Your AWS Bill Is Mostly Data Transfer
EC2, S3, and data transfer costs scale with volume. Expanso processes data at the source - only clean, relevant data reaches your AWS services.
Why AWS Costs Keep Climbing
Data transfer, storage, and compute costs scale linearly with volume. Most of that volume delivers zero value.
Egress fees add up fast
$0.09/GB Adds Up
Cross-region transfers, VPC egress, and internet-bound data all incur charges. A single high-volume data pipeline can generate thousands in monthly transfer costs - most of it for data that gets filtered or dropped downstream.
S3 storage grows unchecked
Accumulating Without Cleanup
Raw logs, unprocessed telemetry, and duplicate data land in S3 buckets and stay forever. Storage costs compound monthly while lifecycle policies barely keep up with ingestion rates.
CloudWatch costs surprise you
Log Ingestion Is Expensive
CloudWatch Logs charges $0.50/GB for ingestion plus $0.03/GB for storage. Verbose application logging at scale can cost more than the compute instances generating those logs.
Filter Before It Leaves the VPC
Expanso processes data at the source - on your EC2 instances or EKS clusters. Data is filtered, transformed, and compressed before it crosses any network boundary.
How Expanso Cuts AWS Costs
Reduce spend across storage, compute, and data transfer
VPC egress reduction
Stop Paying for Transfers
Filter data before it leaves your VPC. Eliminate cross-region and internet-bound transfers for data that would be filtered or dropped downstream anyway.
S3 ingestion optimization
Less Data, Less Storage
Deduplicate, compress, and filter data before it lands in S3. Reduce storage volume 40-70% and accelerate downstream processing with cleaner data.
CloudWatch log filtering
Ingest Only What Matters
Classify application logs at the source. Forward errors and warnings to CloudWatch, aggregate INFO logs into summaries, drop DEBUG and TRACE entirely.
Kinesis stream optimization
Fewer Records, Lower Costs
Reduce the number of records hitting Kinesis Data Streams and Firehose. Fewer shards, lower PUT costs, and less downstream Lambda invocations.
Lambda cost reduction
Trigger Less, Save More
Pre-filter event streams so Lambda functions only trigger on relevant events. Reduce invocation counts and execution time for event-driven architectures.
Cross-account data control
Govern Multi-Account Flows
Apply consistent filtering policies across AWS accounts and regions. Centralize data governance without centralizing data movement.
Proven AWS Cost Reductions
Real savings from organizations running Expanso on AWS
Egress reduction for Fortune 500 retail chain with 1,300 stores
Annual savings from cloud warehouse cost optimization
AWS cost reduction for distributed drone imagery processing
Faster query performance by processing data where it lives
Real-World Impact
See how organizations cut AWS costs with upstream data control
Fortune 500: $358K to $211K/month
A Fortune 500 retail chain centralized 3.5 PB of store data in AWS, paying massive egress and compute costs. Expanso enabled processing queries where data lives, eliminating unnecessary data movement to the cloud.
Forestry: 89% AWS Cost Reduction
A forestry company ran batch processing pipelines for drone imagery across 8 field offices on AWS. Multi-day delays and frequent failures drove up costs. Expanso processed imagery locally before cloud upload.
Why Expanso for AWS
Runs on your infrastructure
Deploy on EC2, EKS, or ECS. Expanso runs where your data originates without adding new services or network hops.
Works with AWS services
Integrates with S3, Kinesis, CloudWatch, Lambda, and more. No changes to your existing AWS architecture.
No vendor lock-in
Expanso is infrastructure-agnostic. If you move workloads between clouds, your data pipelines move with you.
Free tier to prove ROI
Process up to 1TB/day for free. Run a proof of concept on your highest-cost data streams and measure actual savings.
Optimize Costs Across Your Stack
See how Expanso reduces costs for other platforms
Frequently Asked Questions
How does Expanso deploy on AWS?
Expanso runs as a lightweight agent on your EC2 instances, EKS pods, or ECS containers. It processes data at the source before it reaches S3, CloudWatch, Kinesis, or crosses any network boundary. No changes to your AWS architecture are required.
Will this affect my existing AWS services?
No. Expanso sits upstream of your AWS services. Data that passes through Expanso arrives at S3, CloudWatch, or Kinesis in the same format - just cleaner and smaller. Your downstream services, dashboards, and alerts continue working unchanged.
How does this compare to AWS Cost Explorer or Compute Optimizer?
AWS native tools optimize within AWS - right-sizing instances, reserved capacity, savings plans. Expanso reduces the data volume that drives costs. These approaches are complementary: use AWS tools for infrastructure optimization and Expanso for data volume optimization.
Can I target specific AWS services for cost reduction?
Yes. You can configure Expanso to target your highest-cost data flows. Most customers start with CloudWatch log filtering or S3 ingestion optimization, then expand to cross-region transfer reduction and Kinesis optimization.
What's the performance impact on my EC2 instances?
Minimal. Expanso is designed for high-throughput, low-overhead processing. It typically uses less than 2% CPU and 256MB RAM per instance. The cost of running Expanso is a fraction of the savings it generates.
Your AWS bill doesn't have to grow
Most AWS cost optimization starts with infrastructure. Start with the data instead - it's where the biggest savings are.