![Airflow docker image for kubernetes Airflow docker image for kubernetes](https://image.slidesharecdn.com/tfxkubeflowworkshopnew-191108115128/95/kubeflow-gpu-kerastensorflow-20-tf-extended-tfx-kubernetes-pytorch-xgboost-airflow-mlflow-spark-ml-jupyter-75-638.jpg?cb=1573675708)
Convenience images for Apache Yetus: OS, plugin dependencies, and Apache Yetus binaries installed. Managing Connections¶. Airflow needs to know how to connect to your environment. Onewaysync v3 1. Information such as hostname, port, login and passwords to other systems and services is handled in the Admin-Connections section of the UI. -t airflow docker run -it -p 8080:8080 -v:/root/airflow airflow However, as we saw before, here Airflow uses a SQLite database as a backend, whose performance is quite lower than if we used a MySQL server, for instance.
Out of the box, Airflow uses a sqlite database, which you should outgrowfairly quickly since no parallelization is possible using this databasebackend. It works in conjunction with the
airflow.executors.sequential_executor.SequentialExecutor
which willonly run task instances sequentially. While this is very limiting, it allowsyou to get up and running quickly and take a tour of the UI and thecommand line utilities.Airflow Docker Container
![Airflow Airflow](https://miro.medium.com/max/5288/1*YqqOVT0RqF_NpEFJdZ8bsQ.png)
Here are a few commands that will trigger a few task instances. You shouldbe able to see the status of the jobs change in the
example1
DAG as yourun the commands below.Apache Airflow Docker Image
What’s Next?¶
From this point, you can head to the Tutorial section for further examples or the How-to Guides section if you’re ready to get your hands dirty.