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  Ambari and Hadoop configuration, management and monitoring of the project Getting
  Add Date : 2018-11-21      
  Ambari is 100% open source and included in HDP, greatly simplifying installation and initial configuration of Hadoop clusters. In this article we'll be running through some installation steps to get started with Ambari. Most of the steps here are covered in the main HDP documentation here.

Ambari is a 100% open-source, it included in the HDP platform, making the project installation and initialization hadoop cluster configurations. This article will introduce Ambari installation steps. Most of the content here are included in the HDP document.

The first order of business is getting Ambari Server itself installed. There are different approaches to this, but for the purposes of this short tour, we'll assume Ambari is already installed on its own dedicated node somewhere or on one of the nodes on the (future) cluster itself. Instructions can be found under the installation steps linked above. Once Ambari Server is running, the hard work is actually done. Ambari simplifies cluster install and initial configuration with a wizard interface, taking care of it with but a few clicks and decisions from the end user Hit http:. // :..! 8080 and log in with admin / admin Upon logging in, we are greeted with a user-friendly, wizard interface Welcome to Apache Ambari Name that cluster and let's get going.

The first step in the installation Ambari the service side, we simply say that we assume Ambari server has been successfully installed on proprietary node that is part of the cluster. In the above-mentioned connection is installed inside. When the server is running Ambari, responsible for the work has already begun. Ambari provide a friendly interactive entry to simplify the installation and configuration of the cluster, easy operation can be configured, in particular, login to your node http: // ip: 8080 / and then use admin / admin login. After landing a name to the cluster.
Now we can target hosts for installation with a full listing of host names or regular expressions (in situations when there are many nodes with similar names):

Now let's configure the machine list (you can use a regular node to match a similar machine name)

. The next step is node registration, with Ambari doing all of the heavy lifting for us An interface to track progress and drill down into log files is made available:

Next is a registered node, Ambari help us to do, and can provide an interface to view the execution process,

Upon registration completion, a detailed view of host checks run and options to re-run are also available:

Once registration is completed, the machine detects the current status

Next, we select which high level components we want for the cluster Dependency checks are all built in, so no worries about knowing which services are pre-requisites for others.:

Next, we choose we need to install the module, built-in dependency checking

After service selection, node-specific service assignments are as simple as checking boxes:

Next service selection, easy customization

This is where some minor typing may be required Ambari allows simple configuration of the cluster via an easy to use interface, calling out required fields when necessary.:

Here it requires only a few simple inputs. When you need to install the service, Ambari supports easy configuration on the page.

Once configuration has been completed, a review pane is displayed. This is a good point to pause and check for anything that requires adjustment. The Ambari wizard makes that simple. Things look fabulous here, though, so onwards!

When the configuration is complete, the preview will be hidden. This is the start and pause detection relies .Ambari makes this guide is very simple, although just started, but it looks pretty cool.
. Ambari will now execute the actual installation and necessary smoke tests on all nodes in the cluster Sit back and relax, Ambari will perform the heavy lifting yet again:

Ambari now supports the installation and the necessary smoke tests in a real environment, all nodes of the cluster. Relaxation scare sit, let Ambari start doing the heavy lifting chores.

If you are itching to get involved, detailed drill-downs are available to monitor progress:

If you want to check the next, you can talk to these procedures to view the monitoring process.

Ambari tracks all progress and activities for you, dynamically updating the interface:

Ambari collect all processes and activity data, and dynamically updates to the page:

And just like that, we have our Hortonworks Data Platform Cluster up and running, ready for that high priority POC:

See below, you have to speak HDP run up, ready to start work ...

Go forth and prosper, my friends. May the (big) data be with you.
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