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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Centreon vs Metricbeat

Centreon vs Metricbeat

OverviewDecisionsComparisonAlternatives

Overview

Centreon
Centreon
Stacks42
Followers84
Votes0
GitHub Stars136
Forks52
Metricbeat
Metricbeat
Stacks48
Followers125
Votes3

Metricbeat vs Centreon: What are the differences?

Metricbeat: A Lightweight Shipper for Metrics. Collect metrics from your systems and services. From CPU to memory, Redis to NGINX, and much more, It is a lightweight way to send system and service statistics; Centreon: All-in-one IT Monitoring Solutions. It is a network, system, applicative supervision and monitoring tool. It is one of the most flexible and powerful monitoring softwares on the market; it is absolutely free and Open Souce.

Metricbeat and Centreon can be categorized as "Monitoring" tools.

Some of the features offered by Metricbeat are:

  • System-Level Monitoring
  • system-level CPU usage statistics
  • Network IO statistics

On the other hand, Centreon provides the following key features:

  • Supervision of hybrid infrastructures, from one end to the other
  • Open and flexible architecture that fits your organization
  • Open-source solution, downloadable for free

Centreon is an open source tool with 334 GitHub stars and 203 GitHub forks. Here's a link to Centreon's open source repository on GitHub.

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Advice on Centreon, Metricbeat

vivek
vivek

Jun 8, 2020

Needs adviceonCentreonCentreonZabbixZabbixDatadogDatadog

My team is divided on using Centreon or Zabbix for enterprise monitoring and alert automation. Can someone let us know which one is better? There is one more tool called Datadog that we are using for cloud assets. Of course, Datadog presents us with huge bills. So we want to have a comparative study. Suggestions and advice are welcome. Thanks!

796k views796k
Comments
Sunil
Sunil

Team Lead at XYZ

Jun 15, 2020

Needs adviceonPrometheusPrometheusGrafanaGrafanaLinuxLinux

Hi, We have a situation, where we are using Prometheus to get system metrics from PCF (Pivotal Cloud Foundry) platform. We send that as time-series data to Cortex via a Prometheus server and built a dashboard using Grafana. There is another pipeline where we need to read metrics from a Linux server using Metricbeat, CPU, memory, and Disk. That will be sent to Elasticsearch and Grafana will pull and show the data in a dashboard.

Is it OK to use Metricbeat for Linux server or can we use Prometheus?

What is the difference in system metrics sent by Metricbeat and Prometheus node exporters?

Regards, Sunil.

595k views595k
Comments

Detailed Comparison

Centreon
Centreon
Metricbeat
Metricbeat

It is a network, system, applicative supervision and monitoring tool. It is one of the most flexible and powerful monitoring softwares on the market; it is absolutely free and Open Souce.

Collect metrics from your systems and services. From CPU to memory, Redis to NGINX, and much more, It is a lightweight way to send system and service statistics.

Supervision of hybrid infrastructures, from one end to the other;Open and flexible architecture that fits your organization;Open-source solution, downloadable for free; The supervision of dynamic infrastructures, with ease
System-Level Monitoring; system-level CPU usage statistics; Network IO statistics
Statistics
GitHub Stars
136
GitHub Stars
-
GitHub Forks
52
GitHub Forks
-
Stacks
42
Stacks
48
Followers
84
Followers
125
Votes
0
Votes
3
Pros & Cons
No community feedback yet
Pros
  • 2
    Simple
  • 1
    Easy to setup
Integrations
Amazon RDS
Amazon RDS
Amazon CloudFront
Amazon CloudFront
Amazon ElastiCache
Amazon ElastiCache
AWS Lambda
AWS Lambda
Azure Active Directory
Azure Active Directory
Cassandra
Cassandra
Azure Storage
Azure Storage
Amazon S3
Amazon S3
Azure Monitor
Azure Monitor
Azure SQL Database
Azure SQL Database
Redis
Redis
Linux
Linux
NGINX
NGINX
Windows
Windows

What are some alternatives to Centreon, Metricbeat?

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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