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Ambari vs Nagios: What are the differences?

Introduction

In the realm of IT infrastructure monitoring and management, Ambari and Nagios are two popular tools that serve distinct purposes.

  1. Installation and Configuration: Ambari is specifically designed for managing and monitoring Hadoop clusters, providing a user-friendly interface for cluster provisioning. In contrast, Nagios, being a general-purpose monitoring tool, requires separate configurations for each device and service to be monitored, making the setup process more complex and time-consuming.

  2. Alerting Mechanisms: Nagios offers extensive alerting capabilities for system administrators, including notifications via email, SMS, or custom scripts when a predefined threshold is breached. On the other hand, Ambari focuses more on providing real-time insights into the health and performance of Hadoop clusters, with alert integrations being more limited in comparison to Nagios.

  3. Scalability and Flexibility: Ambari is well-suited for scaling and managing large Hadoop clusters, offering automation features for tasks like adding or removing nodes dynamically. Conversely, while Nagios can also handle large infrastructures, its configuration and management may become cumbersome as the scale increases, requiring additional effort to maintain flexibility.

  4. Graphical User Interface (GUI): One notable difference between Ambari and Nagios is the GUI. Ambari provides a comprehensive web-based dashboard that visualizes the entire Hadoop cluster's status and performance metrics in a user-friendly manner. In contrast, Nagios primarily relies on text-based configuration files and a less graphically intuitive interface for monitoring and managing systems.

  5. Community and Support: Nagios boasts a large user community and a wide range of plugins developed by the community to enhance its monitoring capabilities. Ambari, on the other hand, has a more focused community centered around Hadoop ecosystem users, providing specialized support and resources for Hadoop cluster management.

  6. Integration and Ecosystem: Another key difference lies in the integration capabilities of the two tools. While Nagios supports a variety of third-party integrations and plugins for monitoring different technologies and services, Ambari is specifically tailored for the Hadoop ecosystem, offering seamless integration with components like HDFS, YARN, and Hive, thus providing a more cohesive monitoring solution for Hadoop environments.

Summary

In summary, while Ambari excels in managing Hadoop clusters with ease and providing a specialized monitoring solution, Nagios offers more flexibility and customization options for general system monitoring across diverse infrastructures.

Decisions about Ambari and Nagios
Matthias Fleschütz
Teamlead IT at NanoTemper Technologies · | 2 upvotes · 128.1K views
  • free open source
  • modern interface and architecture
  • large community
  • extendable I knew Nagios for decades but it was really outdated (by its architecture) at some point. That's why Icinga started first as a fork, not with Icinga2 it is completely built from scratch but backward-compatible with Nagios plugins. Now it has reached a state with which I am confident.
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Pros of Ambari
Pros of Nagios
  • 2
    Ease of use
  • 53
    It just works
  • 28
    The standard
  • 12
    Customizable
  • 8
    The Most flexible monitoring system
  • 1
    Huge stack of free checks/plugins to choose from

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- No public GitHub repository available -

What is Ambari?

This project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. It provides an intuitive, easy-to-use Hadoop management web UI backed by its RESTful APIs.

What is Nagios?

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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What are some alternatives to Ambari and Nagios?
Hue
It is open source and lets regular users import their big data, query it, search it, visualize it and build dashboards on top of it, all from their browser.
Zookeeper
A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.
Apache Mesos
Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
Yarn
Yarn caches every package it downloads so it never needs to again. It also parallelizes operations to maximize resource utilization so install times are faster than ever.
Kubernetes
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
See all alternatives