MWAA Migration: Move Apache Airflow Without Relearning Lessons
An operator’s MWAA migration plan—what moves as‑is, what to redesign, exact checks, and a parallel‑run cutover with rollback. Use it in‑house or bring us in.
7 min read
Airflow DAGs
Airflow DAGs you trust at 3am
We build new Airflow DAGs from spec or harden the ones you already have — with retries, SLAs, smart sensors, and on-call routing baked in.
The work
Airflow is great when DAGs are written by someone who's been paged by one. We bring that scar tissue. Whether you're running MWAA, Astronomer, Composer, or self-hosted, we treat DAGs as production software with tests, code review, and clear ownership.
Outcomes
- Idempotent tasks with sensible retries — no more manual reruns
- SLA misses routed to the right Slack channel, not a graveyard mailbox
- Smart sensors and deferrable operators where they matter
- DAG-level + task-level observability
- Code review standards your team can hold each other to
What you get
- New DAGs delivered against your spec
- Audit of existing DAGs with prioritized fixes
- Shared operator/hook library for your stack
- On-call playbooks and runbooks
Further reading
All articles →Analytics Engineering Audit: Architecture, Process, and Team
A practitioner’s analytics engineering audit: scope, scoring rubric, concrete checks, and how to turn findings into a sequenced roadmap with owners.
6 min read
Airflow DAG Testing: Catch Breaks Before Deploy
A practitioner’s guide to testing Airflow DAGs so they don’t break the scheduler, the UI, or your downstream data. Concrete checks, code, and CI examples.
4 min read
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