Governed query lifecycle
Governed query lifecycle across customer-controlled infrastructure
This walkthrough follows the governed analytics path from sign-in through persisted Parquet data, correlated audit records, and restart-stable query state.
Lifecycle summary
One governed lifecycle
The walkthrough shows policy-aware query execution, physical Parquet persistence, audit correlation, and successful query continuity after the query surface restarts.
Command path
How the walkthrough moves through the platform
- Enter through the browser product surfaces and establish identity context.
- Apply policy to the active request before governed SQL execution begins.
- Read and write governed analytical data through DuckDB and DuckLake into S3-compatible object storage.
- Correlate query activity with audit records inside the product surfaces.
- Restart the query surface and run the persisted query path again.
- Inspect the same lifecycle through operator-visible platform and governance state.
Observed signals
What operators can inspect in the run record
- Lifecycle scope
- Follow one governed query lifecycle from sign-in through SQL execution, scoped object access, audit correlation, and a successful query after query-surface restart.
- Platform boundary
- Customer-controlled Kubernetes, PostgreSQL-backed platform state, S3-compatible object storage, DuckDB execution, and DuckLake metadata.
- Entry surface
- The lifecycle starts at the browser product surfaces where identity and policy context attach to the active request.
- Storage signal
- A physical Parquet object appears under the governed data path as the lifecycle reaches object storage.
- Governance signal
- Queries align with audit evidence, and the admin surface exposes governance status for the active query process.
- Continuity signal
- The query returns successfully after the query-surface restart, confirming restart-stable access to the persisted dataset.
- Operator view
- Runtime state, governance signals, and persisted data behavior stay attached to the same platform story.
- What this walkthrough establishes
- Clarté keeps identity, policy, storage authority, audit, and operator visibility attached to the same analytical execution path.
Boundaries of this claim
What this walkthrough does and does not establish
- It is a product and governance demonstration on the named stack — Kubernetes, PostgreSQL, and S3-compatible object storage. It shows the governed lifecycle behaving as described.
- It is not a performance claim. Latency, throughput, and concurrency are measured per workload, in a workload evaluation, with the method disclosed.
- Your environment's specifics — identity provider, storage provider, policy shape — are verified against your own constraints during an evaluation, not assumed from this record.
Next step
Discuss a similar workload
If this lifecycle looks like the control model you need, the useful next step is to walk it against your own query shapes, roles, and deployment constraints.