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

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

License: MIT No Attribution

Python 29.43% Jupyter Notebook 69.73% JavaScript 0.84%

amazon-sagemaker-safe-deployment-pipeline's Introduction

Hi, I'm CristhIAn Wiki

HiroForYou Twitter LinkedIn

๐Ÿคต About Me


  • Passionate and adaptable tech enthusiast, always eager to explore cutting-edge tech stacks ๐Ÿ’ป and harness their potential to craft innovative solutions ๐Ÿ› ๏ธ.
  • ๐Ÿค– Deep Learning engineer with a focus on Computer Vision, blending creativity with code to bring ideas to life .
  • ๐Ÿ’ป Daily languages: Python (.py), C++ (.cpp), and TypeScript (.ts).
  • โค๏ธ I derive joy from creating and deploying state-of-the-art Deep Learning models.
  • ๐Ÿ“ซ Reach out to me for collaborations or discussions.
  • ๐Ÿฆ Proud member of ACECOM, where knowledge meets community.
  • ๐ŸŒŽ Explore my new website www.cristhianwiki.com to discover more about my journey.

๐Ÿš€ Tech Stacks

MLOps

  • Machine Learning Frameworks: TensorFlow, PyTorch
  • Containerization & Orchestration: Docker, Kubernetes
  • Continuous Integration & Deployment: Jenkins, GitLab CI
  • Model Versioning: MLflow
  • Monitoring & Logging: Prometheus, Grafana, ELK Stack
  • Cloud Platforms: AWS, Azure
  • Collaboration Tools: Slack, Jira

Full Stack Development

  • Frontend: React.js, Vue.js
  • Backend: Node.js, Django
  • Database: MongoDB, PostgreSQL
  • APIs: REST, GraphQL
  • Version Control: Git, GitHub
  • Deployment & Hosting: Heroku, Netlify
  • DevOps: Ansible, Terraform



Let's code and build amazing things together! ๐Ÿš€๐ŸŒ

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