Leveraging AI/ML for Tech Resilience in Modern Software Delivery
Breakout Session at Code Freeze 2023

Cloud-native adoption allows developers to release code to production multiple times per day. This rapid pace of change enables businesses to move fast but makes it harder to identify when a failed deployment occurs, increasing outages and unplanned downtime. Leveraging AI/ML in a CD pipeline removes the cognitive load of developers needing to babysit each production release, completely automating post-deployment verification and allowing developers to move fast and maintain reliability between releases.

Konr Ness

Konr has been a Software Engineer and Architect for over 15 years, consulting with customers primarily for application/cloud modernization and digital transformation initiatives. He loves solving business problems with technology. Most recently, Konr has been focused on CI/CD and Progressive Delivery solutions to help organizations deliver software without breaking things