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Sustainability at AWS re:Invent 2022 All the talks and videos I could find…

Adrian Cockcroft

Margaret leads the worldwide solution architect program for sustainability, and gives an excellent talk on how customers should think about optimizing their workloads. Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x

AWS 64
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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202
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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Over specialisation is considered good in industries such as healthcare and aviation but in software engineering over specialisation can be a blocker. Unlike healthcare and aviation where practices don't change over the decades, software technology is changing every day. product) don't change over a long period. Probably yes.