01
Bills growing faster than revenue
Cloud spend rising month after month from on-demand compute and unmanaged logs.
Runaway AWS and cloud infrastructure spending
AWS cost reduction audit and FinOps remediation
Find where your AWS money goes, then cut waste in order of value and risk: right-sizing, spot capacity, storage tiers, data transfer and commitment discounts.
Symptoms
Signs your platform has this problem
If several of these sound familiar, the plan below is where we would start.
02
Low CPU utilization
Large EC2 and RDS instances running around the clock for occasional peaks.
03
NAT gateway and data transfer charges
Cross-AZ and cross-region traffic, and NAT processing fees nobody budgeted for.
Remediation plan
How we fix it, step by step
Each phase ends with a measurement, so you can see what changed before the next one starts.
01
Cost allocation audit
Tagging resources and attributing spend to teams and services, so idle capacity becomes visible.
02
Right-sizing and spot
Right-sizing instances and moving interruptible workloads to spot capacity, for example with Karpenter on EKS.
03
Databases and storage
Right-sizing RDS, considering Aurora Serverless v2 for spiky loads, and moving cold S3 data to cheaper storage classes.
04
Commitments and governance
Buying Savings Plans for the steady baseline and setting up budget alerts.
Technical checklist
Remediation checklist
What we check before a change goes to production:
- Find unattached EBS volumes, idle Elastic IPs and stale RDS snapshots
- Move interruptible container workloads to spot capacity with interruption handling
- Add VPC gateway endpoints for S3 and DynamoDB to avoid NAT processing charges
- Size Savings Plans to the steady baseline, not to the peak
What we measure
We take a baseline first and report the same measurements after each change, from your own monitoring — evidence, not promised results.
- Monthly bill
- By service and team, before and after each change
- Utilization
- CPU and memory used vs provisioned, per workload
- Error rates
- Checked after every change, alongside latency
Related service
Cloud & DevOps
Cloud cost optimization, Kubernetes platforms, and CI/CD that make deploys boring — savings and reliability measured in your dashboards, not our deck.
Explore Cloud & DevOpsQuestions
Questions about this remediation
Karpenter launches right-sized instances directly for pending pods, packs pods tightly and can use spot capacity, which AWS prices well below on-demand.
Most changes can be made without downtime: we roll them out gradually (rolling or blue/green), watch error rates and latency, and keep a rollback ready for each step.
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Want an engineer to look at this with you?
Send us the symptoms and any metrics you have. We'll reply within one business day, set up a call and agree what to measure before anything changes.