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

Metricbeat vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K
Metricbeat
Metricbeat
Stacks48
Followers125
Votes3

Metricbeat vs Prometheus: What are the differences?

Key Differences between Metricbeat and Prometheus

1. Data Collection: Metricbeat is an open-source lightweight shipper that collects metrics from different sources and forwards them to various analytical platforms, while Prometheus is a monitoring and alerting system that pulls metrics from monitored targets at regular intervals and stores them locally.

2. Target Monitoring: Metricbeat focuses on monitoring the infrastructure and services of a system, collecting metrics related to CPU usage, memory, disk I/O, network traffic, etc. Prometheus, on the other hand, is designed for application-level monitoring, collecting metrics specific to the application being monitored, such as HTTP requests, latency, error rates, etc.

3. Scalability: Metricbeat is designed to be highly scalable and efficient, allowing it to collect and send metrics from thousands of instances with minimal resource consumption. Prometheus, although capable of monitoring large-scale systems, requires careful configuration and optimization to handle high cardinality data efficiently.

4. Data Visualization and Analysis: Metricbeat does not provide built-in data visualization or analysis capabilities. It is designed to provide raw metrics data that can be analyzed using other tools like Kibana, Grafana, etc. Prometheus, on the other hand, includes a built-in graphical dashboard and query language, allowing users to visualize and analyze the collected metrics without additional tools.

5. Alerting and Notifications: Metricbeat does not include native alerting capabilities, it relies on other tools like Elastic Stack for alerting and notification functionalities. Prometheus, in contrast, has built-in alerting mechanisms that allow users to set up rules and triggers based on specific metric values, sending notifications or triggering actions when thresholds are crossed.

6. Ecosystem Integration: Metricbeat is part of the Beats platform, which integrates seamlessly with other components of the Elastic Stack, such as Elasticsearch, Logstash, and Kibana. Prometheus, on the other hand, has its own ecosystem with various integrations available, including exporters, integrations with Grafana, and other monitoring tools, creating a comprehensive monitoring solution.

In summary, Metricbeat primarily focuses on infrastructure monitoring and provides efficient data collection and forwarding capabilities, while Prometheus specializes in application-level monitoring, featuring built-in data visualization, analysis, alerting, and a dedicated ecosystem for integrations.

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Advice on Prometheus, Metricbeat

Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments
Mat
Mat

Head of Cloud at Mats Cloud

Oct 30, 2019

Needs advice

We're looking for a Monitoring and Logging tool. It has to support AWS (mostly 100% serverless, Lambdas, SNS, SQS, API GW, CloudFront, Autora, etc.), as well as Azure and GCP (for now mostly used as pure IaaS, with a lot of cognitive services, and mostly managed DB). Hopefully, something not as expensive as Datadog or New relic, as our SRE team could support the tool inhouse. At the moment, we primarily use CloudWatch for AWS and Pandora for most on-prem.

794k views794k
Comments

Detailed Comparison

Prometheus
Prometheus
Metricbeat
Metricbeat

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.

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.

Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
System-Level Monitoring; system-level CPU usage statistics; Network IO statistics
Statistics
GitHub Stars
61.1K
GitHub Stars
-
GitHub Forks
9.9K
GitHub Forks
-
Stacks
4.8K
Stacks
48
Followers
3.8K
Followers
125
Votes
239
Votes
3
Pros & Cons
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Needs monitoring to access metrics endpoints
  • 6
    Bad UI
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
Pros
  • 2
    Simple
  • 1
    Easy to setup
Integrations
Grafana
Grafana
Redis
Redis
Linux
Linux
NGINX
NGINX
Windows
Windows

What are some alternatives to Prometheus, 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.

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).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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