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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Graphite vs Kamon

Graphite vs Kamon

OverviewDecisionsComparisonAlternatives

Overview

Graphite
Graphite
Stacks383
Followers419
Votes42
GitHub Stars6.0K
Forks1.3K
Kamon
Kamon
Stacks7
Followers12
Votes3

Graphite vs Kamon: What are the differences?

Graphite: A highly scalable real-time graphing system. Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand; 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.

Graphite and Kamon belong to "Monitoring Tools" category of the tech stack.

Some of the features offered by Graphite are:

  • carbon - a Twisted daemon that listens for time-series data
  • whisper - a simple database library for storing time-series data (similar in design to RRD)
  • graphite webapp - A Django webapp that renders graphs on-demand using Cairo

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

  • Core API
  • Automation instrumentation
  • Reporters

Graphite is an open source tool with 4.66K GitHub stars and 1.2K GitHub forks. Here's a link to Graphite's open source repository on GitHub.

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Advice on Graphite, Kamon

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

Detailed Comparison

Graphite
Graphite
Kamon
Kamon

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

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.

carbon - a Twisted daemon that listens for time-series data;whisper - a simple database library for storing time-series data (similar in design to RRD);graphite webapp - A Django webapp that renders graphs on-demand using Cairo
Pre built integrations for Akka/Play/JVM/JDBC; Distributed tracing; Services Map; Separate test and production environments; Host monitoring; Custom dashboards; Alerting
Statistics
GitHub Stars
6.0K
GitHub Stars
-
GitHub Forks
1.3K
GitHub Forks
-
Stacks
383
Stacks
7
Followers
419
Followers
12
Votes
42
Votes
3
Pros & Cons
Pros
  • 16
    Render any graph
  • 9
    Great functions to apply on timeseries
  • 8
    Well supported integrations
  • 6
    Includes event tracking
  • 3
    Rolling aggregation makes storage managable
Pros
  • 1
    Affordable for small teams or startups
  • 1
    Easy set-up
  • 1
    Generous free plan (up to 5 services, no time limit)
Integrations
Sensu
Sensu
Nagios
Nagios
Logstash
Logstash
Windows Server
Windows Server
Netdata
Netdata
Riemann
Riemann
Diamond
Diamond
Telegraf
Telegraf
collectd
collectd
Ganglia
Ganglia
No integrations available

What are some alternatives to Graphite, Kamon?

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.

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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