snowflake-synthetic

To set up Snowflake synthetic test data for telemetry dashboards, execute the synthetic setup workflow to create the DSOA_TEST_DB and per-plugin schemas using the test/tools/setup_test_<plugin>.sql scripts.

The best way to validate DSOA telemetry plugins before deployment is by using per-plugin test schemas under the DSOA_TEST_DB, ensuring environment independence by avoiding hard-coded production objects.

Yes, you can use Snowflake synthetic data to isolate QA environments for observability testing by provisioning repeatable setup scripts that validate dashboards and telemetry in isolated schemas.

Yes, a documented test-tools workflow is required to maintain synthetic data environments, providing the repeatable setup scripts needed to provision and validate DSOA telemetry dashboards.

You should avoid hard-coded production objects when testing telemetry dashboards to ensure environment independence, allowing QA and development workflows to validate DSOA telemetry in isolated schemas.

You need to provision per-plugin test schemas in Snowflake during QA and development workflows when synthetic data is required to test plugins and dashboards before DSOA deployment.