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Explore a conference talk detailing Nokia's journey of migrating production workloads from Apache Mesos and Marathon to Kubernetes in their cloud-native big data analytics platform. Learn about the challenges and solutions encountered when transitioning critical telecom data science workloads, including distributed analytics engines, production databases, data streams, and ML applications. Discover strategies for maintaining performance, reliability, and continuous delivery during the migration process. Gain insights into seamlessly sharing cloud resources, network traffic, internal DNS, and telemetry systems between two orchestrators in a production environment. Benefit from the lessons learned and best practices shared by the speakers to help guide your own migration efforts.
