Most growing businesses don’t notice their cloud spend has gotten away from them until finance flags it. By then, the bill has six or twelve months of small decisions baked into it, made by different people for different reasons, none of them necessarily wrong at the time. Getting cloud cost control back is mostly a matter of going through that pile of decisions methodically and asking which ones still make sense.
Why cloud costs spiral during growth
The cloud was built to be elastic, which is great when you’re growing and a problem when nobody’s watching the bill. As a business adds people, projects, and tools, its cloud footprint grows with it and then keeps growing after the projects end and the tools get replaced.
Almost every audit we run turns up dev and staging environments left over from projects that wrapped a year ago and never got shut down. Underneath that, we usually find production instances sized for a peak day eighteen months ago, never resized after. And there’s almost always one workload that got moved off an on-prem rack so long ago that the people on the current team have built a kind of don’t-touch culture around it. Storage grows every year on top of all of it, because nobody owns the call to delete what’s no longer in use.
Then there’s data egress, which most CFOs don’t know to look for. Moving data between cloud regions, between providers, or out of a cloud service to an external vendor adds up faster than expected, and the line items don’t read “data movement” on the invoice. They read like the service the data was leaving.
After five years of decline, Flexera’s 2026 State of the Cloud Report shows wasted cloud spend ticked back up to 29%. That’s an average. The actual figure for any given environment depends on how much attention it’s been getting. It’s a useful reminder that drift compounds quickly when nobody’s looking.
Five levers that reduce cloud spending
Most cloud environments have the same five problems. Working through them takes a few weeks the first time and uncovers most of the waste.
- Right-size compute
Pull a month or two of actual CPU and memory data and compare it to what each workload is provisioned for. Most are sized for peak load and never adjusted. Drop the tier, watch performance for two weeks, and drop it again if there’s still headroom. - Use reserved instances and savings plans
If a workload will run steadily for the next year or three, pay for it on a commitment basis. AWS publishes savings of up to 72% versus on-demand pricing on Standard Reserved Instances. The math almost always works. The holdup is usually that nobody has gotten around to forecasting which workloads qualify as steady. - Schedule shutdowns and auto-scale
Dev, test, and staging environments don’t need to run nights and weekends. A scheduler that turns them off Friday evening and back on Monday morning roughly halves the cost. Production should auto-scale to actual demand, not the worst-case Tuesday. - Tier your storage
Hot data, files people are opening, belong on premium storage. Logs from two years ago and old backup snapshots don’t. Every major cloud provider offers automatic tiering, and most environments haven’t switched it on. - Consolidate overlapping tools
Pull a list of every cloud SaaS subscription the business pays for and walk through what each one does. You’ll usually find at least one that overlaps with another and can be canceled.
Cloud cost control comes from governance
At small and mid-sized businesses, cloud cost optimization stalls because nobody knows how much they are spending and on what. So when costs drift, no one notices until the variance is large enough to force someone to ask, and by then unpicking what changed takes days of work.
What works is appointing one person, usually whoever runs operations, IT, or finance, to own the monthly cloud number. The job is knowing what’s happening across the cloud accounts and having the authority to act on what they find. From there, the rest is plumbing. Tag every resource with the team and project that created it so when costs jump, you can tell where the jump came from. Review the bill monthly. Set spend alerts in each cloud account so a runaway process doesn’t become a 45-day surprise.
If your environment has been drifting for a while, a one-off audit will get you to a clear picture faster than trying to reconstruct it yourself.
When to bring in outside help
Most growing businesses hit a point where the cloud has outgrown the people who’ve been running it on the side. Someone in finance asks what the cloud costs by client or project, and the person who’d know goes away for an hour to find out. Infrastructure questions keep getting deferred to next quarter because nobody has time this quarter. The bill keeps outpacing headcount, and the explanations are fuzzy.
At that point, a cloud strategy partner for a growing business pays for itself fairly quickly, but pick one carefully. The right partner gives you real visibility into where every dollar goes, not a dashboard you have to interpret yourself. They take ownership of the monthly governance work, so it doesn’t keep landing on a team that doesn’t have time. And they’ll tell you when to retire a tool or switch vendors, even when doing so reduces what you’d be paying them.
For most growing businesses, cloud cost control becomes a board-level question well before the team is staffed to answer it internally. A vCIO arrangement is usually the most efficient way to bridge that, providing strategic IT oversight without the cost of a full-time hire.
Closing the loop
Cloud cost control is a worthwhile habit. The five levers above take a few weeks to work through the first time and a few hours every month to maintain afterward. Most businesses that have built that habit don’t talk about cloud costs in leadership meetings anymore, which is most of the goal.
If you’d like an honest read of your current cloud (what’s running, what it’s costing, what’s worth fixing first), BASE Solutions’ managed cloud services team does this kind of review for growing businesses across the DMV.
Frequently Asked Questions
What's the difference between Reserved Instances and Savings Plans?
Both work on the same idea: you commit to a level of usage for one or three years in exchange for a lower rate. Reserved Instances tie the commitment to a specific EC2 instance type and region. Savings Plans are more flexible; they apply across compute services, including Fargate and Lambda, and don’t lock you into one instance family. For most growing businesses, Savings Plans are the easier default unless you have a workload you’re certain won’t change.
Is it ever worth moving workloads off the cloud back to on-premises?
Sometimes. If a workload is steady and predictable and doesn’t need to scale up or down, your own hardware or co-located infrastructure can be cheaper than the cloud equivalent. Where this calculation usually goes wrong is in underestimating what it costs to staff the infrastructure, refresh hardware every few years, and handle outages yourself.
Do small businesses need a FinOps team?
Most don’t. FinOps as a formal practice makes sense once cloud spend hits the millions. Below that, what you need is one person whose job includes ownership of the monthly cloud number, plus a regular review habit. That role can sit in operations, finance, or with an outside partner.
