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Mastering Cloud Cost Optimization with Kruize
Originally aired:
About the Session
Controlling cloud compute costs is a crucial challenge for enterprises, and right-sizing containers is at the forefront of concerns for Site Reliability Engineers (SREs). This talk presents an insightful exploration of the Kruize open-source project, which stands as a strategic solution for reducing compute costs.
Explore how Kruize utilizes long-term monitoring data to provide tailored recommendations for optimizing production containers. The session will cover the use of Bayesian optimization within Kruize, showcasing how it autonomously tunes applications in Kubernetes to achieve specific performance goals. These goals include reducing resource usage and enhancing throughput, pivotal factors in cost efficiency.
The presentation goes beyond just right-sizing containers, highlighting how Kruize also assists in tuning JVM settings and optimizing frameworks like Spring Boot and Quarkus. A live demonstration will be featured, illustrating the practical application of Kruize in real-world scenarios and its effectiveness in optimizing cloud costs.
Ideal for SREs, cloud architects, and IT professionals, this session offers valuable insights into strategies for leveraging Kruize to enhance cloud cost efficiency. Attendees will leave with a comprehensive understanding of container optimization and practical solutions for controlling cloud expenses.
Join this informative session to gain the knowledge and tools needed for mastering cloud cost optimization in your organization.
Mastering Cloud Cost Optimization with Kruize
Originally aired:
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