8 Building custom components
This chapter covers
- Making your DAGs more modular and succinct with custom components
- Designing and implementing a custom hook
- Designing and implementing a custom operator
- Designing and implementing a custom sensor
- Distributing your custom components as a basic Python library
One strong feature of Airflow is that it can be easily extended to coordinate jobs across many different types of systems. We have already seen some of this functionality in earlier chapters, where we were able to execute a job on for training a machine learning model on Amazon’s SageMaker service using the S3CopyObjectOperator, but you can (for example) also use Airflow to run jobs on an ECS (Elastic Container Service) cluster in AWS using ...
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