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

Metricbeat vs collectd

OverviewDecisionsComparisonAlternatives

Overview

collectd
collectd
Stacks98
Followers156
Votes5
GitHub Stars3.3K
Forks1.3K
Metricbeat
Metricbeat
Stacks48
Followers125
Votes3

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.

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Advice on collectd, Metricbeat

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

collectd
collectd
Metricbeat
Metricbeat

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.

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.

fast;simple;integrated;easy to operate
System-Level Monitoring; system-level CPU usage statistics; Network IO statistics
Statistics
GitHub Stars
3.3K
GitHub Stars
-
GitHub Forks
1.3K
GitHub Forks
-
Stacks
98
Stacks
48
Followers
156
Followers
125
Votes
5
Votes
3
Pros & Cons
Pros
  • 2
    Modular, plugins
  • 2
    Open Source
  • 1
    KISS
Pros
  • 2
    Simple
  • 1
    Easy to setup
Integrations
No integrations available
Redis
Redis
Linux
Linux
NGINX
NGINX
Windows
Windows

What are some alternatives to collectd, 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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