| awslabs/ecs-refarch-continuous-deployment |
828 |
|
0 |
0 |
over 3 years ago |
0 |
|
13 |
apache-2.0 |
Shell |
| ECS Reference Architecture for creating a flexible and scalable deployment pipeline to Amazon ECS using AWS CodePipeline |
| aws-samples/amazon-textract-serverless-large-scale-document-processing |
302 |
|
0 |
0 |
almost 3 years ago |
0 |
|
28 |
apache-2.0 |
Python |
| Process documents at scale using Amazon Textract |
| aws-samples/aws-golden-ami-pipeline-sample |
121 |
|
0 |
0 |
about 4 years ago |
0 |
|
9 |
other |
|
| Golden AMI pipeline setup sample |
| aws-samples/rds-snapshot-export-to-s3-pipeline |
102 |
|
0 |
0 |
almost 3 years ago |
0 |
|
5 |
mit-0 |
TypeScript |
| RDS Snapshot Export to S3 Pipeline |
| aws-samples/amazon-sagemaker-safe-deployment-pipeline |
71 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
mit-0 |
Jupyter Notebook |
| Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy. |
| aws-samples/aws-concurrent-data-orchestration-pipeline-emr-livy |
66 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| This code demonstrates the architecture featured on the AWS Big Data blog (https://aws.amazon.com/blogs/big-data/ ) which creates a concurrent data pipeline by using Amazon EMR and Apache Livy. This pipeline is orchestrated by Apache Airflow. |
| aws-samples/amazon-kinesis-analytics-beam-taxi-consumer |
46 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit-0 |
Java |
| Sample Apache Beam pipeline that can be deployed to Amazon Managed Service for Apache Flink. It reads taxi events from a Kinesis data stream, processes and aggregates them, and ingests the result to Amazon CloudWatch for visualization. |
| joshukraine/middleman-gulp |
41 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
Ruby |
| A Middleman 4 template using Gulp.js via the external pipeline |
| Dwolla/arbalest |
41 |
|
1 |
0 |
about 10 years ago |
3 |
October 27, 2015 |
2 |
mit |
Python |
| Arbalest is a Python data pipeline orchestration library for Amazon S3 and Amazon Redshift. It automates data import into Redshift and makes data queryable at scale in AWS. |
| aws-samples/bring-your-own-data-labs |
40 |
|
0 |
0 |
almost 3 years ago |
0 |
|
3 |
mit-0 |
HTML |
| Bring your own data Labs: Build a serverless data pipeline based on your own data |
