#Celery CloudWatch

Monitor your celery application from within AWS CloudWatch!

##Metrics

The following events are tallied per task:

• CeleryTaskEventWaiting
• CeleryTaskEventRunning
• CeleryTaskEventCompleted
• CeleryTaskEventFailed

You can then see how many tasks/day, tasks/week etc are being completed.

Also, statistics on task duration are sent in the metrics:

• CeleryTaskQueuedTime
• CeleryTaskProcessingTime

These metrics are sent with all supported stats (No. Events, Sum, Max, Min), allowing you to gain insight into your task processing and match requests and capacity.

Finally, the following metrics are sent as overalls (for each queue):

• CeleryQueueSize
• CeleryRunningTasks

#Getting Started

1. Set up an IAM Role for your instance.

   It must include a policy to perform 'PutMetricData', eg:

   {
     "Version": "2000-01-01",
     "Statement": [
       {
         "Effect": "Allow",
         "Action": [
           "cloudwatch:PutMetricData"
         ],
         "Resource": [
           "*"
         ]
       }
     ]
   }
   

   (Note: Alternitavely, you can set up a User with the same policy and provide access details that way)

2. Install via python-pip (and upgrade pip & boto)

   sudo apt-get install -y python-pip
   sudo pip install --upgrade pip boto
   
   # Install directly
   sudo pip install celery-cloudwatch
   
   # OR, install in a virtualenv
   sudo apt-get install -y python-virtualenv
   mkdir /var/python-envs
   virtualenv /var/python-envs/ccwatch
   source /var/python-envs/ccwatch/bin/activate
   pip install celery-cloudwatch

3. Create your own boto.cfg at /etc/boto.cfg

   [Credentials]
   # if not using an IAM Role - provide aws key/secret
   aws_access_key_id = xxx
   aws_secret_access_key = yyy
   
   [Boto]
   cloudwatch_region_name = my-region
   cloudwatch_region_endpoint = monitoring.my-region.amazonaws.com
   
   

4. Create your own config file in /etc/ccwatch.cfg

   [ccwatch]
   broker = amqp://guest@localhost:5672//
   
   [cloudwatch-camera]
   ; the "Custom Metrics" category to use
   namespace = celery
   ; provide a list of tasks
   tasks = myapp.mytasks.taskname
           myapp.mytasks.anothertask
           myapp.mytasks.thirdtask
   queues = celery
   
   [cloudwatch-camera-dimensions]
   ; additional dimensions to send through with each metric
   ; eg.
   ; app = myapp
   

5. Install upstart

   Create a file /etc/init/celery-cloudwatch.conf

   description "Celery CloudWatch"
   author "nathan muir <[email protected]>"
   
   setuid nobody
   setgid nogroup
   
   start on runlevel [234]
   stop on runlevel [0156]
   
   exec /var/python-envs/ccwatch/bin/ccwatch
   respawn
   

   then

   sudo initctl reload-configuration
   sudo service celery-cloudwatch start

6. Start Celery your celery workers with the -E (or CELERY_SEND_EVENTS=1) option, and, start celery clients with CELERY_SEND_TASK_SENT_EVENT=1

7. All done! head over to your CloudWatch monitoring page to see the results!