Vulcan vs Metricbeat | What are the differences? | StackShare

Metricbeat vs Vulcan

Overview

Vulcan

Stacks38

Followers25

Votes0

GitHub Stars528

Forks30

Metricbeat

Stacks48

Followers125

Votes3

Metricbeat vs Vulcan: What are the differences?

Metricbeat: 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; Vulcan: DigitalOcean's API-compatible alternative to Prometheus. Vulcan is an API-compatible alternative to Prometheus. It aims to provide a better story for long-term storage, data durability, high cardinality metrics, high availability, and scalability. Vulcan is much more complex to operate, but should integrate with ease to an existing Prometheus environment.

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

Vulcan is an open source tool with 540 GitHub stars and 33 GitHub forks. Here's a link to Vulcan's open source repository on GitHub.

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Advice on Vulcan, Metricbeat

Sunil

Team Lead at XYZ

Jun 15, 2020

Needs adviceon

Prometheus

Grafana

Linux

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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Comments

Detailed Comparison

Vulcan	Metricbeat
Vulcan is an API-compatible alternative to Prometheus. It aims to provide a better story for long-term storage, data durability, high cardinality metrics, high availability, and scalability. Vulcan is much more complex to operate, but should integrate with ease to an existing Prometheus environment.	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.
-	System-Level Monitoring; system-level CPU usage statistics; Network IO statistics
Statistics
GitHub Stars 528	GitHub Stars -
GitHub Forks 30	GitHub Forks -
Stacks 38	Stacks 48
Followers 25	Followers 125
Votes 0	Votes 3
Pros & Cons
No community feedback yet	Pros 2 Simple 1 Easy to setup
Integrations
No integrations available	Redis Linux NGINX Windows

What are some alternatives to Vulcan, Metricbeat?

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 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 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 is a host/service/network monitoring program written in C and released under the GNU General Public License.

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 is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

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 does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

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

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).