Stop Overpaying for Kubernetes

Our AI agents analyze your resource allocation, utilization, and cloud spend - every recommendation comes with a dollar amount and a specific before/after YAML diff.

Duration: 5-10 days Team: 1 Senior K8s Consultant + AI Cost Agents

The Challenge

You might be experiencing...

Cloud bill growing 20-40% year-over-year but K8s workloads aren't growing that fast

No visibility into which teams, services, or namespaces are driving costs

Resource requests set once and never adjusted - most pods are 2-5x over-provisioned

Non-prod environments running 24/7 at production scale

For teams that want an independent audit of their FinOps tooling accuracy and cost governance process, finops.qa offers specialist FinOps QA consulting - applying QA methodology to cloud financial operations.

Our Approach

Engagement Phases

Days 1-2

Data Collection

Deploy cost visibility tooling. Export 30-day Prometheus metrics and cloud billing data. Map namespaces to teams.

Days 3-4

AI-Powered Analysis

AI agents analyze right-sizing opportunities, idle resources, spot eligibility, and reserved capacity gaps.

Day 5

Report & Roadmap

Deliver cost optimization report with per-namespace breakdown and week-by-week implementation plan.

What You Get

Deliverables

Cost optimization report with current spend vs. target

Per-namespace cost breakdown with waste percentage

Right-sizing recommendations per pod (before/after YAML)

Spot/preemptible instance strategy

Idle resource cleanup list with $ savings

Week-by-week implementation roadmap

FinOps tooling recommendations (Kubecost, VPA, Karpenter)

Expected Outcomes

Before & After

Metric	Before	After
Monthly K8s Spend	$48K/month	$28K/month (42% savings)
CPU Utilization	25-35%	60-75%
Cost Visibility	No namespace attribution	100% cost attribution
Resource Request Accuracy	20-30%	80%+

Technology

Tools We Use

Kubecost OpenCost Prometheus VPA Karpenter Claude Code Agents

Common Questions

Frequently Asked Questions

How much can we realistically save on Kubernetes costs?

Most organizations find 30-50% cost waste in their Kubernetes environments. Common savings come from right-sizing over-provisioned pods, eliminating idle resources, implementing spot instance strategies, and scheduling non-production environments. We provide exact dollar amounts per namespace.

How long does the cost optimization engagement take?

The engagement runs 5-10 days. Days 1-2 cover data collection and cost visibility tooling deployment, days 3-4 use AI agents to analyze right-sizing opportunities and spot eligibility, and day 5 delivers the cost optimization report with a week-by-week implementation plan.

Do you implement the changes or just provide recommendations?

We deliver actionable before/after YAML diffs for every right-sizing recommendation, plus a week-by-week implementation roadmap. We can also implement the changes directly if you prefer hands-on execution support.

Will cost optimization affect application performance?

No. Our AI agents analyze 30 days of Prometheus metrics to understand actual resource utilization patterns before recommending changes. Right-sizing recommendations maintain appropriate headroom for traffic spikes and include VPA configurations for ongoing auto-adjustment.

What ongoing cost management tools do you recommend?

We recommend Kubecost or OpenCost for cost visibility and attribution, VPA (Vertical Pod Autoscaler) for automated right-sizing, and Karpenter for intelligent node provisioning. These tools provide continuous cost optimization after the engagement ends.

Deep Dives

Production Guides From This Series

Get Started for Free

We would be happy to speak with you and arrange a free consultation with our Kubernetes Expert in Dubai, UAE. 30-minute call, actionable results in days.

Talk to an Expert