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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Netflix FlameScope vs StatsD

Netflix FlameScope vs StatsD

OverviewComparisonAlternatives

Overview

StatsD
StatsD
Stacks373
Followers293
Votes31
Netflix FlameScope
Netflix FlameScope
Stacks6
Followers16
Votes0
GitHub Stars3.1K
Forks176

Netflix FlameScope vs StatsD: What are the differences?

What is Netflix FlameScope? A visualization tool for exploring different time ranges as Flame Graphs. FlameScope begins by displaying the input data as an interactive subsecond-offset heat map. This shows patterns in the data. You can then select a time range to highlight on different patterns, and a flame graph will be generated just for that time range.

What is StatsD? Simple daemon for easy stats aggregation. StatsD is a front-end proxy for the Graphite/Carbon metrics server, originally written by Etsy's Erik Kastner. StatsD is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Netflix FlameScope and StatsD can be primarily classified as "Monitoring" tools.

Netflix FlameScope and StatsD are both open source tools. It seems that StatsD with 14.2K GitHub stars and 1.83K forks on GitHub has more adoption than Netflix FlameScope with 1.97K GitHub stars and 116 GitHub forks.

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Detailed Comparison

StatsD
StatsD
Netflix FlameScope
Netflix FlameScope

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).

FlameScope begins by displaying the input data as an interactive subsecond-offset heat map. This shows patterns in the data. You can then select a time range to highlight on different patterns, and a flame graph will be generated just for that time range.

Network daemon; Runs on the Node.js platform; Sends aggregates to one or more pluggable backend services
-
Statistics
GitHub Stars
-
GitHub Stars
3.1K
GitHub Forks
-
GitHub Forks
176
Stacks
373
Stacks
6
Followers
293
Followers
16
Votes
31
Votes
0
Pros & Cons
Pros
  • 9
    Open source
  • 7
    Single responsibility
  • 5
    Efficient wire format
  • 3
    Loads of integrations
  • 3
    Handles aggregation
Cons
  • 1
    No authentication; cannot be used over Internet
No community feedback yet
Integrations
Node.js
Node.js
Docker
Docker
Graphite
Graphite
No integrations available

What are some alternatives to StatsD, Netflix FlameScope?

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.

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.

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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