worker servers. A worker server is a networked machine running celeryd. This can be one or more machines, depending on the workload. The result of the task can be stored for later retrieval (called its survives most error scenarios, and your tasks will never be lost. Dis- tributed Runs on one or more machines. Supports clustering when used in combination with RabbitMQ. You can set up new workers without Setting up RabbitMQ To use celery we need to create a RabbitMQ user, a virtual host and allow that user access to that virtual host: $ rabbitmqctl add_user myuser mypassword $ rabbitmqctl add_vhost

worker servers. A worker server is a networked machine running celeryd. This can be one or more machines, depending on the workload. The result of the task can be stored for later retrieval (called its survives most error scenarios, and your tasks will never be lost. Distributed Runs on one or more machines. Supports clustering when used in combination with RabbitMQ. You can set up new workers without Setting up RabbitMQ To use celery we need to create a RabbitMQ user, a virtual host and allow that user access to that virtual host: $ rabbitmqctl add_user myuser mypassword $ rabbitmqctl add_vhost

worker servers. A worker server is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its survives most error scenarios, and your tasks will never be lost. Dis- tributed Runs on one or more machines. Supports clustering when used in combination with RabbitMQ. You can set up new workers without Setting up RabbitMQ To use celery we need to create a RabbitMQ user, a virtual host and allow that user access to that virtual host: $ rabbitmqctl add_user myuser mypassword $ rabbitmqctl add_vhost

the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its recovery when using RabbitMQ, ensures your tasks are never lost. Dis- tributed Runs on one or more machines. Supports broker clustering and HA when used in combination with RabbitMQ. You can set up new workers Setting up RabbitMQ To use celery we need to create a RabbitMQ user, a virtual host and allow that user access to that virtual host: $ rabbitmqctl add_user myuser mypassword $ rabbitmqctl add_vhost

worker servers. A worker server is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its survives most error scenarios, and your tasks will never be lost. Distributed Runs on one or more machines. Supports clustering when used in combination with RabbitMQ. You can set up new workers without Setting up RabbitMQ To use celery we need to create a RabbitMQ user, a virtual host and allow that user access to that virtual host: $ rabbitmqctl add_user myuser mypassword $ rabbitmqctl add_vhost

the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its recovery when using RabbitMQ, ensures your tasks are never lost. Distributed Runs on one or more machines. Supports broker clustering and HA when used in combination with RabbitMQ. You can set up new workers Setting up RabbitMQ To use celery we need to create a RabbitMQ user, a virtual host and allow that user access to that virtual host: $ rabbitmqctl add_user myuser mypassword $ rabbitmqctl add_vhost

the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its are never lost. scenarios, and your tasks will never be lost. Dis- tributed Runs on one or more machines. Supports broker clustering and HA when used in combination with RabbitMQ. You can set up new workers Setting up RabbitMQ To use celery we need to create a RabbitMQ user, a virtual host and allow that user access to that virtual host: 6 Chapter 1. Getting Started Celery Documentation, Release 2.3.5

the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its are never lost. scenarios, and your tasks will never be lost. Dis- tributed Runs on one or more machines. Supports broker clustering and HA when used in combination with RabbitMQ. You can set up new workers Setting up RabbitMQ To use celery we need to create a RabbitMQ user, a virtual host and allow that user access to that virtual host: 6 Chapter 1. Getting Started Celery Documentation, Release 2.2.10

worker servers. A worker server is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its survives most error scenarios, and your tasks will never be lost. Dis- tributed Runs on one or more machines. Supports clustering when used in combination with RabbitMQ. You can set up new workers without Setting up RabbitMQ To use celery we need to create a RabbitMQ user, a virtual host and allow that user access to that virtual host: 6 Chapter 1. Getting Started Celery Documentation, Release 2.1.4

the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its are never lost. scenarios, and your tasks will never be lost. Distributed Runs on one or more machines. Supports broker clustering and HA when used in combination with RabbitMQ. You can set up new workers Setting up RabbitMQ To use celery we need to create a RabbitMQ user, a virtual host and allow that user access to that virtual host: $ rabbitmqctl add_user myuser mypassword $ rabbitmqctl add_vhost