The Official AWS Podcast is a podcast for developers and IT professionals looking for the latest news and trends in storage, security, infrastructure, serverless, and more. Join Simon Elisha and Hawn Nguyen-Loughren for regular updates, deep dives, launches, and interviews. Whether you’re training machine learning models, developing open source projects, or building cloud solutions, the Official AWS Podcast has something for you.
https://aws.amazon.com/podcasts/aws-podcast/
Gesamtlänge aller Episoden: 10 days 14 hours 25 minutes
episode 645: #645: Amazon Neptune Analytics
We continue to dive deep into the recent announcements from AWS re:Invent, with the release of Amazo
episode 644: #644: Amazon ElastiCache Serverless
In this episode, we’re diving deep into one of the recent announcements from AWS re:Invent, the rele
episode 643: #643: re:Invent 2023 - Dr. Werner Vogels Keynote
In our final re:Invent recap episode, Simon shares news and announcements from Dr. Werner Vogels' ke
episode 642: #642: re:Invent 2023 - Swami Sivasubramanian Keynote
Our re:Invent 2023 coverage continues! In this episode, Jillian Forde shares highlights from re:Inve
episode 641: #641: 641-re:Invent 2023 - Adam Selipsky Keynote
Our re:Invent 2023 coverage continues! In this episode, Jillian Forde shares highlights from Day 2 o
episode 640: #640: re:Invent 2023 - Monday Night Live with Peter DeSantis
It’s the most re:Invent time of the year! Simon guides you through the most exciting announcements f
episode 639: #639: How to re:Invent
Explore everything AWS re:Invent had to offer this November 27th through December 1st 2023! Join Sim
episode 638: #638: November 2023 Update Show 2
Lots of interesting updates to hear about this week! Chapters: Analytics (00:45); Application Integr
episode 637: #637: Plan AI development cycles with Amazon EC2 Capacity Blocks for ML
Tune in to listen to Jillian Forde and Jake Siddall (AWS Senior Product Manager) dive deep into a ne
episode 636: #636: Amazon Aurora MySQL zero-ETL Integration with Amazon Redshift
For time-strapped data teams looking to simplify analytics on large transactional data, Amazon Auror