You are overspending 30-50% on cloud. Let us fix that.
Most scale-ups treat cloud costs as an engineering problem. It's a leadership problem. I audit your entire estate — AWS, Azure, GCP, or multi-cloud — implement FinOps practices at every level of your organisation, and put verified savings on your P&L. Clients typically see the first savings identified within a week and implementation underway within 30 days. This isn't about cutting corners. It's about stopping waste and redirecting spend towards growth.
Sound familiar?
“Oversized instances running xl when medium would do — and nobody knows who provisioned them”
“Idle resources: dev and staging environments running 24/7, orphaned volumes billing you monthly”
“No commitment discounts: paying on-demand rates for predictable, steady-state workloads”
“Architecture inefficiency: monoliths that should be serverless, or serverless that should be containerised”
“No cost visibility: engineering teams deploy freely but nobody owns the bill”
“Multi-cloud sprawl: workloads spread across providers with no clear rationale”
What this engagement looks like
Strategic
- →Detailed cloud cost report with line-item savings opportunities across all accounts
- →Prioritised action plan: quick wins first, then architectural changes with business cases
- →FinOps dashboard setup (CloudHealth, Kubecost, or native tools — matched to your stack)
- →Commitment strategy: reserved instances, savings plans, and spot instance opportunities
- →Ongoing governance playbook with team-level cost allocation and alerting
- →Projected 12-month savings model tied to your P&L
- →FinOps maturity roadmap: Crawl → Walk → Run — scoped to your team size and cloud estate
- →AWS vs Azure vs GCP cost tooling comparison — matched to your provider mix
Operational
- →Rightsizing analysis across compute, storage, and database resources
- →Idle resource identification and automated cleanup workflows
- →Reservation and savings plan purchasing recommendations
- →Tagging strategy implementation for cost allocation by team, project, and environment
- →Automated cost anomaly detection and alerting pipelines
- →Containerisation and serverless migration assessments where architecture savings justify the effort
- →Monthly cost review cadence with engineering and finance stakeholders
Cost reduction
Results identified
To implementation
Frequently asked questions
Savings are typically identified within the first week of the audit. Most quick-win actions — rightsizing, idle resource cleanup, commitment purchases — can be implemented within 2–3 weeks. Architectural changes take longer but usually deliver the largest savings over 3–6 months.
AWS, Azure, and GCP — including multi-cloud environments. I can also help you evaluate whether consolidating to fewer providers would reduce complexity and cost. Each provider has different native cost management tools, and I match the right tooling to your setup.
No. I only recommend changes that are safe to implement. Rightsizing is tested against actual usage data, not guessed. I never optimise cost at the expense of uptime or performance. Every recommendation includes a risk assessment and rollback plan.
Yes, read-only access to cost and usage data. I work within your security policies — including SSO, least-privilege IAM roles, and time-limited credentials. I never need write access to production infrastructure.
A comprehensive audit typically takes 2–3 weeks depending on the size and complexity of your estate. Single-cloud environments with fewer than 50 accounts can often be audited in under 2 weeks. Multi-cloud or enterprise estates with hundreds of accounts may take closer to 4 weeks.
Absolutely. Many of my clients run workloads across two or three providers. I evaluate each provider independently, then look at the overall picture — including whether consolidation, workload migration, or provider-specific pricing programmes could reduce total spend.
I use a Crawl–Walk–Run framework. Crawl: basic visibility, tagging, and cost allocation. Walk: automated alerting, team-level budgets, and commitment purchasing. Run: real-time optimisation, predictive modelling, and FinOps embedded into engineering culture. Most clients start at Crawl and reach Walk within 3 months.
I evaluate your needs and recommend the right tool for your stack. For AWS-heavy estates, AWS Cost Explorer and Compute Optimizer often suffice. For multi-cloud or Kubernetes environments, tools like CloudHealth, Kubecost, or Infracost may be more appropriate. I set up dashboards you can maintain after the engagement ends.