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

Ruby Server Timing vs Telegraf

OverviewComparisonAlternatives

Overview

Telegraf
Telegraf
Stacks289
Followers321
Votes16
GitHub Stars16.4K
Forks5.7K
Ruby Server Timing
Ruby Server Timing
Stacks0
Followers4
Votes0
GitHub Stars514
Forks6

Ruby Server Timing vs Telegraf: What are the differences?

Developers describe Ruby Server Timing as "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.. On the other hand, Telegraf is detailed as "The plugin-driven server agent for collecting & reporting metrics". It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.

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

Ruby Server Timing and Telegraf are both open source tools. It seems that Telegraf with 7.14K GitHub stars and 2.7K forks on GitHub has more adoption than Ruby Server Timing with 495 GitHub stars and 6 GitHub forks.

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Detailed Comparison

Telegraf
Telegraf
Ruby Server Timing
Ruby Server Timing

It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.

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.

Statistics
GitHub Stars
16.4K
GitHub Stars
514
GitHub Forks
5.7K
GitHub Forks
6
Stacks
289
Stacks
0
Followers
321
Followers
4
Votes
16
Votes
0
Pros & Cons
Pros
  • 5
    One agent can work as multiple exporter with min hndlng
  • 5
    Cohesioned stack for monitoring
  • 2
    Metrics
  • 2
    Open Source
  • 1
    Many hundreds of plugins
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 Telegraf, 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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