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Tuesday, October 27 • 12:10pm - 12:40pm
To Go or Not To Go: 4 Error Metrics You Need for Confident Release Validation

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Canary deployments are a great way to reduce risk while maintaining speed. But the fact is, even the most cutting-edge organizations leveraging this approach still experience frequent production issues. So what’s missing? Historically, engineering teams have assessed canary release quality through the lens of performance and other high level gauges, for example, “Is my service up or down?” or “ Is it slow?” But those metrics don’t tell the full story. To truly have confidence in your release, you need to drill down to the code level to understand what’s new, what’s changed and what’s critical. That’s why we’ve identified 4 key error metrics that you can leverage in your Spinnaker canary analysis to make better pass/fail judgments and ensure the reliability of your applications. In this session, we’ll delve into why traditional judgment metrics have fallen short, then define and walk through each of the 4 error metrics, including real-world stories, key data sources and best practices for configuring thresholds.

avatar for Eric Mizell

Eric Mizell

VP Solution Engineering, OverOps
As VP of Solution Engineering, Eric helps developers, operations teams and executives create modern and reliable software by overseeing our Solution Engineering, Services, and Customer Success teams. He brings over 20 years of software development and leadership experience in organizations... Read More →
avatar for Lee Faus

Lee Faus

Field CTO, Armory
With over 20 years of experience in IT, Lee has been mentoring senior executives at G2k and Fortune 500 on DevOps workflow best practices leveraging an open core mentality and helping them understand best practices for automation and self-service for AppDev teams to deliver applications... Read More →

Tuesday October 27, 2020 12:10pm - 12:40pm PDT