Canary
Monitoring Service for Openstack Taskflow's Jobboards
How does it work?
Task-ception
Canary is used to monitor other job-boards. The results are posted to MongoDB.
The dashboard uses meteor.js and will update in realtime, detecting changes in the MongoDB.
Console Scripts
canary-producerCanary's own producer process that posts jobs to Canary's jobboard
canary-workerCanary's conductor which pulls jobs off Canary's jobboard, to query paths submitted to it (using Taskflow) and post to cassandra with a timestamp
canary-serverCanary's WSGI server that serves job counts and corresponding jobs, over the period
of last x seconds (which is set as interval under canary.conf)
Dashboard
From the /dashboard folder, run:
$ export MONGO_URL=mongodb://localhost:27017/canary
$ meteor API
The API is optional. Usually the canary-producer is run via cron.
GET v1.0/jobs?path=/taskflow/jobs/myawesomejobs
HTTP/1.0 200 OK
Date: Fri, 27 Mar 2015 14:45:13 GMT
Server: WSGIServer/0.1 Python/2.7.6
content-type: application/json; charset=utf-8
[
{
"job_count": 1,
"jobs": [
{
"_backend": {
"connection": "zookeeper"
},
"_book": null,
"_book_data": {
"name": "myawesomeservice-2db7c7fb-e3d4-4602-8658-2c0ec0736b50",
"uuid": "81d22b6c-d11e-4c41-8e05-e423385a0ddc"
},
"_created_on": "2015-03-27T10:28:07.951000",
"_details": {
"store": {
"awesome": "sauce",
}
},
"_lock_path": "/taskflow/jobs/myawesomejobs/job0000000042.lock",
"_name": "myawesomeservice-2db7c7fb-e3d4-4602-8658-2c0ec0736b50",
"_node_not_found": false,
"_path": "/taskflow/jobs/myawesomejobs/job0000000042",
"_root": "/taskflow/jobs/myawesomejobs/",
"_sequence": 42,
"status": "CLAIMED",
"_uuid": "d76816c3-db93-4b66-8272-637b114a84e9"
},
]
}
]
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