EC2 and RDS are oversized
Instances keep running with low CPU, memory, or connection usage.
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.
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
Instances keep running with low CPU, memory, or connection usage.
EBS, snapshots, and S3 objects accumulate without lifecycle policies.
Pods request too much, nodes stay underused, and autoscaling is not tuned.
Stable workloads stay on on-demand pricing even when discounts would be safe.
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
01
We inspect monthly trends, service split, linked accounts, regions, and workload ownership.
02
We identify idle resources, oversized instances, storage leaks, and expensive traffic patterns.
03
We recommend Savings Plans or Reserved Instances only for stable usage that is safe to commit.
04
We apply changes carefully and leave dashboards that make AWS cost visible.
EC2, RDS, EBS, EKS, NAT gateways, S3, and data transfer are common sources. The right order depends on your workload and account structure.
No. They are good for stable usage, but risky when workloads are about to change. We model commitment coverage before recommending one.
Yes. We tune requests, limits, node groups, autoscaling, storage, and observability so EKS capacity matches actual workload demand.
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.
Send a short brief: provider, app shape, bill or release pain, and what you want to fix. We will reply with sensible first steps.