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ORBITRONOPS

Cloud Cost Optimization & FinOps

Make cloud costs visible, measurable and actionable.

Cloud spend is an engineering problem as much as a financial one. We make costs attributable, find structural waste and build the governance that keeps it from returning.

Optimize Your Cloud Costs What we do
cloud-cost-optimization.topology live topology
  1. 01Billing Data
  2. 02Allocation & Tagging
  3. 03Visibility
  4. 04Optimization
  5. 05Governance
  6. 06Engineering Ownership
A FinOps loop that keeps costs under control.

The problem

What's actually going wrong.

● SYMPTOM

Nobody knows who spends what

Costs aren't tagged or allocated, so no team owns them.

● SYMPTOM

Idle and oversized resources

Instances, volumes and clusters provisioned for peaks that never came.

● SYMPTOM

Kubernetes hides cost

Shared clusters make per-team and per-service cost opaque.

● SYMPTOM

AI spend arrives fast

GPU and inference costs grow faster than any other line item.

What we do

Cloud Cost Optimization & FinOps capabilities.

Cloud cost analysis

Breakdown of spend by service, team, environment and workload.

Resource optimization

Right-sizing, commitments, spot capacity and lifecycle policies.

Kubernetes cost optimization

Request tuning, bin-packing, autoscaling and cost allocation.

AI infrastructure cost

GPU utilization, inference efficiency and capacity planning.

Architecture optimization

Structural changes that reduce cost without hurting reliability.

FinOps governance

Tagging standards, budgets, alerts and engineering ownership.

Technical capabilities

Technologies and practices.

Examples of tools we work with. Listed as capabilities, not certifications or partnerships.

  • AWS Cost Explorer
  • GCP Billing
  • Azure Cost Management
  • OpenCost
  • Kubecost
  • Karpenter
  • Terraform

Outcomes

What changes.

  • Cost visibility

    Spend attributed to the teams and services that create it.

  • Reduced waste

    Idle and oversized resources identified and addressed.

  • Sustainable governance

    Guardrails that prevent costs from creeping back.

How we engage

Assessment → Architecture → Implementation → Enablement.

  1. 01

    Discover

    Understand the architecture, constraints and engineering bottlenecks.

  2. 02

    Architect

    Define the target architecture and implementation roadmap.

  3. 03

    Build

    Implement infrastructure, automation, platforms and reliability improvements.

  4. 04

    Enable

    Transfer knowledge and create sustainable engineering practices.

FAQ

Common questions.

Related insights

Further reading.

FinOpsDRAFT · 8 min

Cloud Cost Optimization for Engineering Teams

Cost is an engineering metric. A practical approach to visibility, ownership and optimization.

Read
KubernetesDRAFT · 9 min

Kubernetes Cost Optimization

Requests, limits, bin-packing and autoscaling: where Kubernetes cost actually hides.

Read

Related services

Often combined with.

See case studies

Cloud Architecture

Cloud architecture designed for scale, reliability and cost.

Architecture reviews, modernization, migrations, security posture and reliability on AWS, GCP and Azure.

Explore Cloud Architecture

Kubernetes

Kubernetes without the operational chaos.

Cluster design, production readiness, security, scaling, GitOps and workload optimization.

Explore Kubernetes

AI Infrastructure

Build infrastructure your AI workloads can actually scale on.

GPU infrastructure, AI workloads on Kubernetes, model serving, inference, scheduling and optimization.

Explore AI Infrastructure

Talk to an Infrastructure Expert.

Tell us what you're building and where infrastructure is getting in the way. You'll talk directly to a senior engineer.

Optimize Your Cloud Costs Explore Our Services