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Home/AWS Cost Optimization
AWS Cost Optimization

Stop overpaying for AWS infrastructure.

AWS bills usually come from many small decisions, not one obvious mistake. We look at EC2, RDS, EKS, S3, load balancers, NAT gateways, data transfer, and commitment coverage, then separate easy cleanup from changes that need real engineering.

Review my AWS billCloud cost overview

The plain version

Good AWS optimization is about matching resources to actual behavior. EC2 and RDS might be too large, EKS nodes may be half empty, EBS volumes can be forgotten, and NAT traffic can quietly become expensive. Discounts help, but only after the baseline is understood.

EC2 + RDS

first review targets

EKS

Kubernetes spend

FinOps

ongoing controls

When this is worth fixing

If these signs are familiar, it is time to clean it up

EC2 and RDS are oversized

Instances keep running with low CPU, memory, or connection usage.

Storage grows forever

EBS, snapshots, and S3 objects accumulate without lifecycle policies.

EKS nodes waste capacity

Pods request too much, nodes stay underused, and autoscaling is not tuned.

Commitments are missing

Stable workloads stay on on-demand pricing even when discounts would be safe.

What actually gets done

Not a slide deck that stops at recommendations.

We keep the work practical: enough analysis to avoid reckless changes, then implementation you can review, roll back, and hand over.

AWS Cost Explorer and usage review

EC2, RDS, EBS, S3, EKS, NAT gateway, and data transfer findings

Savings Plans and Reserved Instance coverage model

Autoscaling and scheduling recommendations

Tagging, budget alert, and account-level visibility plan

Implementation roadmap ordered by risk and savings impact

Process

Small steps. Clear rollback.

01

Analyze AWS spend

We inspect monthly trends, service split, linked accounts, regions, and workload ownership.

02

Find waste

We identify idle resources, oversized instances, storage leaks, and expensive traffic patterns.

03

Model commitments

We recommend Savings Plans or Reserved Instances only for stable usage that is safe to commit.

04

Implement controls

We apply changes carefully and leave dashboards that make AWS cost visible.

Related work

This usually connects to cloud cost work.

Cloud Cost Optimization

Lower AWS, Google Cloud, DigitalOcean, Kubernetes, and hybrid infrastructure spend without making reliability someone else's problem.

Open page

Google Cloud Cost Optimization

Tune GCE, Cloud SQL, GKE, Cloud Storage, networking, committed use discounts, autoscaling, and FinOps dashboards.

Open page

CI/CD Pipeline Implementation

Build CI/CD pipelines with GitHub Actions, GitLab CI, Tekton, Argo CD, Kubernetes deployment automation, testing, security checks, and rollback.

Open page

Frequently asked questions.

Which AWS services usually create the biggest waste?

EC2, RDS, EBS, EKS, NAT gateways, S3, and data transfer are common sources. The right order depends on your workload and account structure.

Are Savings Plans always a good idea?

No. They are good for stable usage, but risky when workloads are about to change. We model commitment coverage before recommending one.

Can you optimize EKS on AWS?

Yes. We tune requests, limits, node groups, autoscaling, storage, and observability so EKS capacity matches actual workload demand.

Can this be done with read-only access?

The assessment can be done with read-only billing and usage access. Implementation needs change access only when you ask us to apply the plan.

Bring the setup you have. It does not need to be tidy.

Send a short brief: provider, app shape, bill or release pain, and what you want to fix. We will reply with sensible first steps.

Review my AWS billContact 8grams