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Metricbeat vs Nagios: What are the differences?

Developers describe Metricbeat as "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. On the other hand, Nagios is detailed as "Complete monitoring and alerting for servers, switches, applications, and services". Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Metricbeat and Nagios belong to "Monitoring Tools" category of the tech stack.

Some of the features offered by Metricbeat are:

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

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

  • Monitor your entire IT infrastructure
  • Spot problems before they occur
  • Know immediately when problems arise

Nagios is an open source tool with 60 GitHub stars and 36 GitHub forks. Here's a link to Nagios's open source repository on GitHub.

Advice on Metricbeat and Nagios
Sunil Chaudhari
Needs advice
on
MetricbeatMetricbeat
and
PrometheusPrometheus

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.

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Replies (2)
Matthew Rothstein
Recommends
PrometheusPrometheus

If you're already using Prometheus for your system metrics, then it seems like standing up Elasticsearch just for Linux host monitoring is excessive. The node_exporter is probably sufficient if you'e looking for standard system metrics.

Another thing to consider is that Metricbeat / ELK use a push model for metrics delivery, whereas Prometheus pulls metrics from each node it is monitoring. Depending on how you manage your network security, opting for one solution over two may make things simpler.

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Recommends
InstanaInstana

Hi Sunil! Unfortunately, I don´t have much experience with Metricbeat so I can´t advise on the diffs with Prometheus...for Linux server, I encourage you to use Prometheus node exporter and for PCF, I would recommend using the instana tile (https://www.instana.com/supported-technologies/pivotal-cloud-foundry/). Let me know if you have further questions! Regards Jose

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Decisions about Metricbeat and Nagios
Matthias Fleschütz
Teamlead IT at NanoTemper Technologies · | 2 upvotes · 91.1K 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 Metricbeat
Pros of Nagios
  • 1
    Simple
  • 1
    Easy to setup
  • 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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What is Metricbeat?

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.

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 Metricbeat and Nagios?
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.
Telegraf
It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.
Filebeat
It helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files.
collectd
collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too.
Fluentd
Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.
See all alternatives