Four engineering leaders with backgrounds at Paypal, Topcoder, eBay, Ironclad and Sedai discuss how to optimize cloud costs and performance with Autonomous Cloud, including how Autonomous complements Kubernetes by taking care of choosing configuration, and enables teams to focus on applications not infrastructure.

Panelists:

Sumesh Vadassery, Senior Director Engineering, PayPal

Kumar Rethi,CTO, TopCoder (ex-eBay)

John Fielder, CISO and Head of Platform Engineering, Ironclad

Benjamin Thomas, Co-Founder & President, Sedai

John Jamie, VP Marketing, Sedai (Moderator)

Key moments:

01:20 : Evolution of Cloud Cost Management

03:35 : How PayPal saved 60% of compute costs by resizing the site using AI/ML

05:51 : PayPal can now focus on apps not infrastructure

07:03 : PayPal manages in a multi-cloud, multi business unit environment

10:05 : Why eBay needed to move from automation to autonomous

14:44 : Autonomous Complements Kubernetes

16:35 : How Salesforce used AI and autonomous to manage complex cloud platforms

22:22 : Ironclad's advice for implementing an autonomous platform on production clouds

22:43 : Autonomous helps with growing security workload

24:14 : Security, Platform, Data Eng are value centers not cost centers

26:48 : What is the need for autonomous when you have Kubernetes?

28:23 : Static rules become outdated rapidly

29:44 : Autonomous manages configuration when app behavior changes

30:48 : Who manages config for declarative platforms?

31:32 : Drivers for ROI for autonomous vs automated systems

33:29 : Autonomous can provide 50% gains in cost & performance over automated approaches

To learn more about Sedai visit https://bit.ly/3e3Cqlv

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