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Holistic job manager on Kubernetes capable of (i) provides an abstraction for wrapping all resources of the job/application and treating them holistically, (ii) queuing job/application creation requests and applying different queuing policies, e.g., FIFO, Priority, (iii) dispatching the job to one of multiple clusters, where a queuing agent runs, using configurable dispatch policies, and (iv) auto-scaling pod sets balancing job demands and cluster availability.

License: Apache License 2.0

Makefile 1.20% Shell 14.71% Go 83.74% Mustache 0.22% Dockerfile 0.12%

multi-cluster-app-dispatcher's Introduction

Multi-Cluster Application Dispatcher

The multi-cluster-app-dispatcher is a Kubernetes controller providing mechanisms for applications to manage batch jobs in a single or mult-cluster environment.

The multi-cluster-app-dispatcher (MCAD) controller is capable of (i) providing an abstraction for wrapping all resources of the job/application and treating them holistically, (ii) queuing job/application creation requests and applying different queuing policies, e.g., First In First Out, Priority, (iii) dispatching the job to one of multiple clusters, where a MCAD queuing agent runs, using configurable dispatch policies, and (iv) auto-scaling pod sets, balancing job demands and cluster availability (future work).

Build Information

Follow the build instructions here to build the Multi-Cluster-App-Dispatcher controller.

Deployment Information

Refer to deployment instructions here on how to deploy the multi-cluster-app-dispatcher as a controller in Kubernetes.

Tutorial

Refer to the tutorial on how to use multi-cluster-app-dispatcher to run batch job in Kubernetes

Overall Architecture

xqueuejob-controler

multi-cluster-app-dispatcher's People

Contributors

dmatch01 avatar zhangliresearch avatar nhan-t-hoang avatar jenellemillison avatar imgbotapp avatar kyleschlosser avatar tripathysa avatar nhan-hoang avatar stevemar avatar purphury avatar

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