The cloud promised agility, scalability and relief from the maintenance demands of on-premises infrastructure. It delivered. But it also brought something few organisations anticipated: Monthly bills that quietly spiral beyond the budget. For many, the bigger shock is how much of it is simply wasted. Organisations routinely pay for idle resources, over-provisioned instances, forgotten storage buckets and legacy services that have long outlived their purpose.
According to a VMware report, nearly half of IT decision-makers believe their organisation wastes over 25% of its cloud spend, with 31% estimating that waste exceeds 50%. Consider this: global cloud infrastructure revenues reached $419 billion in 2025. Simple maths reveals that at minimum, $104.75 billion was wasted last year alone. With the market accelerating by 35% in Q1 2026 and on track to fly past $500 billion this year, that financial drain is only intensifying.
This highlights the dark side of the cloud’s defining feature: elasticity. Without strict discipline, elasticity easily stretches budgets to breaking point.
So, what’s the solution? Effective cloud cost management, which unlocks the capital needed to fund the initiatives that actually matter.
Framework for cloud cost optimisation
Successful cloud cost management relies on a continuous lifecycle: inform, optimise and operate. Each phase builds on the last, and this is how to put that cycle into motion:
- Gain total visibility with tagging
- Right-size your infrastructure
- Eliminate waste automatically
- Leverage strategic pricing models
- Cultivate a cost-conscious culture
You cannot optimise what you cannot see. The first step is establishing full visibility — across teams, projects, environments and services — into where cloud dollars are going.
Most major cloud providers offer native cost management tools. For example, AWS Cost Explorer, Microsoft Cost Management and Google Cloud’s Cost Management suite all provide dashboards with usage breakdowns and anomaly alerts. For organisations running multi-cloud environments, cloud-based spend management solutions can consolidate spend data across providers into a single view.
The goal at this stage is to understand. Tag resources consistently (by team, product or environment), set up budget alerts and identify the top drivers of cost. Patterns often emerge quickly: a development environment left running over the weekend, a data transfer cost no one knew existed, a legacy service quietly accruing charges.
Over-provisioning is one of the most common and costly cloud mistakes. Teams spin up large instances to handle peak load, then leave them running at 10% utilisation the rest of the time.
Rightsizing means matching resource allocation to actual workload requirements. Cloud providers and third-party tools can analyse usage patterns and recommend smaller or more appropriate instance types. AWS Compute Optimiser, for example, uses machine learning (ML) to surface rightsizing recommendations across Elastic Compute Cloud (EC2), Lambda, and Elastic Block Store (EBS) volumes.
Start with the highest-cost compute resources. Even modest downsizing — moving from a general-purpose instance to one better matched to the workload — can yield meaningful savings at scale.
The cloud should not run on a "set it and forget it" mindset. The most durable savings come from dynamic adjustments to usage, which is where building automation into infrastructure becomes essential.
Shut down non-production environments outside business hours. A development or staging environment running 24/7 costs three times more than one that runs only during working hours.
Set expiry policies on snapshots and backups. Storage costs accumulate silently. Automated lifecycle policies ensure there is no unnecessary spend on retaining data longer than required.
Delete unattached resources. Orphaned load balancers, unattached EBS volumes and unused Elastic IPs are easy to miss and easy to eliminate.
Tools like AWS Instance Scheduler or custom scripts via Lambda can automate start/stop schedules without requiring manual intervention.
On-demand pricing is convenient, but it is also the most expensive way to run steady-state workloads.
For predictable usage, committing to reserved instances (RIs) or savings plans can reduce costs by up to 72% compared to on-demand rates.
For interruptible jobs like batch processing or CI/CD pipelines, spot instances tap into a provider’s spare capacity at up to 90% less than on-demand rates — though they can be interrupted with short notice.
Use the right pricing model for each workload and reserve on-demand pricing for unexpected spikes.
Ultimately, the best tools and automation scripts will fail if the team’s culture does not shift. Cloud cost management is not a one-time project for the finance department; it is a shared responsibility.
This involves giving engineering teams visibility into the cost impact of their architectural decisions, setting team-level budgets and making cost a consideration during design reviews alongside performance and security. The practice, called FinOps (financial operations for the cloud), formalises this cross-functional accountability.
When developers can see that a single poorly optimised query is quietly burning, for example, $4,000 a month in unnecessary data transfer costs, behaviour changes. Visibility drives ownership, and ownership drives action.
Way ahead
Cloud cost optimisation is an ongoing discipline. The framework outlined here — visibility, rightsizing, automation, strategic pricing and cultural accountability — is not a checklist to be completed and filed away. Cloud environments evolve, workloads shift and new services are spun up constantly. Without active governance, costs will drift upward.
Cloud-based spend management solutions can provide the cross-team visibility and automation required to embed fiscal discipline into daily operations. The right tooling, paired with a collaborative culture, separates organisations that are blindsided by their cloud bills from those that command full control over them.
The cloud remains one of the most powerful levers available to modern businesses. The goal is to spend wisely, so that every dollar committed to cloud infrastructure is working as hard as the teams that depend on it.
How Infosys BPM can help
Cloud pricing is inherently complex, fragmented and multifaceted. When organisations navigate this landscape with limited visibility into their infrastructure, managing expenditures becomes an exercise in guesswork. The Infosys BPM CTEMS solution eliminates this blind spot. As a platform-agnostic framework, CTEMS aggregates and decodes intricate cloud spend data across multi-cloud environments. By leveraging advanced big data analytics, the solution translates raw, chaotic billing metrics into actionable, transparent insights.
When cloud expenditures are strategically managed and optimised, capital is liberated. The result is maximised infrastructure value and elevated business performance.
