Cloud bills grow quietly — an over-provisioned instance here, an idle test environment there, a forgotten snapshot policy everywhere. FinOps brings financial accountability to cloud spend without slowing teams down: right-sizing, reserved and spot capacity, automated idle-resource cleanup, and cost visibility pushed down to the teams actually generating the spend. Our FinOps engagements typically identify 20-40% in recoverable spend within the first 30 days.
Discuss Your ProjectRight-sizing, reserved capacity, and idle-resource cleanup typically recovered within 30 days.
Tagging and cost-allocation dashboards that give every team ownership of their own cloud spend.
Every optimisation is validated against performance and availability SLOs before it ships.
Full spend breakdown by service, team, and environment to find where the money actually goes.
Right-size and eliminate idle resources — typically the fastest, lowest-risk savings.
Reserved instances and savings plans sized against validated, steady-state usage.
Cost dashboards, alerts, and team ownership so savings compound rather than erode over time.
Cloud & DevOps
Faster releases, fewer incidents, and infrastructure that scales itself.
Cloud & DevOps
Version-controlled, reproducible infrastructure — no more snowflake servers.
Cloud & DevOps
Container orchestration and event-driven compute that scales to zero and beyond.
Common questions about our FinOps & Cloud Cost Optimisation service.
Most FinOps audits identify 20-40% in recoverable spend, concentrated in over-provisioned instances, unused reserved capacity, and idle resources left running after a project winds down. The exact figure depends on how mature your current cost practices already are.
No — every right-sizing or capacity change is validated against your existing performance and availability SLOs before it ships. We treat cost as one constraint among several, never the only one, and roll back anything that shows a negative reliability signal.
Both. A one-time audit typically pays for itself many times over in the first quarter, but cost drift returns without ongoing discipline. Most clients move to a monthly optimisation review once the initial audit is complete.
Kubernetes cost visibility is notoriously poor by default, since costs are shared across a cluster rather than attributed per-workload. We deploy tools like Kubecost to attribute spend to namespaces and teams, then tune bin-packing and cluster autoscaler settings to reduce waste from over-provisioned pods and idle nodes.
Ideally, individual engineering teams — with visibility into their own spend via tagging and dashboards — rather than a central team policing everyone else's budget after the fact. We help build this ownership model as part of the engagement, not just hand over a report.
Yes — we normalise cost data across AWS, Azure, and GCP into a single view, which is particularly valuable for organisations running workloads across more than one provider and currently reconciling three separate billing consoles manually.
Our team will scope your requirements and come back with a clear proposal within 48 hours.