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

Dropwizard Metrics vs Graphite

OverviewDecisionsComparisonAlternatives

Overview

Graphite
Graphite
Stacks383
Followers419
Votes42
GitHub Stars6.0K
Forks1.3K
Dropwizard Metrics
Dropwizard Metrics
Stacks29
Followers18
Votes0
GitHub Stars7.9K
Forks1.8K

Dropwizard Metrics vs Graphite: What are the differences?

# Introduction
This markdown provides a comparison between Dropwizard Metrics and Graphite.

1. **Programming Language**: Dropwizard Metrics is written in Java and designed to be embedded in Java applications, while Graphite is a monitoring tool written in Python and utilizes a different set of technologies.
2. **Scope**: Dropwizard Metrics focuses on providing metrics and monitoring within a single application or microservice, whereas Graphite is more suitable for monitoring infrastructure and system-wide metrics across different components and services.
3. **Data Storage**: Dropwizard Metrics stores its data in-memory with the option to export to external systems like Graphite, while Graphite is designed to store and query metric data efficiently using its specialized storage backend.
4. **Visualization**: Graphite offers advanced graphing and visualization capabilities out of the box, enabling users to create a variety of customizable dashboards and graphs, while Dropwizard Metrics may require integrating with additional tools or libraries for visualization.
5. **Aggregation**: Dropwizard Metrics provides built-in support for aggregating and calculating complex metrics within the application, making it easier to derive meaningful insights from the data collected, while Graphite relies on external query languages and functions for similar capabilities.
6. **Community and Ecosystem**: Dropwizard Metrics has a strong community and ecosystem of plugins and integrations available for various technologies, providing support for different use cases and environments, whereas Graphite also has a active community but may have specialized plugins and integrations relevant to system monitoring and data visualization.

In Summary, Dropwizard Metrics and Graphite differ in terms of programming language, scope, data storage, visualization, aggregation capabilities, and community support.

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Advice on Graphite, Dropwizard Metrics

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
Dropwizard Metrics
Dropwizard Metrics

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

It is a Java library which gives you insight into what your code does in production. It provides a powerful toolkit of ways to measure the behavior of critical components in your production environment. It provides you with full-stack visibility.

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
Full-stack visibility; application-level metrics
Statistics
GitHub Stars
6.0K
GitHub Stars
7.9K
GitHub Forks
1.3K
GitHub Forks
1.8K
Stacks
383
Stacks
29
Followers
419
Followers
18
Votes
42
Votes
0
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
No community feedback yet
Integrations
Sensu
Sensu
Nagios
Nagios
Logstash
Logstash
Windows Server
Windows Server
Netdata
Netdata
Riemann
Riemann
Diamond
Diamond
Telegraf
Telegraf
collectd
collectd
Ganglia
Ganglia
Logback
Logback
Log4j
Log4j
Jetty
Jetty

What are some alternatives to Graphite, Dropwizard Metrics?

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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