Technology

Google Cloud Testing& Development

On GCP the Testing question is usually as much about data as compute. BigQuery reconciliation, pipeline correctness and environment parity sit alongside the usual scaling and failover work, which is why our [ETL and data warehouse Testing](/services/quality-engineering/etl-data-testing) practice and our cloud work overlap here more than on other platforms.

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GCP environments, BigQuery data and pipeline validation

BigQuery reconciliation and data quality assertions

Environment parity and configuration drift detection

Scaling and failover behaviour under load

Pipeline validation wired into Cloud Build or your CI of choice

Questions

Frequently Asked Questions

Straight answers, written the way we'd say them on a call.

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16+

Years QA leadership

The founder's enterprise QA career across OTT, SaaS, e-commerce and regulated utilities. Not a team total.

17

Testing disciplines

Each one has its own page, scope and deliverables. Counted from that list, never typed by hand.

6

Markets served

Availability, not delivery history. Each market's page says plainly where we have clients and where we do not.

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Business day to reply

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