-
- gecko-t-win10-64-ms
- gecko-t-osx-1010
- gecko-t-linux-talos
- gecko-t-linux-talos-b
- gecko-t-osx-1010-beta
- gecko-t-win10-64-us
-
- gecko-t-linux-xlarge
- gecko-t-linux-large
- gecko-t-win7-32
- gecko-3-b-win2012
- gecko-3-b-linux
- gecko-t-win7-32-gpu
- gecko-t-win10-64
- gecko-1-b-linux
- gecko-1-b-win2012
- mobile-3-b-andrcmp
- gecko-t-win10-64-gpu
- github-worker
- releng-svc
- gecko-1-b-android
- gecko-3-b-android
- releng-svc-prod
- symbol-upload
- gecko-3-decision
- gecko-misc
- releng-svc-memory
- wpt-docker-worker
- servo-docker-worker
- gecko-1-decision
- application-services-r
- gecko-2-decision
- gecko-focus
- mobile-1-b-fenix
- mobile-1-decision
- mobile-3-decision
- taskcluster-images
- gecko-1-images
- gecko-3-images
- gecko-t-win10-64-alpha
- hg-worker
- mobile-1-b-andrcmp
- mobile-1-images
- servo-win2016
- taskcluster-generic
- android-components-g
- gecko-1-b-linux-large
- gecko-3-b-linux-large
- gecko-decision
- gecko-t-win10-64-cu
- gecko-t-win7-32-cu
- mobile-3-b-fenix
- releng-svc-compute
- servo-docker-untrusted
- tutorial
- win2012r2-cu
It is done using the Queue API/Service from taskcluster and a typical request looks like:
for the releng-hardware
https://queue.taskcluster.net/v1/pending/releng-hardware/gecko-t-osx-1010
and for AWS-Provisioned machines:
https://queue.taskcluster.net/v1/pending/aws-provisioner-v1/gecko-t-linux-xlarge
The repose is a JSON that looks like:
{
"provisionerId": "releng-hardware",
"workerType": "gecko-t-win10-64-ms",
"pendingTasks": 0
}
We are going to do a request once at 5-10 minutes, so that would be 10-12 requests and hour for each cluster type.
For the moment we want to display a few graphs with fixed time-base:
- one day
- two days
- one week
- two weeks
- one month
- 3 months
- 6 months
- 1 year
Since all of this data is going to be later used and graphs updated as times fly, we are putting the problem of how are we going to store all of the data. The most suited case for this would be CSV files for each type of clusters.
Short answer would be: Adding them to the github repository and embedding them in a markdown.
For later use: