~/talk

Apache Airflow @ Umuzi.org

Talkat PyConZA 2019 · 2019-10-09..10-11· [data-engineering]
slides:none on file

Umuzi uses Apache Airflow to replace brittle cron and ad hoc scripts that handled thousands of applicant records, moving to dynamic DAG generation (Python-created tasks in loops), templated operators (Bash, Python, Branch, Slack/email) and the web UI for run history and tracebacks. Deployment runs via Docker Compose deployment with Postgres metadata and Celery/Mesos queues, DAG files on a Git volume (git pull to update). Porting costs exist but ongoing result is faster, clearer recruitment pipelines and fewer manual runs.

AI-written summary · about

  1. 0:00Introduction
  2. 2:57Muzie's mission and growth
  3. 9:30Data pipeline challenges
  4. 10:13What is Apache Airflow
  5. 14:29Why Airflow is cool
  6. 18:40Interacting with Airflow
  7. 20:11Airflow web UI demo
  8. 24:45Airflow architecture
  9. 26:31Q&A session
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