Kamon vs Metricbeat

Overview

Metricbeat

Stacks48

Followers125

Votes3

Kamon

Stacks7

Followers12

Votes3

Metricbeat vs Kamon: What are the differences?

What is 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.

What is Kamon? A set of tools for instrumenting applications running on the JVM. It provides a set of tools to go from zero to a healthy and observable production deployment.

Metricbeat and Kamon can be categorized as "Monitoring" tools.

Some of the features offered by Metricbeat are:

System-Level Monitoring
system-level CPU usage statistics
Network IO statistics

On the other hand, Kamon provides the following key features:

Core API
Automation instrumentation
Reporters

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CLI (Node.js)

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Advice on Metricbeat, Kamon

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

Metricbeat	Kamon
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.	Kamon helps developers find and fix performance issues in Akka and Play Framework microservices. Kamon Telemetry is a battle tested free and open-source instrumentation library and Kamon APM is an easy-to-use APM with pre-built dashboards.
System-Level Monitoring; system-level CPU usage statistics; Network IO statistics	Pre built integrations for Akka/Play/JVM/JDBC; Distributed tracing; Services Map; Separate test and production environments; Host monitoring; Custom dashboards; Alerting
Statistics
Stacks 48	Stacks 7
Followers 125	Followers 12
Votes 3	Votes 3
Pros & Cons
Pros 2 Simple 1 Easy to setup	Pros 1 Affordable for small teams or startups 1 Easy set-up 1 Generous free plan (up to 5 services, no time limit)
Integrations
Redis Linux NGINX Windows	No integrations available

What are some alternatives to Metricbeat, Kamon?

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).

Related Comparisons

Metricbeat and Kamon can be categorized as "Monitoring" tools.

Some of the features offered by Metricbeat are:

System-Level Monitoring
system-level CPU usage statistics
Network IO statistics

On the other hand, Kamon provides the following key features:

Core API
Automation instrumentation
Reporters

Kamon vs Metricbeat