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 Investment: From $15K 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
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

MetricBeforeAfter
Monthly K8s Spend$48K/month$28K/month (42% savings)
CPU Utilization25-35%60-75%
Cost VisibilityNo namespace attribution100% cost attribution
Resource Request Accuracy20-30%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.

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