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Deploying new code to your production cluster can be stressful. A canary release can reduce risk and give you more control over the progression of your application updates. However, canary releases are more of an art than a science. How much traffic should the canary get? What type of analysis should be run? Which metrics should I analyze? How long should the analysis run? A carefully designed canary configuration can maximize your chance of catching an issue before the new application version is fully rolled out. Luckily, Argo Rollouts provides advanced deployment capabilities that can be customized to your application’s needs. This session will cover the following topics: - How to do canary deployments with Argo Rollouts - The different ways to perform analysis to drive progressive delivery - Selecting the best metrics for analysis (this is very application dependent) - Practical demo: Canary deployment with application metrics from Pixie
Hannah Troisi is a Senior Developer Experience Engineer at New Relic. She works on Pixie, a CNCF Sandbox project, helping developers discover easier methods for debugging their applications on Kubernetes.
