Ruby Server Timing vs StatsD

Overview

StatsD

Stacks373

Followers293

Votes31

Ruby Server Timing

Stacks0

Followers4

Votes0

GitHub Stars514

Forks6

Ruby Server Timing vs StatsD: What are the differences?

Ruby Server Timing: Brings Rails server-side performance metrics to Chrome's Developer Tools via the Server Timing API. Bring Ruby on Rails server-side performance metrics 📈 to Chrome's Developer Tools (and other browsers that support the Server Timing API) via the server_timing gem Metrics are collected from the scout_apm gem. A Scout account is not required.; 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).

Ruby Server Timing and StatsD can be categorized as "Monitoring" tools.

Ruby Server Timing 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 Ruby Server Timing with 495 GitHub stars and 6 GitHub forks.

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CLI (Node.js)

Manual

Detailed Comparison

StatsD	Ruby Server Timing
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).	Bring Ruby on Rails server-side performance metrics 📈 to Chrome's Developer Tools (and other browsers that support the Server Timing API) via the server_timing gem. Metrics are collected from the scout_apm gem. A Scout account is not required.
Network daemon; Runs on the Node.js platform; Sends aggregates to one or more pluggable backend services	-
Statistics
GitHub Stars -	GitHub Stars 514
GitHub Forks -	GitHub Forks 6
Stacks 373	Stacks 0
Followers 293	Followers 4
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 Docker Graphite	Rails Docker Ruby Heroku Cloud Foundry

What are some alternatives to StatsD, Ruby Server Timing?

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.

Jaeger

Jaeger, a Distributed Tracing System

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