Cloud bills have a way of growing faster than engineering teams expect. Reserved instances, savings plans, right-sizing idle resources, and eliminating zombie infrastructure are the first levers most organisations pull — and they can yield 20–40 % savings with relatively modest effort.
More sophisticated approaches include adopting spot or preemptible instances for fault-tolerant workloads, implementing autoscaling policies tuned to real traffic patterns, and using FinOps practices to create shared accountability between engineering and finance.
Cloud cost optimisation is not a one-time project. It requires ongoing governance, tagging discipline, and regular architecture reviews as workloads evolve.