How Astronomer Turns Proactive Monitoring Into Customer Success with Collin McNulty
The evolution of Airflow continues to shape data orchestration and monitoring strategies. Leveraging it beyond traditional ETL use cases opens powerful new possibilities for proactive support and internal operations.In this episode, we are joined b...
The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI · The Data Flowcast
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Show Notes
The evolution of Airflow continues to shape data orchestration and monitoring strategies. Leveraging it beyond traditional ETL use cases opens powerful new possibilities for proactive support and internal operations.
In this episode, we are joined by Collin McNulty, Sr. Director of Global Support at Astronomer, who shares insights from his journey into data engineering and the lessons learned from leading Astronomer’s Customer Reliability Engineering (CRE) team.
Key Takeaways:
00:00 Introduction.
03:07 Lessons learned in adapting to major platform transitions.
05:18 How proactive monitoring improves reliability and customer experience.
08:10 Using automation to enhance internal support processes.
12:09 Why keeping systems current helps avoid unnecessary issues.
15:14 Approaches that strengthen system reliability and efficiency.
18:46 Best practices for simplifying complex orchestration dependencies.
23:24 Anticipated innovations that expand orchestration capabilities.
Resources Mentioned:
https://www.linkedin.com/in/collin-mcnulty/
Astronomer | LinkedIn
https://www.linkedin.com/company/astronomer/
Astronomer | Website
https://www.astronomer.io
https://airflow.apache.org/
https://prometheus.io/
https://www.splunk.com/
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#AI #Automation #Airflow #MachineLearning