Cloudera Ambari
Cloudera Ambari is not a single product but rather a combination of two separate technologies: Cloudera and Apache Ambari. Here’s an explanation of both components:
Cloudera: Cloudera is a company that provides a distribution of Apache Hadoop and related big data technologies. They offer an enterprise-grade platform for managing and analyzing large datasets, often referred to as the Cloudera Data Platform (CDP). Cloudera’s platform includes various tools and services for data storage, processing, and analytics, such as Hadoop, Spark, Hive, Impala, and more.
Apache Ambari: Apache Ambari, on the other hand, is an open-source management and monitoring tool for Hadoop clusters. It simplifies the provisioning, management, and monitoring of Hadoop clusters by providing a web-based interface and automation capabilities. Ambari allows administrators to deploy, configure, and monitor Hadoop services and components, making it easier to maintain large-scale Hadoop environments.
When people refer to “Cloudera Ambari,” they may be talking about the management and monitoring capabilities provided by Ambari within a Cloudera-based Hadoop distribution. In this context, Cloudera leverages Apache Ambari to help users manage their Hadoop clusters effectively.
Key features of Apache Ambari include:
Cluster Setup: Ambari simplifies the initial setup of a Hadoop cluster by guiding users through the installation and configuration of various Hadoop services.
Service Management: Administrators can add, remove, start, stop, and restart Hadoop services and components through the web interface.
Configuration Management: Ambari provides a central location for configuring and managing the settings of Hadoop services, making it easier to maintain consistency across the cluster.
Monitoring and Alerts: It offers real-time monitoring of cluster health and performance, along with the ability to set up alerts based on various metrics.
Security: Ambari provides features for managing security settings and authentication in Hadoop clusters.
Rolling Upgrades: Administrators can use Ambari to perform rolling upgrades of Hadoop services, minimizing cluster downtime during updates.
Extension Points: Ambari is extensible, allowing users to integrate custom services and components into the management framework.
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