Ambari Service (AAS)

Apache Ambari is an open-source software that provides an intuitive and user-friendly web-based UI and APIs for provisioning, management and monitoring of Hadoop clusters.

The EPAM Cloud Service creates an Ambari-Server for your project, sets up a cluster of Ambari-Agents that deploy a chosen stack of Hadoop bundle for you and provide the existing Ambari facilities for managing the Hadoop cluster of yours.

Ambari as a Service is based on Hortonworks Ambari 2.2.0.

You can create Ambari resources in both AWS and standard EPAM cloud regions. Please, keep in mind the following service performance specifics:

  • If you need to create at least one Cluster resource in Amazon, Ambari server should also be hosted in AWS, in the same region.
  • All AWS-hosted Ambari resources should be hosted in the same region.
  • You can run Cluster resources in several regions simultaneously, including both EPAM and AWS regions. In this case, the server should be hosted in AWS.
  • When an AWS-based Ambari resource is stopped and started again, it changes DNS and loses connection to other Ambari resources. Please, keep your AWS Ambari resources running.

Ambari as a Service is delivered in cooperation with Big Data Competency Center, who are responsible for the application initial settings and performance. In case you encounter any issues with the service usage, please address the Big Data CC.

Have a Question?

The current page gives the general information on the service and the main workflows. However, while working with the services, our users encounter new questions they need assistance with. The most frequently asked questions on EPAM Cloud Services are gathered on the Cloud Services FAQ page.
Visit the page to check whether we have a ready answer for your question.

Related Commands

The table below provides the list of service-related commands and their descriptions:

Command Short Command Description
or2-manage-service ...
-s ambari -a -c cluster_name -k key
or2ms Starts the service in the specified project and region
or2-ambari-cluster or2ac Sets up an Ambari cluster for the project
-p project -r region
-s cluster_stack_name
or2dmsr Retrieves the information on the resources created in the Ambari cluster
-p project -r region
-l "cluster_name=your_cluster_name"

Further on this page, you can find the examples of the commands usage for Ambari Service manipulation.

Starting a One-Node Ambari Server and Configuring the Cluster

To activate the service and create an Ambari server, run the or2-manage-service (or2ms) command with --activate (-a) , --service-name (-s) ambari and other necessary flags:

or2ms -p project -r region -a -s ambari -c cluster_name -k key --customize


  • -c (--cluster-name) specifies the name for the newly created Ambari cluster.
  • -k (--key-name) the SSH key name that will be used for all Ambari resources.
  • --customize is an optional parameter that allows to customize the parameters defined in the service stack template, including the blueprint to be used, in case you don't want to use the default one(see the details below).

Ambari Blueprint is a declarative definition of a cluster. With a Blueprint, you specify a Stack, the Component layout and the Configurations to materialize a Hadoop cluster instance (via a REST API) without having to use the Ambari Cluster Install Wizard.

The service, when activated, starts an Ambari-server (CentOS6-template, MEDIUM) and reserves a cluster with the specified name and configuration parameters.

Configuring and Starting Cluster Nodes

When the Server is up and running, you can start setting up the Ambari-Agents and describe the cluster configuration parameters.

All the settings are taken from two files:

  • The blueprint file you specified at the Ambari-Serveractivation step. It provides the information on the software stack to be installed on the cluster's VMs.
  • The configuration file you specify with the or2-ambari-cluster command describes the cluster hardware stack (the number of VMs in each group, additional volumes attached to those, etc.). The command is called as follows:
or2ac -p project -r region -c cluster_name -a create --config-file json

where -c is the name of the Ambari cluster you want to set up, and --config-file is the full path to a locally stored .json file with cluster configurations (see Configuration Example below on this page) .

To make sure that the cluster was started successfully, use the or2-describe-services Maestro CLI command:

Before you start creating an Ambari cluster, please, make sure that the action will not exceed the project resource quota (either daily or monthly). If it does, the cluster creation will fail, but some of the resources may remain active and billed.
To see your monthly quota usage info, please, call the command:

or2report -p project -r region -y year -m month -t quota

To see your project daily quota limitation, use:

or2dpro -p project --full and see the volumeCreationInterval_count, instanceCreationInterval_count and maxVolumeSizw_GB values for resource creation and volumes size limits.

Manipulating Cluster Nodes

The or2-abmari-cluster (or2ac) command can also be used to start and stop all existing Ambari clusters at once:

  • To stop all the existing cluster instances, run the or2ac command with the -a stop parameter:
or2ac -c cluster_name -p project -r region -a stop
  • To start all the stopped Ambari cluster instances and all the services in Abmari, use the or2ac command with -a start parameter:
or2ac -c cluster_name -p project -r region -a start

Ambari Info

There are several ways to get the information on the resources engaged in Ambari Service:

  • To get the service availability, the name of the stack that launched the service and the details on the Ambari Server, use:
or2dser -p project -r region
  • To get the information on the resources created in the Ambari cluster, use the following commands:
or2dmsr -p project -r region -s cluster_stack_name


or2din -p project -r region -l "cluster_name=your_cluster_name"


or2ac -p project -r region -a describe

Web UI

When you start the Ambari service and the server is run, you can login to it using its DNS name and port 8080:


The server URL is also returned as a part of or2-describe-services command output.

Use the following credentials to login to the Ambari server in EPAM Cloud regions:

  • Login: admin
  • Password: admin

To login to the Ambari Server hosted in AWS, please, use the 'centos' login and the SSH key you specified at service start.

However, there is no information on the server until the Ambari cluster resources are up and running. After the or2-ambari-cluster command execution, the information on the cluster resources appear on the Server. You will see an operation on maestro on the main toolbar, and if you click it, you will get the statistics on the cluster resources setup:

It is strongly recommended not to perform any operations on the server till the setup is finished.

When the setup is completed, the Ambari service is ready to use.


The service usage price is defined by the price of the created Ambari Resources and will depend on the number and parameters of cluster VMs.

To get more detailed estimations, please, use our Cost Estimator tool.


To find out more details on Ambari as a product, please visit the Apache Ambari web-page.

More information on the Ambari Service can be found in the EPAM Cloud Services Guide. For detailed description of the Maestro CLI commands used to manage the Ambari Service, refer to the Maestro CLI User Guide.