Member since
10-08-2015
87
Posts
143
Kudos Received
23
Solutions
My Accepted Solutions
Title | Views | Posted |
---|---|---|
1031 | 03-02-2017 03:39 PM | |
4696 | 02-09-2017 06:43 PM | |
14254 | 02-04-2017 05:38 PM | |
4524 | 01-10-2017 10:24 PM | |
3563 | 01-05-2017 06:58 PM |
01-07-2017
05:20 PM
1 Kudo
@learninghuman I hope this answered your questions. If so, please remember to accept my answer. Thank you! _Tom
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01-06-2017
10:49 PM
1 Kudo
@learninghuman
To help clarify, all of the data access components within HDP run on YARN. We view Mesos as one of the many alternatives for IaaS within the private cloud space (Openstack, VMware, etc.). Our aim is to support them all and provide our customers both connectivity and portability across them with HDF and HDP.
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01-05-2017
06:58 PM
2 Kudos
@learninghuman Cloudbreak currently offers a Technical Preview for deployment on Mesos. At a high level, Cloudbreak deployment on Mesos is similar to Cloudbreak implementations on other cloud providers: HDP clusters are provisioned through Ambari with the help of blueprints, and Ambari server and agents run in Docker containers. However, there are some important differences with other cloud providers:
Cloudbreak expects a "bring your own Mesos" infrastructure, which means that you have to deploy Mesos first and then configure access to the existing Mesos deployment in Cloudbreak. The Cloudbreak Mesos integration was designed not to include steps to first build the infrastructure as it does for other cloud environments, such as: creating or reusing the networking layer (virtual networks, subnets, and so on), provisioning new virtual machines in these networks from pre-existing cloud images, and starting docker containers on these VMs (nodes). From a YARN perspective, there is no difference between Mesos and other public / private clouds. YARN manages the compute capacity provided to it by the IaaS layer.
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01-05-2017
02:52 PM
1 Kudo
@Mahen Jay Perhaps the best way to test real-time issues from a student labs perspective is to dig into Ambari and HDP Upgrade. This is covered (with labs) in our HDP Operations: Hadoop Administration 2 course. See the HWU Training Catalog for more details.
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01-03-2017
05:49 PM
@learninghuman If this answer helps, please accept it. Otherwise, I'd be happy to answer any remaining questions you have.
Thanks! _Tom
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01-03-2017
05:48 PM
@Vivek Sharma If this answer helps, please accept it. Otherwise, I'd be happy to answer any remaining questions you have.
Thanks! _Tom
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01-03-2017
05:47 PM
@Vivek Sharma If this answer helps, please accept it. Otherwise, I'd be happy to answer any remaining questions you have.
Thanks! _Tom
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01-03-2017
05:46 PM
@Vivek Sharma If this answer helps, please accept it. Otherwise, I'd be happy to answer any remaining questions you have.
Thanks! _Tom
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01-02-2017
09:46 PM
2 Kudos
@Vivek Sharma With Cloudbreak Periscope, you can define a scaling policy and apply it to any Alert on any Ambari Metric. Scaling granularity is at the Ambari host group level. This feature, which we refer to as auto-scaling, is only a capability of Cloudbreak at this point in time. Per your line of questioning above, if you use Cloudbreak to provision HDP on either Azure IaaS or AWS IaaS, you can use the auto-scaling capabilities it provides. Both Azure HDInsight (HDI) and Hortonworks Data Cloud for AWS (HDC) make it very easy to manually re-size your cluster through their respective consoles. However, the auto-scaling feature described above is not available with either HDI or HDC at this point in time.
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