change it.