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Conference: KubeCon + CloudNativeCon Europe 2023
Authors: Rimma Iontel, Atanas Atanasov
2023-04-21
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The presentation discusses the evolution of on-node adaptive power tuning to optimize available resources and decrease power use and cooling costs of systems.
- Adaptive on-node systems are needed to optimize available resources and decrease power use and cooling costs of systems
- Current options available require setting options for power use ahead of time or reliance on kernel-level governors
- TuneD provides a framework to configure certain power optimization settings on different hardware using profiles
- B States and C States are important capabilities to concentrate on for power optimization
- Intel's Kubernetes Power Manager improves what can be done with power optimization
- The presentation includes a pre-recorded demo of the discussed concepts
Conference: KubeCon + CloudNativeCon North America 2022
Authors: Sunny Bains, Yang Zhang
2022-10-28
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Optimizing resource efficiency in cloud-based data replication using TiDB and Kubernetes
- Using hibernated regions to optimize CPU and network resources in data replication
- Migrating from x86 to ARM architecture to save computational resources
- Reducing storage size and bandwidth usage through efficient data replication processes
- Minimizing long distance traffic to reduce costs
Conference: KubeCon + CloudNativeCon North America 2022
Authors: Kendall Roden, Alice Gibbons
2022-10-27
Remember when writing connected application code to do something innovative was the hard part? These days developers have to do more than ever, not only to write innovative and elegant code to run their business, but now also have to deal with all the faults, outages, disasters, hot spots, scale points, and concurrency issues that come with building distributed apps and microservices at scale. In this session, you will learn about the best practices to write distributed app code that sings at scale directly from the team that helped bring you Dapr and a number of hyper-scale cloud services in production. It will focus on the topics of resiliency, distributed locking, and optimization in common tasks like async messaging & Pub-Sub, state management, secrets and more. You will also learn about abstractions and implementations to do this the easy way in your favorite programming model and language, while targeting Kubernetes.