Start/Stop cluster HDInsight
The possibility to start and stop a cluster. Now is only available delete the cluster and I do not want any charge unnecessarily if I don't use the cluster for several days.
[Update] Thanks for your continued feedback on this capability! Rest assured that we are tracking this request closely along with several other platform capabilities our customers have requested. In the meanwhile, you can leverage cluster scaling capability to adjust HDInsight cluster size according to your varying compute needs. Azure Data Factory is another option you can explore for scheduling jobs with automatic creation and deletion of clusters: https://azure.microsoft.com/en-us/documentation/articles/data-factory-data-transformation-activities/
Microsoft Azure HDInsight
Brandon Bass commented
This is a necessary feature for my team, we'd love to use the platform but starting and deleting a cluster is not a way forward.
April 2016. New interface redesign, but still not this feature? Please, this is necessary. Azure is otherwise the best platform right now for HDP.
It's time in 2016... This recommendation still on the air
Wow. Hard to believe. This issue alone is enough to make me walk away from Azure.
I think still the same, wasting time
We too stayed away from HDInsight due to not being able to start and stop a cluster, versus having to delete the whole thing and recreate it.
Mikel Urkia commented
Last message from Microsoft is from Apr 15, 2014. Any news in this regard?
+3 votes for this
Corey Lane commented
I'd love to see this feature implemented. It's a major pain to have to delete my cluster and create a new one every time I want to run a Hadoop job. If I could just suspend the instance so that I wouldn't be charged for unused time and boot it back up with the same name, password, etc. it would be much more useful. We recently moved away from HDInsight because of this.
Jamie Thomson commented
Great idea. Similarly I'd like to be able to scale my cluster up or down (i.e. add or remove data nodes).