aws-samples / amazon-sagemaker-safe-deployment-pipeline

Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.

Date Created 2020-06-26 (4 years ago)
Commits 23 (last one 3 years ago)
Stargazers 104 (0 this week)
Watchers 35 (0 this week)
Forks 241
License mit-0
Ranking

RepositoryStats indexes 616,225 repositories, of these aws-samples/amazon-sagemaker-safe-deployment-pipeline is ranked #293,653 (52nd percentile) for total stargazers, and #62,466 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #7,231/18,359.

Other Information

aws-samples/amazon-sagemaker-safe-deployment-pipeline has 1 open pull request on Github, 19 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 12 closed issues.

Homepage URL: https://aws.amazon.com/blogs/machine-learning/safely-deploying-and-monitoring-amazon-sagemaker-endpoints-with-aws-codepipeline-and-aws-codedeploy/

Star History

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Recent Commit History

0 commits on the default branch (master) since jan '22

Inactive

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Issue History

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Languages

The primary language is Jupyter Notebook but there's also others...

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updated: 2025-01-03 @ 11:15pm, id: 275045432 / R_kgDOEGTcOA