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FinOps · AWS · Azure · Cost Reduction

Cut your cloud bill.
Without cutting performance.

Most growing companies overpay AWS or Azure by 25–40%. We identify exactly where the waste is and implement changes that save money without compromising reliability, performance, or developer experience.

40%
Average monthly savings achieved
90 days
Typical time to see full impact
0
Performance degradation
3x
ROI on engagement cost
What's Included

Everything you need, nothing you don't

Cloud Cost Audit

Deep analysis of your AWS Cost Explorer or Azure Cost Management data. We identify idle resources, over-provisioned instances, and unused services.

EC2 / VM Right-sizing

Memory and CPU utilization analysis across your fleet. Recommendations and implementation for right-sized instance types with matching performance.

Spot Instance Strategy

Identify workloads suitable for Spot/Preemptible instances. Implement interruption handling and mixed instance pools for up to 80% compute savings.

Reserved Instances & Savings Plans

Analysis of your steady-state workloads and recommendations for 1-year or 3-year commitments that maximize savings without over-committing.

Kubernetes Cost Optimization

Pod resource request/limit tuning, Karpenter consolidation, namespace-level cost allocation, and idle node detection.

Data Transfer Cost Reduction

Audit inter-region and internet data transfer. Implement VPC endpoints, CloudFront, and architecture changes to reduce transfer costs.

Storage Optimization

S3 Intelligent-Tiering, EBS snapshot lifecycle, RDS storage autoscaling, and orphaned EBS volume cleanup.

FinOps Culture & Tagging

Cost allocation tagging strategy, budget alerts per team/service, and dashboards so engineers see the cost impact of their infrastructure decisions.

How We Work

Our delivery process

01

Cost Audit (Week 1)

Pull 90 days of cost data. Analyze by service, account, region, and tag. Identify the top 20% of resources driving 80% of spend.

02

Quick Win Implementation

Terminate idle resources, apply Spot instances to suitable workloads, and right-size obviously over-provisioned instances — often saving 15% within 2 weeks.

03

Reserved Instance Planning

Model RI/Savings Plans scenarios against your actual usage patterns and recommend optimal commitment levels.

04

Architecture Optimization

For larger savings, implement architectural changes: Karpenter on Kubernetes, serverless for idle workloads, storage tiering.

05

Tagging & Accountability

Implement cost allocation tags, team-level budget alerts, and dashboards so savings are visible and sustained.

06

Ongoing FinOps

Monthly cost review, anomaly detection, and continuous optimization as your workloads evolve.

Technology Used

AWS Cost ExplorerAzure Cost ManagementKarpenterAWS Compute OptimizerKubecostInfracostGrafanaCloudWatchAWS BudgetsSpot by NetApp

Not sure where to start?
Let's talk.

One conversation, no commitment. We listen to what your team is struggling with and give you an honest picture of what needs to change — and what doesn't.

  • What's slowing down your team's deployment process
  • Where your cloud spend is going — and what's being wasted
  • Security vulnerabilities in your current setup
  • Reliability gaps that could cause downtime
  • Blind spots in your monitoring and alerting
Available for new projectsResponse within 1 business dayNo long-term commitment required
your-infra ~ after-omphora
$ terraform apply
✓ 23 resources. Apply complete in 4m 12s
$ kubectl get nodes
NAME STATUS ROLES AGE
ip-10-0-1 Ready worker 2d
ip-10-0-2 Ready worker 2d
ip-10-0-3 Ready worker 2d
$ argocd app list
production Synced Healthy
staging Synced Healthy
$ # Commit → production: 3m 42s
✓ Zero downtime · p99: 82ms · cost ↓ 38%
$ # Example output — results vary by workload.
3m 42s
Deploy time
38%
Cost saved
99.9%
Uptime