Cloud-native is the new standard. Over 90% of organizations now use some form of cloud computing, according to O’Reilly. Yet as cloud adoption accelerates, so do the costs, catching many businesses off guard.
The assumption that cloud computing is inherently cost-effective has begun to unravel. Instead of predictable capital expenditures, organizations now face fluctuating operational costs. Poorly optimized workloads, hidden fees, and vendor lock-in have led to ballooning cloud bills. The rise of AI-driven workloads has only added to the financial strain.
Josson Paul Kalapparambath, Software Engineering Technical Leader at Cisco specializing in architecting scalable platforms and solutions, has seen these challenges play out across enterprises. He believes businesses need a more disciplined approach to cloud economics—one that treats cost optimization as a strategic priority rather than an afterthought.
Why Cloud Costs Are Spiraling Out of Control
The biggest shift companies often underestimate is moving from fixed, upfront infrastructure costs to variable, consumption-based billing. The cloud’s convenience makes it easy to deploy resources quickly, but that same ease can lead to waste.
A major culprit is over-provisioning. According to Gartner, nearly 30% of worldwide public cloud spending goes to waste. Many companies over-purchase compute capacity to prevent performance bottlenecks but fail to scale back when demand drops. Data egress fees—charged when transferring data across cloud regions or providers—can also become a hidden financial drain.
“There’s a misconception that moving to the cloud is a guaranteed cost-saving decision, but it’s highly situational,” says Kalapparambath. “Without constant optimization, cloud infrastructure can creep beyond your needs. Leaving unused compute instances running or mismanaging storage can easily cost millions annually for larger enterprises.”
One of the biggest mistakes, he notes, is treating cloud spending as a purely technical concern rather than a financial strategy. “Cloud costs need the same level of oversight and accountability as any other major business expense. If you’re not actively managing it, you’re almost certainly overpaying.”
A Smarter Approach to Cloud Economics
Cutting cloud costs doesn’t require abandoning the cloud, but it will require making sure the architecture is there to accommodate it. Simply lifting and shifting workloads from on-prem to the cloud without optimization is a recipe for waste.
One of the most effective ways to rein in cloud expenses is intelligent workload scheduling. By analyzing usage patterns and automating resource scaling, enterprises can ensure they’re only paying for what they actually need.
“Just by properly scheduling workloads and managing resource allocation, companies can address 30 to 40% of their cloud bill,” Kalapparambath explains. “Cloud providers offer optimization tools, but they don’t force you to use them. Don’t settle into default settings.”
Storage is another overlooked cost driver, and where the most common mistakes occur. Many companies store redundant or outdated data in high-performance environments without considering the financial impact. Implementing tiered storage—where frequently accessed data stays in premium storage while archival data moves to low-cost alternatives—can yield substantial savings.
“Storage is one of the easiest areas to optimize, which is why it’s the easiest to overlook,” Kalapparambath says. “Companies rarely assess how much of their data needs to be in those high-speed, high-cost storage environments, and smart data lifecycle management is a quick way to improve what you already have.”
Hybrid Cloud: A Strategic Cost Advantage
A common misconception is that moving everything to the cloud is the most cost-effective approach. In reality, a hybrid cloud strategy—where some workloads remain on-premise while others leverage cloud scalability—often delivers better financial and operational results.
By keeping resource-intensive workloads in on-premise data centers and using the cloud for burst capacity, global accessibility, or AI-driven workloads, companies can minimize costs while maximizing flexibility. This approach, explains Kalapparambath, is particularly beneficial for industries with high-performance computing needs, such as large-scale data analytics and networking.
“Choosing cloud and on-prem isn’t necessarily an either-or decision,” he advises. “Some workloads will always be more cost-effective on-prem, while others benefit from cloud elasticity. Make those distinctions early.”
Beyond cost savings, hybrid architectures offer security and compliance advantages. Keeping sensitive data on-premise reduces reliance on expensive cloud-based security solutions and limits exposure to costly data transfer fees.
The Future of Cost-Efficient Cloud Computing
Cloud computing isn’t going away, but the way companies manage their cloud investments must evolve. Businesses that take a passive approach to cloud spending will continue to face runaway costs.
“Utilizing cloud is a major financial commitment,” Kalapparambath says. “A data-driven approach to cloud economics is incredibly important. The tools to optimize spending already exist, but enterprises must actively right-size their resources and build architectures with cost awareness baked in.”
The companies that treat cloud management as an ongoing financial discipline will be the ones that reap the full benefits of cloud computing without the sticker shock.
