(Online) Apache Airflow: DAG Design, Monitoring, Lessons from the Field
About this event
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18:30: Apache Airflow in Production: DAG Design, Monitoring, and Lessons from the Field - Pradeep Kalluri
19:55 Prize Draw - Packt eBooks
Session details:
Apache Airflow is the world's most widely deployed workflow orchestration platform — but running it reliably in production requires more than just writing DAGs.
In this session, Pradeep Kalluri, a Data Engineer at NatWest Bank and Apache Airflow open-source contributor, shares practical lessons from building and operating Airflow at scale in cloud environments.
Topics covered:
- DAG design patterns that scale — avoiding common pitfalls in dependency management and task granularity
- Production monitoring and alerting — what to measure, how to set up SLA alerts, and how to debug failures fast
- Celery and Kubernetes executor deep-dives — choosing the right executor for your workload
- Lessons from open-source contribution — what contributing to Airflow taught me about how it really works under the hood
- Cloud deployment best practices — running Airflow on AWS and Azure with high availability
Whether you're just getting started with Airflow or managing complex multi-team pipelines, this session will give you actionable patterns you can apply immediately.
Speaker:
Pradeep Kalluri
Data Engineer | NatWest | Building Scalable Data Platforms
Data Engineer with 3+ years of experience building production data platforms at NatWest, Accenture, and Capgemini. Specialized in cloud-native architectures, real-time processing with Kafka and Spark, and data quality frameworks. Published technical writer on Medium, sharing practical lessons from production systems. Passionate about making data platforms reliable and trustworthy.
Source: meetup