Karthik Palaniappan

Results 3 issues of Karthik Palaniappan

We run the app timeline server on all masters, and point clients to $HOSTNAME to find the timeline server. This means that a) each Tez UI server only reads metrics...

Cloud Dataproc now natively supports [autoscaling](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling). Dataproc's autoscaling seems to be a superset of the functionality in Spydra's autoscaler. If you're interested, I'd be happy to take a stab at...

If I call client.wrap(HUGE_BUFFER) or client.unwrap(HUGE_BUFFER), where HUGE_BUFFER > max_buffer, it should raise an exception. The caller should probably call wrap() or unwrap() in a loop based on `client._chosen_mech.max_buffer`.