Optimizing Cloud Native Power Consumption using Kepler with Marcelo Amaral

Marcelo Amaral is a Researcher for Cloud System Optimization and Sustainability. With his background in performance engineering where he optimized microservice workloads in containerized environments making the leap towards analyzing and optimizing energy consumption was easy.Tune in to this episode and learn about how Kepler, the CNCF project Marcelo is working on, which provides metrics for workload energy consumption based on power models it was trained on by the community. Marcelo goes into details about how Kepler works and also provides practical advice for any developer to keep energy consumption in mind when making architectural and coding decisions.To learn more about Kepler and the episode today check out:LinkedIn from Marcelo: https://www.linkedin.com/in/mcamaral/CNCF Blogpost on Kepler: https://www.cncf.io/blog/2023/10/11/exploring-keplers-potentials-unveiling-cloud-application-power-consumption/Kepler GitHub Repo: https://github.com/sustainable-computing-io/kepler

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The brutal truth about digital performance engineering and operations.Andreas (aka Andi) Grabner and Brian Wilson are veterans of the digital performance world. Combined they have seen too many applications not scaling and performing up to expectations. With more rapid deployment models made possible through continuous delivery and a mentality shift sparked by DevOps they feel it’s time to share their stories. In each episode, they and their guests discuss different topics concerning performance, ranging from common performance problems for specific technology platforms to best practices in development, testing, deploying and monitoring software performance and user experience. Be prepared to learn a lot about metrics.Andi & Brian both work at Dynatrace, where they get to witness more real world customer performance issues than they can TPS report at.