We routinely cut clients’ AWS bills by 30–40% without touching a single feature or degrading performance. It is not magic, it is a repeatable FinOps framework that targets the five areas where cloud spend quietly leaks. Here is exactly how we do it.
What is FinOps?
FinOps (short for Financial Operations) is the practice of bringing financial accountability to cloud spending, making sure every dollar you spend on AWS or Azure is visible, justified and optimised. It is not about arbitrarily cutting costs; it is about eliminating waste while keeping the performance and reliability your business depends on. Done well, FinOps turns an unpredictable, ever-growing cloud bill into a controlled, forecastable line item.
The 5 areas we audit first
When we run a cost optimisation engagement, these five areas account for the overwhelming majority of savings, usually in this order of impact.
1. Reserved Instances & Savings Plans
Most companies run predictable, always-on workloads on full-price on-demand pricing. Committing those steady workloads to Reserved Instances or Savings Plans typically cuts their cost by 30–60% for the same compute. We analyse your usage patterns and commit only what is genuinely stable, so you capture the discount without over-committing.
2. Unused & orphaned resources
Every cloud environment accumulates waste: unattached storage volumes, idle load balancers, forgotten test environments, old snapshots, and elastic IPs sitting unused. Individually small, collectively significant. We inventory and safely remove this dead weight, often the single fastest win in the first week.
3. Storage tiering
Data that is rarely accessed does not belong in expensive hot storage. Moving cold data to cheaper tiers like S3 Infrequent Access or Glacier can cut storage costs dramatically for archives, backups and logs. We set lifecycle policies so this tiering happens automatically going forward.
4. Right-sizing
Instances are frequently provisioned far larger than the workload needs, a habit from the “just in case” days of physical servers. We measure actual CPU, memory and network utilisation, then right-size over-provisioned instances. Cutting an instance from an oversized tier to the correct one is pure saving with zero performance impact.
5. Data transfer costs
Data transfer, especially cross-region and cross-AZ traffic, and egress to the internet, is one of the least understood line items on an AWS bill. We map your traffic flows and re-architect the expensive paths, often by co-locating chatty services or using the right endpoints.
A real example (anonymized)
A UK-based SaaS company came to us with AWS spend that had grown 60% year-over-year with no cost governance. Reserved Instances were unused, storage was never tiered, and several EC2 instances were badly over-provisioned. We implemented a Cost Explorer tagging strategy, moved cold storage to S3 Glacier, right-sized 12 over-provisioned instances, and enforced cost policies through Terraform. The result: a 34% reduction in monthly AWS spend within 60 days, sustained through automated policy enforcement rather than one-off cleanup.
The tools we use
- AWS Cost Explorer & Cost and Usage Reports, to find where the money actually goes, broken down by service, team and tag.
- AWS Compute Optimizer, for data-driven right-sizing recommendations based on real utilisation.
- Terraform, to enforce cost policies as code, so savings do not erode over time as new resources are created.
- Tagging strategy, the foundation of all FinOps: without consistent tags, you cannot attribute or control spend.
Why one-off cleanups do not last
The biggest mistake we see is treating cost optimisation as a one-time project. Without governance, savings erode within months as new untagged, over-provisioned resources creep back in. That is why we enforce cost policies as code and set up ongoing monitoring, so your bill stays optimised, not just optimised once.
The bottom line
A 30–40% AWS cost reduction is realistic for most companies that have grown without cost governance, and it is achievable without sacrificing performance or reliability. The savings come from Reserved Instances, removing waste, storage tiering, right-sizing and fixing data transfer, then locking it in with automation. If you would like to know where your cloud bill is leaking, book a free assessment and we will identify your biggest savings opportunities in under 20 minutes.
Last updated: 1 July 2026 · Written by Momina Farooq, AWS Certified Solutions Architect, Azure AZ-500, Licensed Ethical Hacker.