/ Cost Optimization
Measure the cost of moving and processing every byte.
Expanso runs data-processing pipelines on connected nodes close to where data is generated. Run a bounded evaluation to see whether filtering, transforming, or routing data at the source changes what your workload costs.
/ Evaluation Method
Use your baseline, not a universal promise.
01
Establish the baseline
Record current source volume, destination behavior, workload cost, and required downstream outcomes.
02
Select a representative flow
Choose a bounded workload, explicit acceptance criteria, and a reversible routing plan.
03
Run near-source processing
Define the evaluation job with YAML and target connected nodes with labels.
04
Compare observed results
Measure retained volume, cost, performance, failure behavior, and downstream compatibility.
/ Platform Guides
Start with the destination you already operate.
AWS
Evaluate transfer, storage, and managed-service volume.
Open guide →Azure
Evaluate analytics, observability, storage, and regional flows.
Open guide →Google Cloud
Evaluate analytics scans, logging, storage, and data movement.
Open guide →Snowflake
Evaluate upstream volume against warehouse work and query utility.
Open guide →Databricks
Evaluate upstream volume against lakehouse jobs and data utility.
Open guide →Splunk
Evaluate log volume while protecting alert, search, and retention requirements.
Open guide →Kubernetes
Evaluate pod-level filtering against cluster compute and cross-cluster egress.
Open guide →