In this tutorial, we will learn how to Start Running Apache Airflow in Docker. The simplest and fastest way to start Airflow is to run it with CeleryExecutor in Docker.
The simplest and fastest way to start Airflow is to run it with CeleryExecutor in Docker. We assume that you have a basic understanding of Dockers and that you have already installed the Docker Community Edition (CE) on your computer.
It is convenient to create an Airflow directory where you will have your folders like
dags etc. So, open your terminal and run:
I created a folder called
To deploy Airflow on Docker Compose, you should fetch docker-compose.yaml. So let’s download it with the
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I have kept this blog as short as possible on two commonly used ways of how to use Kafka Producer-Consumer processes over single node…Prerequisite: Ubuntu 18.04 server and a non-root user with sudo privileges. At least 4GB of RAM is required on the server. Installation without this amount of RAM may cause the Kafka service to fail, with the Java Virtual Machine(JVM) throwing out an “Out Of Memory” exception during startup. Even using Docker services one need to make sure the host machine has more than 4GB of RAM (advisable 8 GB RAM) as it is an absolute requirement for Kafka will consume a big part of RAM.
The continuous nature of agile testing raises a few major hurdles along the way. Here are 13 challenges you might face as a tester and how you could avoid them.