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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Ruby Server Timing vs collectd

Ruby Server Timing vs collectd

OverviewDecisionsComparisonAlternatives

Overview

collectd
collectd
Stacks98
Followers156
Votes5
GitHub Stars3.3K
Forks1.3K
Ruby Server Timing
Ruby Server Timing
Stacks0
Followers4
Votes0
GitHub Stars514
Forks6

collectd vs Ruby Server Timing: What are the differences?

What is collectd? System and applications metrics collector. collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too.

What is 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 ๐Ÿ“ˆ 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..

collectd and Ruby Server Timing belong to "Monitoring Tools" category of the tech stack.

collectd and Ruby Server Timing are both open source tools. collectd with 2.26K GitHub stars and 1.08K forks on GitHub appears to be more popular than Ruby Server Timing with 495 GitHub stars and 6 GitHub forks.

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Advice on collectd, Ruby Server Timing

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

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Comments

Detailed Comparison

collectd
collectd
Ruby Server Timing
Ruby Server Timing

collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too.

Bring Ruby on Rails server-side performance metrics ๐Ÿ“ˆ 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.

fast;simple;integrated;easy to operate
-
Statistics
GitHub Stars
3.3K
GitHub Stars
514
GitHub Forks
1.3K
GitHub Forks
6
Stacks
98
Stacks
0
Followers
156
Followers
4
Votes
5
Votes
0
Pros & Cons
Pros
  • 2
    Modular, plugins
  • 2
    Open Source
  • 1
    KISS
No community feedback yet
Integrations
No integrations available
Rails
Rails
Docker
Docker
Ruby
Ruby
Heroku
Heroku
Cloud Foundry
Cloud Foundry

What are some alternatives to collectd, Ruby Server Timing?

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.

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).

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