TRADITIONAL OPTIMIZATION TOOL
CPU utilization28%
Recommendation
Downsize node
Potential saving$480/month! Missing workload context
KUBERNETES EFFICIENCY ENGINEERING
Cut Kubernetes costs.
Not production reliability.
Cost tools tell you what might save money. We determine what is actually safe — then engineer the change.
✓ AWS + EKS context✓ Production-first engineering
LIVE CLUSTER ANALYZING
01 / WASTE DETECTEDLow utilization ≠ safe to downsize.
node-01READY
capacity72%
node-02READY
capacity61%
node-03READY
capacity29%
EFFICIENCY ENGINEchecking HPA · affinity · headroom
INFRASTRUCTURE HEALTH92 / 100
Production safety Reviewing
Idle capacity29%AWAITING REVIEW
THE REAL PROBLEM
Your cloud bill isn't the whole problem.
Infrastructure can look underutilized and still have no safe scheduling headroom. Changing capacity without understanding workload behavior is where cost-cutting becomes an incident.
Oversized Kubernetes requestsBadly configured HPAIdle AWS resourcesExpensive storage & log retentionUnoptimized node groupsPoor Spot utilization
AGGRESSIVE CAPACITY CUTRISK DETECTED !
Pending podsOOMKillsIncreased latencyFailed autoscalingNode pressureProduction incidents
Saving money isn't useful if it makes your platform fragile.
THE DIFFERENCE
Recommendations are easy.
Safe optimization is hard.
A saving is only valuable if production remains healthy.
KUBEEFFICIENT ENGINEERING ANALYSIS
CPU28%Memory headroomLowHPA workloads3 activePeak traffic9 PM
Do not downsize yet.
- Right-size requests
- Adjust HPA behavior
- Add safe autoscaling capacity
- Validate peak behavior
- Then consolidate nodes
● Production-safe path identified
Detects waste → Determines whether it's safeLooks at metrics → Looks at architecture + trafficShows savings → Helps realize them safely
WHAT WE DO
Efficiency work, grounded in engineering.
Kubernetes Efficiency Assessment
Requests, limits, HPA, scheduling, node pools, Spot usage and the capacity behavior behind them.
↗AWS Infrastructure Cost Review
EC2, EBS, RDS/Aurora, NAT, load balancers, CloudWatch and OpenSearch—viewed in context.
↗Production Reliability Review
Headroom, scaling, HA, observability and failure paths assessed before capacity changes.
↗Infrastructure-as-Code Review
Terraform, Helm and GitOps configuration examined for repeatable, safe improvements.
↗Optimization Implementation
The engineering changes, rollout plan and production validation—not just a report.
↗HOW IT WORKS
A clear path from signal to safe change.
We keep the work practical: understand the system, identify the real constraints, and validate change in the environment that matters.
Discover
AWS, Kubernetes, Terraform and application architecture.
Measure
Cost, CPU, memory, traffic, storage and capacity.
Identify
Waste, reliability risks and optimization opportunities.
Engineer
Terraform and Kubernetes changes with a rollout plan.
Validate
Stability, performance, capacity and savings.
EXAMPLE ANALYSIS DEMONSTRATION ONLY
See the difference context makes.
This illustrative EKS review shows the type of questions that come before an optimization plan.
18nodes in
EKS cluster
EKS cluster
01
6 workloads over-request memory
02
4 workloads use inefficient HPA thresholds
03
3 nodes consistently underutilized
04
Spot possible for stateless workloads
✓
Potential opportunities identified.
Production-safe implementation plan created.
BUILT ON THE REAL STACK
Fluent where your infrastructure lives.
AWSKubernetesEKSTerraformDockerHelmArgo CDFluxPrometheusGrafanaOpenSearchGitHub ActionsJenkins
WHO THIS IS FOR
Built for teams running serious infrastructure.
For CTOs, engineering leaders and platform teams who need an informed path to lower cloud spend.
✓ AWS spend increasing every month✓ Kubernetes / EKS in production✓ Terraform and multiple environments✓ Autoscaled workloads✓ No dedicated FinOps engineering team
FOUNDER
Akshay Tyagi
Senior DevOps / Platform Engineer
KubeEfficient comes from hands-on production engineering: operating Kubernetes, planning infrastructure capacity, diagnosing incidents, and making cloud systems more efficient without losing the reliability teams depend on.
Connect on LinkedIn ↗START WITH CLARITY
Find where infrastructure is wasting money — without putting production at risk.
Bring the context. We'll help find the safe path forward.