Custom execution can unlock performance and flexibility. Without production standards, it can also increase incident risk.
Decision question
Is your custom execution path ready for production traffic now?
Checklist
- Ownership Named owners for planner, runtime behavior, and release decisions.
- Observability Metrics, logs, and traces tied to execution stages and failure points.
- Rollback Fast fallback path to prior execution strategy.
- Capacity limits Tested thresholds for concurrency, memory, and queue pressure.
- Data quality controls Guardrails for schema drift and invalid input behavior.
- Release gating Canary criteria, success thresholds, and automated abort rules.
- Runbook On-call procedures with known-failure signatures.
Recommendation
Do not ship production-critical workloads until all seven areas are explicit and validated.
KPI target example
- zero priority incidents in first 30 days post-rollout
- rollback execution under 10 minutes in simulation
- diagnosis time under 20 minutes for known failure classes
If multiple checklist areas are currently missing, start with a direct conversation with Stratorys.
Continue reading
Staged migration from warehouse to hybrid execution
How to introduce custom execution layers without a risky platform rewrite.
DataFusion anti-patterns after the POC
Why DataFusion pilots fail in production and how to get from POC to safe operation.
A minimal ADR format for platform teams
A lightweight decision record format that improves clarity without slowing you down.
Staged migration from warehouse to hybrid execution
How to introduce custom execution layers without a risky platform rewrite.
DataFusion anti-patterns after the POC
Why DataFusion pilots fail in production and how to get from POC to safe operation.
A minimal ADR format for platform teams
A lightweight decision record format that improves clarity without slowing you down.