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In a typical architecture involving AWS Batch and Amazon EKS, the flow often looks like this:
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AWS Batch is used for managing and running batch computing workloads. It's particularly useful for jobs that can be split into discrete tasks and run in parallel.
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Amazon EKS, on the other hand, is used for orchestrating containerized applications. It provides a managed Kubernetes environment.
In a combined architecture:
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AWS Batch might be used to submit and manage large-scale computational jobs.
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These jobs could be processed by worker nodes running in an Amazon EKS cluster. EKS provides the container orchestration layer, managing the deployment, scaling, and operation of the containers that process the batch jobs.
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The EKS cluster would typically be set up in a Virtual Private Cloud (VPC) for network isolation and security.
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A load balancer, such as an Application Load Balancer, might be used to distribute incoming requests or workloads across multiple container instances in the EKS cluster.
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Amazon Elastic Container Registry (ECR) could be used to store and manage the container images used by both Batch and EKS.
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For data storage and sharing between components, services like Amazon S3 or Amazon EFS might be employed.
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The entire system would likely be monitored using Amazon CloudWatch for performance metrics and logs.
This architecture allows for efficient processing of batch workloads while leveraging the scalability and container orchestration capabilities of Kubernetes through EKS. It provides a flexible and powerful environment for running complex, distributed computational tasks.
Without seeing the specific diagram from the case study, I can't provide more detailed information about the exact flow in that particular scenario. If you have any specific questions about components or interactions in AWS Batch or EKS architectures, I'd be happy to address those.
Sources
How Arcanum AI Migrated Models from OpenAI to AWS Using Amazon Bedrock and Amazon SageMaker JumpStart | AWS Partner Network (APN) Blog
Guidance for Building Hybrid Satellite Imagery Processing Workloads on AWS
Modernizing on-premises applications using Amazon Elastic Kubernetes Service and Amazon Elastic File System | AWS Storage Blog
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