Airflow Scheduler Performance: Find the Bottleneck
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.
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 →Data Quality Audit That Produces a Fix List
A practitioner’s playbook to run a data quality audit across your highest-impact data products—and leave with a prioritized 30/60/90‑day remediation plan.
4 min read
Anomaly Detection for Data Pipelines Without Alert Fatigue
A practitioner’s guide to data anomaly detection that teams actually trust. Concrete methods, code, and routing to cut noise and catch real breaks.
9 min read
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