The Hortonworks Blog

Posts categorized by : Ambari

A crucial requirement of any enterprise technology is to ensure simplest possible management and operation. We think that simplicity means two things: 1) integration with existing infrastructure and tools and 2) leveraging existing knowledge and skills.

Download the beta release of Ambari SCOM Management Pack here.

Ambari (http://incubator.apache.org/ambari/) was introduced as an Apache incubator project with the aim of developing the best management tool for Hadoop applying our principles of open source community development for rapid innovation and solving the right problems for enterprises.…

Thanks to all those who joined in person and virtually for the Apache Ambari Meetup at Hortonworks this week. We talked tech, we saw demos, we laughed, we cried, we ate pizza.

The central theme of the night was the newly added support for Hadoop 2. Ambari now has:

  • Hadoop 2 Stack: Ambari adds support for installing, managing and monitoring a Hadoop 2 Stack.
  • NameNode HA: Configure NameNode High Availability based on QJM support built-into HDFS2
  • YARN: Ambari manages YARN Service lifecycle and automatically deploys the MapReduce2 framework.

In this blog we’ll set up NFS for HDFS access with the Hortonworks Sandbox 1.3. This allows the reading and writing of files to Hadoop using familiar methods to desktop users. Sandbox is a great way to understand this particular type of access.

If you don’t have it already, then download the sandbox here. Got the download? Then let’s get started.

Start the Sandbox. Get to this screen.

We will now enable Ambari so that we can edit the configuration to enable NFS.…

We are excited to announce today that Hortonworks is bringing Windows-based Hadoop Operational Management functionality via Management Packs for System Center. These management packs will enable users to deploy, manage and monitor Hortonworks Data Platform (HDP) for both Windows and Linux deployments. The new management packs for System Center will provide management and monitoring of Hadoop from a single System Center Operations Manager console, enabling customers to streamline operations and ensure quality of service levels.…

Microsoft has begun to treat its developer community to a number of Hadoop-y releases related to its HDInsight (Hadoop in the cloud) service, and it’s worth rounding up the material. It’s all Alpha and Preview so YMMV but looks like fun:

  • Microsoft .NET SDK for Hadoop. This kit provides .NET API access to aspects of HDInsight including HDFS, HCatalag, Oozie and Ambari, and also some Powershell scripts for cluster management. There are also libraries for MapReduce and LINQ to Hive.

And we are just about done with this week. But not quite – dig into the conversation from the past few days.

Hadoop Summit. We published the vast majority of sessions (70 so far) for the Hadoop Summit in San Jose, 26-27 June. The sessions stretch across 7 tracks from Architecture to Economics and we hope you can join us for THE Hadoop community event of the year. You can register here, and the schedule is here.…

Almost time to spend a relaxing weekend in the garden, or crushing some data in your garage-based homebrew Hadoop cluster – whichever you prefer. But before we choose our path, let’s take a look at the last two weeks of happenings (I was lost in Oregon last week).

Hadoop is the perfect app for OpenStack. While I was struggling with driving directions, Red Hat, Marantis and Hortonworks were announcing plans for Project Savanna which aims to automate the deployment of Hadoop on enterprise-class OpenStack-powered clouds. …

On April 2nd, Hortonworks was excited to host the very first Apache Ambari Meetup. Thanks to all those who came along in person and virtually for a lot of vibrant discussion. If you would like to get involved in future Ambari Meetups, please visit this link. We are well on the way to making Hadoop management ‘dead simple’.

We have embedded the sessions below with some notes:

Overview and Demo of Ambari, Yusaku Sako, Hortonworks

  • This session covered Apache Ambari’s mission to “Make Hadoop management dead simple”, Ambari’s 4 major roles: 1) Provision, 2) Manage, 3) Monitor, and 4) Integrate, emphasized that everything that Ambari’s Web Client does is done thru Ambari’s REST API (100% REST), presented high-level architecture, and a live demo on how to provision, manage, and monitor a Hadoop cluster using the latest Ambari 1.2.2 release.

Check out our new knowledgebase article on Ambari on EC2. With these instructions, you can boot an EC2 Apache Hadoop cluster in minutes using Ambari.

Hot on the heels of the release of the new version of Sandbox, I thought it would be worth a look at Ambari as it is now integrated into the Sandbox VM. You can download the Hortonworks Sandbox and try it out for yourself!

Apache Ambari is a web-based tool for provisioning, managing, and monitoring Apache Hadoop clusters. It greatly simplifies and reduces the complexity of running Apache Hadoop. Ambari is a fully open-source, Apache project and graphical interface to Hadoop.…

Over the course of 2012, through Hortonworks’ leadership within the Apache Ambari community we have seen the rapid creation of an enterprise-class management platform required for enabling Apache Hadoop to be an enterprise viable data platform.  Hortonworks engineers and the broader Ambari community have been working hard on their latest release, and we’d like to highlight the exciting progress that’s been made to Ambari, a 100% open and free solution that delivers the features required from an enterprise-class management platform for Apache Hadoop.…

The Hortonworks Data Platform (HDP) conveniently integrates numerous Big Data tools in the Hadoop ecosystem. As such, it provides cluster-oriented storage, processing, monitoring, and data integration services. HDP simplifies the deployment and management of a production Hadoop-based system.

In Hadoop, data is represented as key/value pairs. In HBase, data is represented as a collection of wide rows. These atomic structures makes global data processing (via MapReduce) and row-specific reading/writing (via HBase) simple.…

We had another amazing turn out on our Ambari webinar with Matt Foley a couple of weeks back. This series was meant to educate Hadoop enthusiasts and help them gain better understanding of the value of Hadoop and I think we’re on the right track. If you missed or would like a refresher from our last two webinars (Pig and Ambari) you can find the recording here: https://hortonworks.com/webinars/

We’re starting the third installment of the “Future of Apache Hadoop” series next Wednesday on “Scaling Apache Zookeeper to the Next Generation Applications” with Mahadev Konar (@mahadevkonar) Hortonworks co-founder and core contributor and PMC member of the Apache Zookeeper.…

I hope you had fun pigging out to Hadoop with Alan Gates. We had interesting questions during the webinar and as always, your participation in these discussions will help us understand different use cases of Apache Pig and the growing community around this project. The recording is now available on our webinar site.

For the next installation of “Future of Apache Hadoop” webinar series, I would like to introduce to you Matt Foley and Ambari. …

During the ‘Future of Apache Hadoop’ webinar series, Hortonworks founders and core committers will discuss the future of Hadoop and related projects including Apache Pig, Apache Ambari, Apache Zookeeper and Apache Hadoop YARN.

Apache Hadoop has rapidly evolved to become the leading platform for managing, processing and analyzing big data. Consequently there is a thirst for knowledge on the future direction for Hadoop related projects. The Hortonworks webinar series will feature core committers of the Apache projects discussing the essential components required in a Hadoop Platform, current advances in Apache Hadoop, relevant use-cases and best practices on how to get started with the open source platform.…

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