/ Google Cloud Cost Evaluation

Measure what Google Cloudneeds to process

Run Expanso close to selected data sources, then compare downstream volume and Google Cloud spend against your existing baseline.

Baseline
Current Volume
Compare
Cloud Spend
Verify
Required Signals

/ The problem

Where Google Cloud data costs accumulate

Analytics scans, log ingestion, storage, and network transfer vary by service and workload.

Analytics scans

Measure Data Used

Identify records and fields that downstream queries actually need.

Log ingestion

Measure Signal

Separate operationally required events from candidates for filtering or aggregation.

Data transfer

Measure Movement

Map high-volume flows that cross regions or cloud boundaries.

/ The Expanso difference

Evaluate processing close to the source

Define a representative workflow, target connected nodes with labels, and measure outputs before changing production routing.

/ How it works

What to test

Use customer-owned baselines and acceptance criteria.

Source-side filtering

Selected Records

Test customer-defined filters and inspect each retained and rejected class.

Transformation

Selected Formats

Evaluate aggregation or format changes against downstream consumers.

Routing

Selected Destinations

Verify destination behavior and failure handling before broader deployment.

/ Outcomes

Customer-specific evaluation

Results depend on workload, policy, Google Cloud configuration, and service pricing.

Input

Record source volume, current destinations, and current cloud cost.

Output

Measure retained volume and validate downstream behavior.

Decision

Use observed results to decide whether and where to expand.

/ Why Expanso

Why evaluate Expanso for Google Cloud

Near-source execution

Run data-processing pipelines on connected nodes close to where data is generated.

Declarative jobs

Define jobs with YAML and target evaluation nodes with labels.

Measured rollout

Validate a representative flow before changing a wider production path.

/ Also optimize

Cost optimization across your stack

/ FAQ

Frequently asked questions

How much will we save?

There is no universal savings percentage. Establish a cost and volume baseline and calculate the observed effect using your own pricing.

What should we test first?

Choose one high-volume flow with clear downstream requirements and a reversible routing plan.

Will existing queries still work?

That must be verified during the evaluation against agreed query, dashboard, and data-retention criteria.

/ Ready to start?

Bring a Google Cloud workloadand its baseline

We’ll help define a bounded evaluation with customer-specific measurements.

No credit card required
Deploy in 15 minutes
Free tier up to 5 nodes