![How Amazon grew an awkward side project into AWS, a behemoth that's now 4 times bigger than its original shopping business | Fortune How Amazon grew an awkward side project into AWS, a behemoth that's now 4 times bigger than its original shopping business | Fortune](https://content.fortune.com/wp-content/uploads/2022/11/aws_charts_112322-01.png?w=650&h=846)
How Amazon grew an awkward side project into AWS, a behemoth that's now 4 times bigger than its original shopping business | Fortune
![Architect and build the full machine learning lifecycle with AWS: An end-to-end Amazon SageMaker demo | AWS Machine Learning Blog Architect and build the full machine learning lifecycle with AWS: An end-to-end Amazon SageMaker demo | AWS Machine Learning Blog](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2021/02/22/2-ML-Lifecycle.jpg)
Architect and build the full machine learning lifecycle with AWS: An end-to-end Amazon SageMaker demo | AWS Machine Learning Blog
GitHub - swoodford/aws: A collection of bash shell scripts for automating various tasks with Amazon Web Services using the AWS CLI and jq.
![Disaster recovery options in the cloud - Disaster Recovery of Workloads on AWS: Recovery in the Cloud Disaster recovery options in the cloud - Disaster Recovery of Workloads on AWS: Recovery in the Cloud](https://docs.aws.amazon.com/images/whitepapers/latest/disaster-recovery-workloads-on-aws/images/restore-test-backups.png)