The first savings
- Reservations and savings plans on the baseline
- Cleaning of forgotten resources
- Storage tiering and log pricing tiers
A pragmatic method, built over eight years of engagements in large enterprises: make costs visible, find the savings, get them applied, then make sure waste doesn't come back.
FinOps (Cloud Financial Operations) brings finance, IT and engineering teams together around one goal: spending right. We cover all three phases of the FinOps Foundation framework, and we add a fourth, essential one: staying in control over time.
The FinOps Foundation's FinOps Framework is the discipline's reference. It organizes FinOps into domains, the expected outcomes, and capabilities, the way to achieve them. Here is what we concretely deliver in each.
What we deliver
What we deliver
What we deliver
What we deliver
FinOps is a team sport. We act as the FinOps practitioner: we provide the tooling, run the practice, and connect every stakeholder.
Our FinOps scoring measures each business unit's maturity along the framework's stages and sets the next step. We don't aim for “Run” everywhere: we aim for the right level, where the financial stakes justify it.
Source: FinOps Framework, FinOps Foundation, licensed under CC BY 4.0. Domain and capability names are the framework's; the mapping to our deliverables is our own.
You can't optimize what you can't see. The first pillar is rigorous tagging linked to the CMDB, and a clear dashboard where application owners and budget holders see exactly what they consume. They are often the first to spot what's wrong.
Illustration. When non-prod costs more than prod, there are almost always environments running for nothing or oversized.
As few mandatory tags as possible. Depending on the client, a single tag is sometimes enough: it links the cloud to the CMDB, and every other piece of information lives in the CMDB.
app-codeCMDBowner · cost center · environment · criticalityWhen we arrived at one client, 35% of resources were untagged. Today, 99.9% are correctly tagged.
Our method wasn't written in an office. It was built over eight years of engagements in several large enterprises, each with its own organization and FinOps maturity. It has been challenged against the approaches of the big consulting firms, then enriched by the experience of other CAC 40 groups.
Recommendations applied in production and savings measured on the bill. We don't deliver a report that ends up in a drawer.
Centralized or decentralized organizations, with or without chargeback, just starting or already advanced: the approach adapts to each client's starting point.
The method has been tested against the approaches of the big consulting firms. We kept what delivers concrete results and dropped the rest.
It keeps improving through exchanges with other large groups, especially within the CRIP, the French community of infrastructure and operations leaders.
Finding a recommendation isn't enough: it has to be applied. A large part of our work is removing what blocks the path between the idea and production.
The orders of magnitude below come from our engagements. They apply to the optimized resource, not to the total bill.
For non-prod VMs and VDIs: automatic shutdown every evening, restart only when someone needs it. Why not a classic Stop/Start?
Commit for 1 or 3 years on the baseline. It's the key lever for prod, the fastest to put in place, and it doesn't touch the applications. See the strategy
VMs whose CPU and RAM stay below 50% (P95 over 30 days) move down one SKU. In the cloud, you size for today's need, since scaling up is easy.
Backup policy reviewed: retention matched to each environment and to the real need, long-term backups moved from the Cool to the Cold access tier. Storage cost is roughly halved.
Filtering so only the log types you need are collected, retention matched to the need, pricing tiers adjusted (Azure Monitor, Log Analytics, Sentinel). Costs can sometimes be divided by 4. See per-service work
Unattached disks, stale snapshots, Windows Server licenses paid twice: remove what's no longer used.
Before optimizing a service, we check it's the right one. A high-end managed service or a premium SKU picked "just in case" often costs far more than the real need. Sometimes a small tool built in two days, even faster today thanks to AI, replaces an expensive service for a fraction of the price. We cost both options, development and maintenance included, before recommending.
Take a non-prod VM costing €30 a day. With a Reserved Instance or a savings plan, it costs about 50% less. With a classic Stop/Start (scheduled shutdown in the evening, scheduled restart in the morning), you save 50 to 60%.
But the two don't stack: a reserved VM that is stopped keeps paying for its reservation. A classic Stop/Start takes a lot of effort for barely more than a simple reservation.
What makes the difference: an automatic Stop every evening and a Start on demand. The VM only restarts when someone needs it, and savings reach about 90%.
In prod, the VM runs continuously: reservations apply, not Stop/Start.
Our engagements take place in large international enterprises, on Azure and AWS, often over several years. Confidentiality is part of our job: we never publish client names or consumption data.
Optimizing what exists isn't enough: without guardrails, every new project recreates the waste you just removed. Our promise is to reduce your costs and, above all, to keep them under control. To do that, we set up FinOps governance that makes FinOps by design: standards, building blocks and checks built into projects. From then on, everything that lands in the cloud is optimized from the start.
The result: every new application complies from day one with FinOps recommendations, and the savings you achieved aren't lost on the next project.
Let's talk about your standardsA first 30-minute conversation to understand your context and see how we can help. No commitment.