collectd vs Metricbeat

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Metricbeat vs collectd: What are the differences?

# Introduction

Metricbeat and collectd are both monitoring agents used to collect system and application metrics from servers. Despite having similar functionalities, there are key differences between Metricbeat and collectd that distinguish them from each other.

1. **Data Collection Method**: Metricbeat uses a lightweight shipper to collect system metrics and provides native integrations with popular services like Elasticsearch, Logstash, and Kibana. On the other hand, collectd relies on a standalone daemon to collect and aggregate metrics, which can then be forwarded to different storage solutions.
2. **Supported Platforms**: Metricbeat is designed to be compatible with modern cloud architectures, containerized environments, and various operating systems, making it more versatile for today's complex infrastructure setups. In contrast, collectd has been traditionally more focused on supporting a wider range of legacy systems and platforms.
3. **Plugins and Integrations**: Metricbeat offers a wide range of pre-built modules and integrations that simplify the process of monitoring common services and applications. In comparison, collectd provides a rich library of plugins but may require more configuration and customization for specific monitoring tasks.
4. **Resource Consumption**: Metricbeat is known for its minimal resource footprint, making it suitable for environments where resource utilization is a concern. On the other hand, collectd may consume more system resources due to its more extensive feature set and capabilities.
5. **Community Support**: Metricbeat, being part of the Elastic Stack, benefits from a large and active community that continuously contributes to its development and support. While collectd also has a dedicated user base, the community support for specific plugins or configurations may vary based on individual contributions.
6. **Ease of Deployment**: Metricbeat provides a straightforward setup process and offers centralized management through the Elastic Stack, making it easier to deploy and manage at scale. In contrast, collectd may require more manual configuration and monitoring for deployment in larger environments.

In Summary, the key differences between Metricbeat and collectd lie in their data collection methods, supported platforms, available plugins and integrations, resource consumption, community support, and ease of deployment, each catering to different monitoring needs in various infrastructures.

Advice on collectd and Metricbeat
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
on
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
on
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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Pros of collectd
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What is 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.

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.

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What are some alternatives to collectd and Metricbeat?
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).
Nagios
Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
Ganglia
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.
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.
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.
See all alternatives