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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Ganglia vs Monitorix

Ganglia vs Monitorix

OverviewComparisonAlternatives

Overview

Ganglia
Ganglia
Stacks27
Followers88
Votes0
Monitorix
Monitorix
Stacks5
Followers15
Votes0
GitHub Stars1.2K
Forks172

Ganglia vs Monitorix: What are the differences?

Introduction: In the realm of system monitoring tools, Ganglia and Monitorix stand out as popular solutions. Despite serving similar purposes, they possess distinct features that set them apart from each other.

  1. Architecture: Ganglia follows a client-server architecture where metrics are sent from the client hosts to the Ganglia monitoring server for storage and processing. On the other hand, Monitorix operates in a standalone mode with all data collection, processing, and display functionalities integrated on a single machine. This difference in architecture impacts scalability and ease of deployment in complex environments.

  2. Extensibility: Ganglia is highly extensible due to its modular architecture, allowing users to incorporate custom plugins and metrics seamlessly. Monitorix, while offering a variety of built-in monitoring capabilities, lacks the extensibility of Ganglia, limiting the ability to tailor monitoring to specific needs through plugins or extensions.

  3. Interface: Ganglia provides a web-based interface that is highly customizable and offers in-depth visualization capabilities for monitoring numerous hosts and metrics efficiently. In contrast, Monitorix features a simpler, more streamlined interface with fewer customization options and a focus on displaying essential system metrics in a straightforward manner.

  4. Alerting Mechanisms: Ganglia provides robust alerting mechanisms that can be configured to notify administrators based on predefined thresholds or anomalies in the monitored data. Monitorix, while offering basic alerting features, lacks the advanced alerting capabilities and flexibility of Ganglia for creating complex notification strategies.

  5. Supported Platforms: Ganglia has broad platform support, enabling monitoring of a wide range of operating systems and infrastructure components, making it suitable for heterogeneous environments. Monitorix, on the other hand, primarily focuses on Linux systems and lacks comprehensive support for monitoring non-Linux-based systems, limiting its versatility in mixed-platform environments.

  6. Community and Development: Ganglia has a well-established community and active development, providing frequent updates, bug fixes, and new features to users. In comparison, Monitorix's development and community support may not be as robust as Ganglia's, resulting in potentially slower responses to issues and fewer resources for users seeking assistance.

In Summary, Ganglia and Monitorix differ in their architecture, extensibility, interface, alerting mechanisms, supported platforms, and community support, catering to different monitoring needs based on system complexity and customization requirements.

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Detailed Comparison

Ganglia
Ganglia
Monitorix
Monitorix

It is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters.

It has been created to be used under production Linux/UNIX servers, but due to its simplicity and small size can be used on embedded devices as well.

-
System load average and usage; Global kernel usage; Per-processor kernel usage; Generic sensors statistics; IPMI sensor statistics; NVIDIA temperatures and usage
Statistics
GitHub Stars
-
GitHub Stars
1.2K
GitHub Forks
-
GitHub Forks
172
Stacks
27
Stacks
5
Followers
88
Followers
15
Votes
0
Votes
0
Integrations
No integrations available
Linux
Linux
Datadog
Datadog
PagerDuty
PagerDuty
VictorOps
VictorOps
Server Density
Server Density
Alerta
Alerta
Bigpanda
Bigpanda

What are some alternatives to Ganglia, Monitorix?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Nagios

Nagios

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

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

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