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.
Metricbeat is a tool in the Monitoring Tools category of a tech stack.
Who uses Metricbeat?
8 companies reportedly use Metricbeat in their tech stacks, including Barogo, Passbase, and Blognone.
37 developers on StackShare have stated that they use Metricbeat.
NGINX, Redis, Linux, Windows, and Coralogix are some of the popular tools that integrate with Metricbeat. Here's a list of all 6 tools that integrate with Metricbeat.
Pros of Metricbeat
Easy to setup
Decisions about Metricbeat
Here are some stack decisions, common use cases and reviews by companies and developers who chose Metricbeat in their tech stack.
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?
- System-Level Monitoring
- system-level CPU usage statistics
- Network IO statistics
Metricbeat Alternatives & Comparisons
What are some alternatives to Metricbeat?
See all alternatives
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.
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.
It helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files.
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 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.