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daringanitch's Projects

airflow-7-14-docker icon airflow-7-14-docker

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

aws-codepipeline-s3-aws-codedeploy_linux icon aws-codepipeline-s3-aws-codedeploy_linux

Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html

aws-data-lake-solution icon aws-data-lake-solution

A deployable reference implementation intended to address pain points around conceptualizing data lake architectures that automatically configures the core AWS services necessary to easily tag, search, share, and govern specific subsets of data across a business or with other external businesses.

aws-ecr-codepipeline icon aws-ecr-codepipeline

This repository demonstrates how you can use Terraform to provision AWS CodePipeline & CodeBuild to build and push Docker container images to AWS ECR.

aws-eks-base icon aws-eks-base

This boilerplate contains terraform configurations for the rapid deployment of a Kubernetes cluster, supporting services, and the underlying infrastructure in AWS.

aws-kube-codesuite icon aws-kube-codesuite

The CodeSuite Continuous Deployment reference architecture demonstrates how to achieve continuous deployment of an application to a Kubernetes cluster using AWS CodePipeline, AWS CodeCommit, AWS CodeBuild and AWS Lambda.

aws-ml-data-lake-workshop icon aws-ml-data-lake-workshop

As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges is getting visibility into their data for feature engineering and data format conversions for using AWS SageMaker. In this workshop, we demonstrate best practices and build data pipelines for training data using Amazon Kinesis Data Firehose, AWS Glue, and Amazon SageMaker, and then we use Amazon SageMaker for inference.

awslimitchecker icon awslimitchecker

A script and python module to check your AWS service limits and usage via boto.

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