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Discover
Spend analyzed across accounts, services and time, with utilization profiled against provisioned capacity.
Output: a cost baseline with waste identified by category.
Cloud Optimization
Manage your cloud costs as you grow
Identify waste, optimize infrastructure, and reduce unnecessary spending without compromising performance.
What Is Cloud Optimization?
Cloud optimization is the practice of reducing cloud spend without reducing capability. It covers cost attribution, resource rights-sizing, commitment management, and governance.
FinOps assigns shared accountability between engineering and finance, making cost a design decision throughout the build
What Cloud Waste Actually Looks Like
29%
Cloud infrastructure spend is wasted, a five-year high, and the first increase since 2022.
Flexera, 2026 State of the Cloud Report
40% / 35%
Over-provisioning and idle or underused resources, the two leading causes of wasted spend.
HashiCorp
85%
Organizations rank managing cloud spend as their top cloud challenge, ahead of security.
Flexera, 2026 State of the Cloud Report
Signs You Need Cloud Optimization
- Cloud Spend Outpacing Usage
- Costs With No Team or Product Attribution
- Resources Provisioned for Peak, Running Continuously
- Commitment Discounts Unmanaged
- AI and GPU Spend Without Governance
- Budget Variance Found After the Invoice
What Cloud Optimization Covers
Spend analysis across compute, storage, network and managed services, with remediation prioritized by saving against effort.
Cost allocation, tagging standards, show back and chargeback models, and the shared accountability framework between engineering, finance and product.
Instance, container and database sizing aligned to observed utilization rather than provisioning assumptions.
Query, application, and infrastructure tuning that reduces consumption while holding or improving response times.
Placement decisions across instance families, spot and reserved capacity, storage tiers and regions, based on workload characteristics.
Demand forecasting and commitment strategy, balancing reserved and on-demand capacity against projected growth.
Budget controls, anomaly detection, policy enforcement, and approval workflows applied at the account and organization level.
Architectural changes that reduce baseline consumption, including autoscaling, serverless adoption, and lifecycle policies for storage.
How We Reduce Cloud Spend
Cloud Optimization runs the Evolve stage of The Pivot.
Where the underlying architecture is the constraint, that work runs through Cloud Transformation & Migration.
What You Walk Away With
Cost visibility by team, product, and environment- Waste identified across workloads and resources
- Optimization recommendations with projected savings
- Budget controls and cost alerts
- Clear cost standards your team can maintain
- Measured savings with performance validated
Our Technology Landscape
Native cost tooling
- AWS Cost Explorer
- Azure Cost Management
- Google Cloud Billing
- AWS Compute Optimizer
FinOps platforms
- CloudHealth
- Cloudability
- Vantage
- Kubecost
- OpenCost
Infrastructure and policy
- Terraform
- Open Policy Agent
- AWS Organizations
- Azure Policy
Observability
- Datadog
- Grafana
- Prometheus
- CloudWatch
Common Questions
Most cloud environments have 20–30% avoidable waste. We assess your environment and give you a specific savings estimate before work begins.
No. We base changes on actual usage and validate performance before confirming them.
Not necessarily. Native cloud tools are sufficient for many environments; additional platforms become useful as cloud and allocation complexity grows.
AI workloads can be expensive and difficult to forecast, especially GPU and inference workloads. Better usage tracking and cost attribution can help identify where the spend is going.
Both. We reduce existing waste and put standards in place to help prevent it from returning.
Engineering and finance should share accountability. Engineering manages the decisions, while finance manages forecasting and planning.
Know Where the Money Goes
Spend attributed by team and workload, with a cost model to defend at the next budget review.
Book a cost review