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Airflow
orchestration
Apache Airflow consulting & implementation
Author, schedule, and monitor workflows at scale.
Airflow is the workhorse for teams with complex orchestration needs — cross-system dependencies, SLAs, and custom Python. We design DAGs that scale and stay debuggable.
Airflow · live signal
What we've shipped with Airflow
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production clusters
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DAGs authored
0.0%
uptime
orchestrationopinionated · airflow
When Airflow makes sense
Pick Airflow when…
- You have complex cross-system workflows
- Custom Python is part of your pipelines
- You need SLA monitoring and backfills
- Cron is no longer enough
What we implement
Beyond the tutorial.
01
Deployment
Self-hosted, MWAA, or Astronomer — configured for reliability and cost.
02
DAG design
Modular, testable DAGs that don't become spaghetti in year two.
03
Observability
Slack alerts, Datadog integration, and SLA monitoring.
04
CI/CD
DAG validation in PR, safe production deploys, zero-downtime upgrades.