Cloud cost management has become a first-class engineering concern as cloud spend scales. The organisations that manage cloud costs effectively do so with the same engineering rigour they apply to performance and reliability.
Reserved instances and savings plans
The biggest lever for reducing cloud compute costs is commitment: reserved instances (commit to a specific VM SKU for 1-3 years) or savings plans (commit to a spend level for 1-3 years) provide 40-70% discounts over on-demand pricing. The engineering discipline required: accurate workload forecasting, right-sizing before committing, and a process for converting on-demand usage to commitments as new workloads stabilise.
Spot and preemptible instances
Azure Spot VMs and AWS Spot Instances provide significant discounts (50-90% off on-demand) for workloads that can tolerate interruption. The pattern: run stateless, fault-tolerant workloads (batch jobs, CI/CD agents, development clusters) on spot capacity with fallback to on-demand or reserved instances when spot is interrupted. Kubernetes clusters with mixed node pools (spot user nodes, reserved system nodes) automate the fault-tolerant spot usage.
Right-sizing and waste elimination
Cloud waste surveys consistently find 25-35% of cloud spend is unused or over-provisioned resources. The right-sizing process: use cloud provider recommendations (AWS Compute Optimizer, Azure Advisor) to identify over-provisioned VMs, identify unused resources (unattached disks, idle load balancers, old snapshots), and right-size database instances based on actual utilisation rather than theoretical peak capacity.
FinOps as engineering culture
Cost optimisation cannot be outsourced to finance. The engineering team that owns a workload should own its cost. FinOps is the cultural and organisational practice of bringing financial accountability to cloud spending: cost allocation by team via tags, per-service cost metrics in team dashboards, engineers participating in monthly cost reviews. The FinOps Foundation was established in 2019; its adoption grew significantly through 2021 as cloud bills scaled.