References
For more information regarding the topics that were covered in this chapter, take a look at the following resources:
- DevOps and AWS:
- Infrastructure as Code with AWS CloudFormation:
- Developing an IoT-MLOps workflow on AWS Using Edge Manager:
- CRISP-ML Methodology with Quality Assurance:
- Machine Learning Operations:
- Overview of Docker:
- Different Ways of Running Dockerized Applications on AWS IoT Greengrass: https://docs.aws.amazon.com/greengrass/v2/developerguide/run-docker-container.html
- Special interest group: https://github.com/cdfoundation/sig-mlops
