Deploying Complex Stateful Applications with Kubernetes

Presented by

Tom Phelan, Chief Architect, BlueData; Yaser Najafi, Big Data Solutions Engineer, BlueData

About this talk

Watch this on-demand webinar to learn about using Kubernetes with stateful applications for AI and Big Data workloads. Kubernetes is now the de facto standard for container orchestration. And while it was originally designed for stateless applications and microservices, it's gaining ground in support for stateful applications as well. But distributed stateful applications – including analytics, data science, machine learning, and deep learning workloads – are still complex and challenging to deploy with Kubernetes. In this webinar, we'll discuss considerations for running stateful applications on Kubernetes: -Unique requirements for multi-service stateful workloads including Hadoop, Spark, Kafka, and TensorFlow -Persistent Volumes, Statefulsets, Operators, Helm, and other Kubernetes capabilities for stateful applications -Technical gaps in Kubernetes deployment patterns and tooling, including security and networking -Options and strategies to deploy distributed stateful applications in containerized environments Learn about a new open source project focused on deploying and managing stateful applications with Kubernetes.

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