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This page is part of Truthound Orchestration 3.x.

Source repository: seadonggyun4/truthound-orchestration Upstream docs path: docs/prefect/rollout-playbooks.md Edit upstream page: Edit in orchestration

Prefect Rollout Playbooks

Most Prefect quality adoption happens in stages: ad hoc task, saved block, reusable flow, then deployment. This page turns that pattern into a deliberate rollout playbook.

Who This Is For

  • teams standardizing Prefect-based quality workflows
  • operators moving from experimentation to production
  • platform engineers defining rollout steps for new domains

When To Use It

Use this page when:

  • a successful prototype needs to become a shared pattern
  • the team is moving from ephemeral blocks to saved blocks
  • production rollout needs a checklist instead of ad hoc promotion

Prerequisites

  • at least one working Prefect quality flow or task
  • a supported compatibility tuple
  • a deployment target or work pool strategy

Minimal Quickstart

Start with a task-only flow:

from prefect import flow
from truthound_prefect import data_quality_check_task

@flow
async def validate_users(data):
    return await data_quality_check_task(
        data,
        rules=[{"column": "id", "check": "not_null"}],
    )

Promote to a reusable saved block when the configuration should be shared:

from truthound_prefect import DataQualityBlock

block = DataQualityBlock(engine_name="truthound")

Production Pattern

Recommended rollout ladder:

  1. ephemeral task-based proof of value
  2. saved DataQualityBlock for shared configuration
  3. create_quality_flow or quality_checked_flow for standard flow composition
  4. deployment into work pools and environment-specific automation

Checklist before promotion:

  • block configuration is explicit and reproducible
  • retry and cache policy are documented
  • result artifacts and notifications are wired
  • the flow is tested against representative input shapes

Failure Modes and Troubleshooting

Symptom Likely Cause What To Do
early flows are fast but production ones are confusing configuration drift between ephemeral and saved paths standardize on block-backed config before wide rollout
teams fork their own wrappers reusable flow factories were never formalized publish one blessed flow pattern
production incidents are hard to triage artifacts and notifications were added late wire them before general availability