
Table of Contents
By Khimananda Oli | Last reviewed: September 2026
AWS NAT Gateways are the most common source of unexpected networking spend because they charge both an hourly availability fee and a per-GB data processing rate. For teams running microservices, ETL jobs, or container clusters, these costs compound quickly and often go unnoticed until the monthly bill arrives. Cutting AWS NAT Gateway costs effectively requires distinguishing between traffic that truly needs outbound internet access and traffic destined for other AWS services, then routing each appropriately.
How do you identify which traffic is driving AWS NAT Gateway costs?
Before changing any architecture, you must quantify what is actually flowing through your NAT Gateway. Many teams assume all private subnet traffic requires NAT, but in practice, 40–80% of that traffic is often destined for S3, DynamoDB, Secrets Manager, or other AWS APIs that bypass NAT entirely when configured correctly. The first step in cutting AWS NAT Gateway costs is accurate attribution.
Enable VPC Flow Logs on the ENI associated with your NAT Gateway and ship them to CloudWatch Logs or S3. Query the logs using CloudWatch Logs Insights or Athena to group traffic by destination IP and port. Cross-reference this with your AWS cost optimization tactics to correlate volume spikes with specific workloads. In my experience auditing production environments, the top three offenders are almost always S3 uploads, CloudWatch Logs delivery, and package manager updates during container builds.
Use tagging and metrics to isolate workload-level spend
NAT Gateways themselves cannot be tagged per-workload, but you can tag the route tables and subnets that direct traffic to them. Combine this with CloudWatch metrics for NatGatewayBytesOutToDestination and NatGatewayBytesInFromDestination. Create a dashboard that overlays these metrics against your deployment timeline. If a new service launch correlates with a 3x increase in NAT bytes, you have found your next optimization target. This observability-first approach aligns with the principles in our guide on defining meaningful SLIs and SLOs for infrastructure.
When should you replace NAT Gateway with VPC endpoints?
VPC Endpoints are the single most effective lever for cutting AWS NAT Gateway costs when your traffic stays within the AWS ecosystem. There are two types, and confusing them leads to either overspending or broken connectivity.
- Gateway Endpoints (S3, DynamoDB): Free, no hourly charge, no data processing fee. These modify your route table directly and should be enabled in every VPC where private subnets access S3 or DynamoDB. There is zero reason to route S3 traffic through a NAT Gateway in 2026.
- Interface Endpoints (PrivateLink): Charged at $0.01/hour per AZ plus $0.01/GB processed. These create ENIs in your subnets and provide private DNS resolution for services like Secrets Manager, STS, SQS, SNS, KMS, and ECR. They are cheaper than NAT for moderate-volume AWS API traffic but can become expensive at very high throughput.
A common mistake is enabling Interface Endpoints without enabling Private DNS. Without it, your application still resolves the public endpoint and routes through NAT. Always verify DNS resolution after creation:
> nslookup secretsmanager.us-east-1.amazonaws.com
Non-authoritative answer:
Name: secretsmanager.us-east-1.amazonaws.com
Address: 10.0.1.45 <!-- Private IP confirms endpoint is active --> For EKS clusters pulling container images, an ECR Interface Endpoint eliminates massive NAT charges during deployments. A cluster with 20 nodes pulling 500MB images weekly can save $200–$400/month on NAT data fees alone. Refer to our Amazon EKS practical guide for the full endpoint configuration required for air-gapped clusters.
How does a self-managed NAT instance compare to AWS NAT Gateway?
When your outbound internet traffic exceeds 10TB/month, the per-GB processing charge of NAT Gateway ($0.045/GB in most regions) dominates the bill. At 10TB, that is $450 in processing fees alone, plus ~$32 in hourly charges. A self-managed NAT instance on a c6gn.large ($0.0864/hr) with enhanced networking can handle 10–15 Gbps of throughput for roughly $62/month total — a savings of over 85%. The trade-off is operational overhead: you manage patching, scaling, failover, and monitoring yourself.
| Criteria | AWS NAT Gateway | Self-Managed NAT Instance |
|---|---|---|
| Hourly cost (us-east-1) | $0.045 | $0.0864 (c6gn.large) |
| Data processing fee | $0.045/GB | $0.00 (standard EC2 network) |
| Burst throughput | Up to 100 Gbps | Depends on instance type |
| High availability | Built-in (per AZ) | Manual (ASG + failover script) |
| Maintenance burden | None | Patching, config, monitoring |
| Best for | < 1TB/month, low ops budget | > 10TB/month, engineering capacity |
Configure a reliable self-managed NAT instance
If you choose the self-managed path, use Amazon Linux 2023 or Ubuntu 24.04 LTS with source/destination checks disabled. Enable IP forwarding and configure iptables/nftables for masquerading. Place the instance in an Auto Scaling Group across two AZs with a Lambda-backed failover mechanism that reassigns the elastic IP on health check failure. Use the c6gn or m7i-flex families for best price/performance on network-intensive workloads. Always test failover under load before trusting it in production; I have seen teams discover their failover script had a 90-second gap only during their first real incident.
What architectural patterns prevent future NAT Gateway cost creep?
Optimization is not a one-time event. Without guardrails, new services will silently reintroduce NAT dependency. Embed these patterns into your infrastructure-as-code and team workflows.
- Default-deny NAT routing: Do not add a default route to NAT in private subnet route tables as a baseline. Require explicit justification and code review for any route table entry pointing to a NAT Gateway. This forces conscious decisions rather than inherited defaults.
- Terraform modules with mandatory endpoint parameters: Create a VPC module that requires a boolean flag for each AWS service your workloads use. If
enable_s3_gateway_endpointis false, the plan fails with a descriptive error. This encodes institutional knowledge about cutting AWS NAT Gateway costs directly into your IaC. - Container image caching at the VPC level: Deploy a pull-through cache rule in ECR or run a local registry mirror in your VPC. This prevents every node from fetching base images through NAT during rolling deployments. Combined with an ECR endpoint, this eliminates the largest burst contributor in Kubernetes environments.
- Centralized egress via Transit Gateway or shared-services VPC: For multi-VPC architectures, consolidate NAT into a single egress VPC. This reduces the number of NAT Gateways from N×AZs to just 2–3 total, simplifying management and enabling bulk discounts on reserved capacity if applicable.
Implement automated cost anomaly detection using AWS Cost Anomaly Detection or a custom Lambda that queries Cost Explorer daily. Set alerts specifically for the NatGateway usage type. When a spike triggers, your runbook should point directly to the VPC Flow Log query you validated earlier. This closes the feedback loop between architecture decisions and financial outcomes, ensuring that cutting AWS NAT Gateway costs becomes a sustained practice rather than a quarterly cleanup task.
Start optimizing your NAT Gateway spend today
Cutting AWS NAT Gateway costs is achievable with methodical analysis and the right architectural choices. Begin by auditing your current traffic with VPC Flow Logs, enable Gateway Endpoints for S3 and DynamoDB immediately, evaluate Interface Endpoints for high-volume AWS API calls, and only then consider self-managed instances for substantial internet-bound throughput. Each step delivers measurable savings without sacrificing reliability or security. If your team needs help designing a cost-efficient VPC architecture or validating your current setup against compliance requirements like SOC 2 or ISO 27001, reach out to discuss your infrastructure.