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.
Building DAGs that survive production — idempotency, retries, SLAs, deferrable operators, and observability.
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.
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.
Delayed task starts? Follow this ordered diagnostic to find the real constraint in Airflow: parsing, scheduler loop, DB, executor path, pools, caps, mapping, or workers.
What to actually monitor in Airflow, with concrete queries, configs, and alert routing that find problems before users do—plus real data freshness checks.
A practitioner’s guide to running dbt from Airflow with model-level visibility. Compare Bash, dbt Cloud API, Cosmos, and Kubernetes—with real code and trade-offs.
Your DAG isn’t firing and the clock is ticking. Use this ordered decision tree—commands, log paths, and configs included—to isolate and fix the cause fast.
A practitioner comparison of MWAA, Astronomer, and Cloud Composer—with upgrade cadence, scaling, observability, pricing, and clear pick‑X‑if guidance.
Reliability-first Airflow guidance from production incidents: idempotency, retries, deferrable sensors, SLAs, secrets, CI tests, and MWAA/Astronomer/Composer nuances.
We maintain a small client roster on purpose. If we're the wrong fit, we'll say so — and usually we know somebody who isn't.