Optimising Data Workloads using Argo Workflows and Kubernetes

Deploy and Manage Data/ML Workloads in EKS

You will Learn below topics with Lab - Argo Workflow, EKS, Realtime Scenarios and Usecases.

• Explore the capabilities of Argo Workflows as a container-native workflow engine for orchestrating parallel jobs on Elastic Kubernetes Services.(EKS) -

• Learn how to use Argo Workflows to create and manage Spark or ML jobs on Amazon EKS, leveraging its integration with Kubernetes services.

• Discover deployment patterns and examples for deploying Argo Workflows on EKS, including scenarios involving Spark operators and Amazon SQS event triggers.

• Gain insights into optimizing big data workloads through efficient job scheduling on Kubernetes, freeing up resources for enhanced business focus.