Cloud Cost Optimisation: Getting More From Your Infrastructure Investment

Cloud infrastructure, when managed well, reduces cost, improves resilience and gives organisations the flexibility to scale. When managed poorly, it does the opposite — costs grow faster than the business, infrastructure is over-provisioned, and the promised efficiency savings never materialise. Most cloud waste is structural rather than accidental, which means it is also fixable.

Where cloud waste typically occurs

In mid-market cloud environments, the most common sources of waste fall into four categories. The first is over-provisioning — instances and services sized for peak load that rarely materialises, running at 15 to 20 percent utilisation for most of the year. The second is orphaned resources — storage volumes, snapshots, load balancers and other services attached to workloads that no longer exist. The third is poor workload placement — applications running on compute instances when they would be cheaper and more efficient on serverless or container platforms. The fourth is unused licensing — software licences bundled into infrastructure costs that are not actually being used.

In a typical mid-market cloud environment, addressing these four categories alone can reduce monthly spend by 25 to 40 percent, with no reduction in performance or capability.

Right-sizing: the highest-return first step

Right-sizing is the process of matching compute resources to actual workload requirements rather than anticipated peak demand. Cloud provider tooling makes this straightforward — AWS Cost Explorer, Azure Advisor and Google Cloud Recommender all surface utilisation data and specific right-sizing recommendations.

The challenge is not identifying the opportunities. It is acting on them. Right-sizing requires coordination across the teams responsible for each workload, testing to confirm that reduced resources do not affect performance, and a governance process to prevent over-provisioning creeping back after the next deployment.

Building a cost governance model that sticks

Cost optimisation projects that are not supported by ongoing governance revert within six to twelve months. Engineering teams make deployment decisions based on speed and simplicity, not cost. Without clear ownership, approval processes for significant new resource commitments and regular review cycles, cloud spend drifts back upward.

An effective governance model does not need to be bureaucratic. It typically involves: tagging standards that attribute cost to business units and workloads; budget alerts that notify responsible teams when spend exceeds thresholds; a monthly review of the top twenty cost drivers; and a clear process for approving new workloads above a defined spend threshold.

If your cloud spend is growing faster than your business, or you want to understand where your infrastructure investment is and is not creating value, we can help you build a clear picture and a practical optimisation plan.