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Software Engineering Radio - the podcast for professional software developers

SE Radio 631: Abhay Paroha on Cloud Migration for Oil and Gas Operations

Aug 28, 2024
58:53
Snipd AI
Abhay Paroha, an engineering leader with over 15 years of experience, shares his insights on cloud migration in the oil and gas sector. He discusses building a robust cloud foundation and the importance of a canonical data model for bi-temporal data. The conversation covers the shift from Java to Scala, using Kubernetes for microservices, and the challenges of managing vast production data volumes. Abhay also emphasizes real-time monitoring, the impact of cloud technology on product definitions, and lessons learned from early deployment hurdles.
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Podcast summary created with Snipd AI

Quick takeaways

  • The podcast emphasizes the importance of transitioning to cloud-based solutions for improving scalability, data integration, and advanced analytics in oil and gas operations.
  • The discussion highlights the challenges and key strategies for implementing microservices architecture and managing vast amounts of historical data effectively during cloud migration.

Deep dives

Building a Cloud Foundation in Oil and Gas

The podcast discusses the experience of transitioning oil and gas production operations to the cloud architecture, focusing on scalability and data management. The speaker emphasizes the shift from on-premise applications to cloud-based solutions for improved data integration and advanced capabilities. By leveraging cloud technology, they aim to handle extensive historical data effectively, facilitating machine learning workflows and real-time recommendations for oil well management. This transition involved moving from desktop applications to innovative cloud solutions that use advanced analytics for tasks like well surveillance and forecasting.

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