Control cloud expenditure and improve infrastructure efficiency
Eliminate wasted cloud expenditure, implement transparent unit economics, and automate resource rightsizing without sacrificing performance.
Unattached EBS volumes, zombie idle instances, over-provisioned memory buffers, and unallocated shared infrastructure costs.
Assess your organization's preparation before initiating services in Cloud Cost Optimization & FinOps:
Slash your cloud invoice by 25-45%. Eliminate idle waste while preserving performance.
Reduce avoidable cloud spending while preserving the performance and reliability your workloads require. We identify waste, review usage patterns, and prioritize cost-effective changes.
Slash AWS bills through reservation modeling, rightsizing, and automated idle resource cleanup.
Review AWS usage and billing to find savings opportunities across compute, storage, databases, networking, and other services. Recommendations are based on actual workload needs and trade-offs.
Optimize Azure spending with Savings Plans, Spot instance orchestration, and storage tiering.
Analyze Azure consumption and resource configuration to identify unnecessary spend and improve value. We review sizing, usage, storage, and applicable purchasing options.
Eliminate wasted Google Cloud spend through Committed Use Discounts and autoscaling tuning.
Review Google Cloud usage and costs to identify idle resources, inefficient configurations, and suitable savings options. We balance cost changes against performance and availability.
In-depth financial audit uncovering orphaned disks, over-provisioned VMs, and hidden egress fees.
Examine cloud bills, resource usage, and allocation practices to explain where money is being spent. You receive findings and a prioritized list of potential improvements.
Deconstruct complex cloud invoices into clear per-feature, per-team unit economic metrics.
Break down cloud charges by service, account, project, team, or other available dimensions. This helps explain spending patterns and identify unexpected increases.
Predict infrastructure expenditures accurately based on business growth and transaction volume.
Estimate future cloud spending using available usage, billing history, planned changes, and business assumptions. Forecasts help teams budget and prepare for growth.
Establish a collaborative FinOps practice connecting engineering decisions to business margins.
Establish practical ways for engineering, finance, and business teams to understand and manage cloud costs together. We help create visibility, ownership, forecasting, and continuous optimization practices.
Rightsize over-provisioned CPU and memory based on 30-day 95th-percentile utilization data.
Adjust virtual machines, containers, and other compute resources to better match real workload demand. The goal is to avoid paying for excess capacity without creating performance problems.
Automated scripts that detect and purge unattached disks, stale snapshots, and zombie instances.
Identify and safely remove or decommission cloud resources that are no longer needed. We validate ownership and dependencies before changes to reduce the risk of disrupting active workloads.
Transition infrequently accessed S3 and Blob data to archive tiers with automated lifecycle rules.
Reduce storage costs by reviewing capacity, access patterns, retention, lifecycle policies, and suitable storage tiers. We consider retrieval needs, durability, and performance before recommending changes.
Rightsize database instance classes, optimize IOPS, and eliminate idle multi-AZ staging costs.
Improve database spending by reviewing instance sizing, storage, query behavior, licensing, and usage patterns. Recommendations aim to preserve required performance and resilience.
Understand and reduce the cost of Kubernetes clusters and workloads. Proven engineering baselines with zero-downtime execution.
Understand and reduce the cost of Kubernetes clusters and workloads. We review resource requests, utilization, autoscaling, node pools, and workload placement.
Model and execute optimal Savings Plans and Reserved Instances to lock in up to 72% discounts.
Evaluate whether commitments, reservations, or provider savings plans could reduce costs for predictable usage. We compare potential savings with flexibility, utilization, and commitment risk.
Set spending budgets and notifications that help teams spot unexpected cost changes. Proven engineering baselines with zero-downtime execution.
Set spending budgets and notifications that help teams spot unexpected cost changes. Alerts improve visibility but do not necessarily stop resources or charges automatically.
Measure exact cloud infrastructure cost per active customer, API call, or transaction.
Measure infrastructure cost against a meaningful business unit, such as a customer, transaction, API request, or workload. These metrics help connect technical decisions to business profitability.
Organize cloud costs by project, product, team, environment, or customer using supported labels and billing structures. Proven engineering baselines with zero-downtime execution.
Organize cloud costs by project, product, team, environment, or customer using supported labels and billing structures. Better allocation helps clarify ownership and accountability.
Enforce budget caps, anomaly alerts, and Infracost pull request checks before code merges.
Create policies, roles, budgets, and review processes that help keep cloud spending visible and controlled. Governance aims to make cost-conscious decisions repeatable across teams.
Speak directly with a Principal Cloud Architect. We will review your infrastructure requirements and deliver a written Statement of Work.