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Software Engineering Daily
Maximizing Cloud Efficiency with Jerzy Grzywinski and Brent Segner
Feb 4, 2025
Jerzy Grzywinski, a Senior Director of Software Engineering at Capital One with over 16 years in various engineering roles, and Brent Segner, a distinguished engineer focused on cloud cost optimization, dive into cloud efficiency. They discuss the complexities of compute optimization, exploring the benefits of horizontal scaling and the impact of programming languages on performance. The duo also emphasizes GPU resource management for AI workloads, as well as the importance of collaboration in navigating cloud costs and promoting cost-awareness in scaling organizations.
45:53
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Quick takeaways
- Balancing performance, cost, and resource availability is crucial for optimizing compute efficiency in cloud environments, especially with the rise of GPU workloads.
- Building trust and collaboration between developers and FinOps teams is essential for achieving effective cloud cost optimization and mindful resource management.
Deep dives
Challenges of Cloud Compute Optimization
Optimizing compute resources in cloud environments involves balancing several factors, including performance, cost, and resource availability. The increased reliance on GPUs for workloads, notably in AI applications, complicates this optimization due to their high costs. This has led to a renewed focus on understanding compute efficiency to make informed decisions about resource allocation. Jersey Grzywinski and Brent Segner highlighted the significance of scaling strategies and the adoption of new instance types as crucial elements in optimizing cloud-based operations.
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