Remove Data Engineering Remove Serverless Remove Technology Remove Training
article thumbnail

Symphonia at Velocity 2018, and more Serverless Insights

The Symphonia

Hello friendly Serverless Insights subscribers! We’ve got you covered), partnering with friends on a fascinating open source project, our most comprehensive training course yet, plenty of speaking engagements (see our expanding portfolio of talks that we can give to your team here ), and a revisit of an old friend. Great stuff!

article thumbnail

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

Adrian Cockcroft

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 shorter training time, saving 54% energy and 75% cost. Building a data lake of detailed information about energy use of many physical devices.

AWS 64
article thumbnail

Organise your engineering teams around the work by reteaming

Abhishek Tiwari

As Steve Jobs wisely said, Don’t Be Trapped by Dogma – Which is Living With the Results of Other People’s Thinking In my view, technology executives and engineering leaders are overly obsessed with the Spotify model. Specialisation could be around products, business process, or technologies. And there lies the problem.