The AWS Morning show you never knew you wanted

AWS Morning Brief for the week of October 5th, 2020 featuring guest host Angela Andrews.

Join Pete Cheslock and Jesse DeRose as they take the reins of the Whiteboard Confessional podcast with an examination of the hot-off-the-presses AWS Cost Anomaly Detection service. Pete and Jesse do a deep dive of the new service and talk about Pete’s rule for gauging a company’s ability to do machine learning, the best part about the AWS Cost Anomaly Detection service, how AWS customers can help AWS train the algorithm and improve the service, why the walkthrough tour that AWS provides for the service is awesome, how to determine what notification threshold to use for AWS Cost Anomaly Detection, why it’s better to have too many alerts than not enough, and more.

AWS Morning Brief Extras edition for the week of September 30th, 2020.

AWS Morning Brief for the week of September 27th, 2020.

Join Pete Cheslock and Jesse DeRose as they take the reins of the Whiteboard Confessional podcast with a conversation about Amazon Detective, a new AWS service ostensibly designed to help organizations get down to the root of security issues. Pete and Jesse discuss why they were so excited to take the service for a spin, the caveat to the Amazon Detective’s 30-day free trial (it’s a big one), how Amazon should have an estimated pricing calculator on all its services, the terms you should probably search for in Amazon Detective if you give it a whirl, what the service very clearly lacks currently, and more.

AWS Morning Brief Extras edition for the week of September 23rd, 2020.

AWS Morning Brief for the week of September 21, 2020.

Join Pete Cheslock and me as we discuss Progress’ recent acquisition of Chef. We touch upon the rise of configuration management and why tools like Chef and Puppet became so popular to begin with, what made the Chef community so special, why Corey—and the community at large—believes Chef got acquired, why Pete thinks open source is not a business model, startup capitalization tables and how VCs often make out like bandits, how for every billion-dollar IPO there’s hundreds of startups that don’t end up faring so well, and more.