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 240
License mit-0
Ranking

RepositoryStats indexes 584,777 repositories, of these aws-samples/amazon-sagemaker-safe-deployment-pipeline is ranked #283,182 (52nd percentile) for total stargazers, and #61,836 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #6,879/17,124.

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

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Inactive

No recent commits to this repository

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

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

updated: 2024-11-16 @ 01:51pm, id: 275045432 / R_kgDOEGTcOA