Overview
Ray is a Python library for scaling AI and Python applications. Provides an API and consists of a core distributed runtime and a set of AI libraries for simplifying ML compute
Trademarks: This software listing is packaged by Bitnami. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.
Why Use Bitnami Container Solutions?
Bitnami certifies that its containers are secure, up-to-date, and packaged using industry best practices. Bitnami containers can be deployed on top of EKS.
Bitnami also makes Helm Charts available for most of the container solutions. These Helm Charts can be used with Kubeapps, a dashboard for deploying and managing Kubernetes applications in your cluster.
Highlights
- Up-to-date and secure. When vulnerabilities are identified or new versions of the application and its components are released, Bitnami automatically repackages the container and pushes the latest version to the cloud marketplaces.
- Efficient and lightweight. Bitnami containers use the minimal base image and follow community best practices and requirements.
- Simple to configure and flexible to run in diverse environments. Bitnami containers include rolling tags to help you identify the version and the flavor of the application and its components.
Details
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N/A
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Delivery details
Ray
- Amazon ECS
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
- Maintenance release
Additional details
Usage instructions
This container can be deployed on top of ECS and EKS. Please check our documentation for more details
- To launch the container in Amazon EKS: https://docs.bitnami.com/aws/get-started-containers-eks-marketplace/
- To launch the container in Amazon ECS: https://docs.bitnami.com/aws/get-started-containers-ecs-marketplace/
Check all the configuration options available during the deployment at https://github.com/bitnami/containers/tree/main/bitnami/ray .
Resources
Vendor resources
Support
Vendor support
Bitnami provides technical documentation for installation and setup issues through GitHub. Bitnami's support team actively participates and monitors its projects and try to answer any question they receive within 24 hour on working days.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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