Optimizing Cloud Costs & Performance with Autonomous Cloud; Panel Discussion with PayPal, TopCoder/eBay, Ironclad and Sedai
Description
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28:23 : Static rules become outdated rapidly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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