Using AI for Mission-Critical Production Systems: A tech talk by Duncan Winn, VP of Eng at Zscaler скачать в хорошем качестве

Using AI for Mission-Critical Production Systems: A tech talk by Duncan Winn, VP of Eng at Zscaler

Inefficient engineering workflows impact revenue and costs every day. To name just a few: It takes 3 - 6 months for new engineers to onboard, changes take too long to deploy and trigger incidents, and customers report issues before engineering teams discover them. Workflow speed bumps like these also negatively impact developer velocity, wellbeing, collaboration, and effectiveness. As a result, incident resolution takes a lot of time, people, and effort. Zscaler wanted to change this, so they evaluated AI SREs and AI for prod solutions and then selected, implemented, and trained Resolve AI. In this tech talk, Duncan Winn, VP of Engineering and SRE Lead at Zscaler, highlights Zscaler's use case, evaluation and implementation strategy, and outcomes using Resolve AI, including reducing investigation time by 75%. To join the conversation, follow us on: • X: https://x.com/resolveai • LinkedIn:   / resolveai