Storage Hangout: Hadoop Plug-in Refresh Release and Ambari Project with Erin Boyd

In today’s Storage Hangout, Brian catches up with Erin Boyd, principle software engineer of Red Hat Big Data to learn about the Hadoop Plug-in Refresh Release. You can see the release information in detail here.

Q: Tell us more about the Hadoop Plug-in Refresh release. What can the big data community expect from this new release?

A: For the latest release of the plugin we have joined forces with our partner, Hortonworks, to release their 2.1 version of Hortonworks Data Platform for Hadoop using Ambari.

Q: What is Ambari and why should organizations use it?

A: Ambari is the only open source Hadoop management tool in the ASF and the preferred tool used by Hortonworks to release their Data Platform. The ASF is the Apache Software Foundation.  The foundation works through a common goal of open source for all and helps manage and govern projects through project committers. Ambari is used to provision, manage and monitor Hadoop clusters. Ambari provides a wizard to easily deploy clusters across many different hosts, allowing the user to select and configure their Hadoop services taking a lot of the guesswork out of the equation. By providing the services in a ‘stack’ configuration, the user can be confident the services they select will work properly when deployed together.

Q: You mentioned the Hadoop landscape is changing…how is Ambari embracing these changes?

A: New services in HDP 2.1.GlusterFS

  • New services from tech preview
    • Tez
    • Hbase
  • Security
    • Identity Manager integration for the application of LDAP and Kerberos
  • User experience
    • Simplified installation experience
    • Improved presence of GlusterFS on UI for better customization

The Ambari community has been a leader expanding the traditional Hadoop stack to encompass lots of new technologies. As in the 2.1 version we are releasing today with the Hadoop plug-in refresh release, we have services like Tez, Hive and HBase to name a few along with the traditional MapReduce services to expand the options to our big data customers. We have expanded the stack from our tech preview release a few months ago by 5 new services.

We have also been leaders in implementing a Hadoop Compatible File System adoption by the Hadoop community. Another Apache project, Bigtop, of whom our team has a committer, Jay Vyas, has created a standard for non-HDFS file systems. Bigtop is helping push the envelope on standardizing the services and continuous integration and testing of them. It’s an exciting project and we are glad to be part of it.
In the next release of Ambari, it will have the ability to deploy a Bigtop stack as well.

Q: How much does Red Hat participate in the Ambari project?

A: Currently I lead a team of developers, all of whom are Ambari committers. Red Hat has the second most committers behind Hortonworks for the Ambari project.

Q: What are some new features we can expect to see in Ambari in the coming months?

A: There are some huge changes going on in Ambari we can expect to release in the first quarter of 2015. One of the features I think is really going to be a win is the release of Ambari views. Views create a more user centric feature to Ambari that was previously missing. It allows us to create plug-able interfaces within Ambari focused on what our customers want and need to see to better understand their data and issues in their cluster. It will allow users to get the most out of Hadoop. In addition, the next release will have 7 new services to continue to expand analytics capability and create more secure clusters. It is a true testament to the agility of the Ambari community to embrace and implement new technologies right on the cutting edge. We are excited to continue partnering with Hortonworks to bring new technologies to our Red Hat customers.

 

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s