Explanation
- Ambari Server
- Ambari Agent
- Ambari Web UI
- Database
1. Ambari Server
The entry point for all administrative activities on the master server is known as Ambari Server. It is a shell script. Internally, this script uses Python code, ambari-server.py, and routes all requests to it.
Ambari Server consists of several entry points that are available when passed different parameters to the Ambari Server program. They are:
- Daemon management
- Software upgrade
- Software setup
- LDAP (Lightweight Direct Access Protocol)/PAM (Pluggable Authentication Module) /Kerberos management
- Ambari backup and restore
- Miscellaneous options
2. Ambari Agent
Ambari Agent runs on all the nodes that you want to manage with Ambari. This program periodically sends heartbeats to the master node. By using Ambari Agent, Ambari Server executes many tasks on the servers.
3. Ambari Web User Interface
Ambari Web UI is one of the powerful features of Apache Ambari. The web application is deployed through the server of Ambari program which is running on the master host exposed on port 8080. This application is protected by authentication. You can access and then control and view all aspects of your Hadoop cluster, once you log in to the web portal.
4. Database
Ambari supports multiple RDBMS (Relational Database Management Systems) to keep track of the state of the entire Hadoop infrastructure. You can choose the database you want to use during the setup of Ambari. Ambari supports these following databases at the time of writing:
- PostgreSQL
- Oracle
- MySQL or MariaDB
- Embedded PostgreSQL
- Microsoft SQL Server
- SQL Anywhere
- Berkeley DB
This technology is preferred by the Big Data Developers as it is quite handy and comes with a step-by-step guide allowing easy installation on the Hadoop cluster. Its preconfigured key operational metrics provide a quick look into the health of the Hadoop core, i.e., HDFS and MapReduce, along with the additional components such as Hive, HBase, HCatalog, etc. Ambari sets up a centralized security system by incorporating Kerberos and Apache Ranger into the architecture. The RESTful APIs monitor the information and integrate the operational tools. Its user-friendliness and interactivity have made it enter the list of top 10 open-source technologies for the Hadoop cluster.