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Making Movies: How to Ditch the Monolith and Dodge Risk

Containerization, microservices, and service orchestration have seen high adoption as developers and operators have recognized the significant advantages of tools like Docker and Kubernetes. A driving factor behind this shift is the benefit of having multiple teams iterating on systems without blocking each other. But because this approach also increases the risk of introducing bugs or regressions, teams are using canary deployments and feature flags to safely test and validate changes against a subset of production traffic without affecting an entire user population. What you will learn: How IBM Cloud Container Service migrated to microservices and continuous delivery to support deployments at scale. Best practices for using automated canary analysis and feature flags to gauge user experience and validate app performance. How to accept failure, control the blast radius, and minimize customer exposure. Panelists: Michael McKay Lead DevOps Engineer at IBM Cloud Kubernetes Service Isaac Mosquera CTO and co-founder at Adam Zimman VP Product & Marketing at LaunchDarkly