Cloud bills creep upward through oversized instances, forgotten resources, and on-demand pricing for steady workloads. The fix is rarely a single switch; it is disciplined analysis followed by ongoing governance. We audit your spend, capture the quick wins, then put a lightweight FinOps practice in place so costs stay accountable rather than drifting back up after the first clean-up.
We start with a detailed analysis of your billing data, broken down by service, team, and environment, to see where money actually goes. The audit surfaces idle and orphaned resources, unattached storage volumes, oversized instances running at low utilisation, and old snapshots quietly accumulating charges. Untagged resources are flagged because you cannot govern what you cannot attribute. The output is a prioritised list of savings ranked by effort and impact, so you can act on the easy, high-value items immediately and plan the rest.
Many savings come from matching resources to real demand. We rightsize compute based on observed utilisation, move suitable workloads to cheaper instance families or to serverless where it fits, and apply storage lifecycle policies that tier or expire data automatically. Auto-scaling and scheduled shutdowns stop non-production environments billing around the clock. Where architecture allows, we replace self-managed components with managed services that cost less to operate. These changes reduce the bill without compromising performance, because they remove waste rather than capacity you need.
For workloads with predictable baseline usage, on-demand pricing is the most expensive option. We analyse usage patterns and recommend the right mix of Reserved Instances, Savings Plans, or committed-use discounts, balancing commitment term against flexibility so you are not locked into capacity you might outgrow. We model the break-even and projected savings before you commit, and stage purchases as confidence in the baseline grows. This converts steady, unavoidable spend into substantially lower rates without betting on usage you cannot predict.
One-off clean-ups erode unless cost becomes a shared habit. We establish a consistent tagging strategy so spend maps to teams and projects, set budgets with alerts that fire before overruns, and provide dashboards that make cost visible to engineers, not just finance. Lightweight review cadences keep optimisation continuous rather than reactive. The aim is a FinOps culture proportionate to your size, where teams see the cost of their choices and waste is caught early instead of discovered in next quarter's invoice.
It varies with how the environment was built, but unoptimised estates commonly hold meaningful waste in idle resources and on-demand pricing. We quantify the achievable saving in the audit before any commitment, so the figure is grounded in your actual usage rather than a generic promise.
No, when done properly. We remove waste, oversized instances, idle resources, and on-demand pricing for steady workloads, not the capacity your applications actually need. Rightsizing is based on observed utilisation, and we validate performance after each change to ensure headroom is preserved.
Only if bought blindly. We match commitment terms to confidence in your baseline, often favouring flexible Savings Plans, and stage purchases over time. We model break-even first, so you commit only to usage that is genuinely steady and predictable.
Plan and execute production-grade AWS migrations with secure landing zones and right-sized workloads.
Move Windows, SQL Server, and Microsoft 365 estates to Azure with identity-first governance.
Migrate data, analytics, and containerised apps to Google Cloud with BigQuery and GKE.
Deploy predictable, cost-effective hosting on DigitalOcean Droplets, managed databases, and App Platform.
Package applications into lean, reproducible Docker images with secure, multi-stage builds.
Run resilient, self-healing workloads on Kubernetes with autoscaling, Helm, and GitOps delivery.
Protect data and services with tested backups, defined RPO and RTO, and rehearsed failover.
Harden cloud estates with least-privilege identity, encryption, and continuous compliance monitoring.
Modernise ageing applications incrementally with the strangler-fig pattern and managed cloud services.
Move from costly managed platforms to a self-managed cloud setup your own team can run.
Move existing servers to the cloud quickly with rehost migration and minimal application change.
Contact our team and we will send the best implementation plan for your business.