worker_killer
Rack::Tracker
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worker_killer | Rack::Tracker | |
---|---|---|
3 | - | |
8 | 643 | |
- | 0.3% | |
6.3 | 0.0 | |
26 days ago | about 1 month ago | |
Ruby | Ruby | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
worker_killer
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Rack gem for gracefully restaring based on memory/requests metrics for Phusion Passenger and Delayed Job
Soource code and Expanded article(Russian) about gem usage.
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WorkerKiller
Another gem for handling memory fragmentation and leaks. Working with Phusion Passenger and Delayed Job by Memory Limiter and Request Limiter.
Rack::Tracker
We haven't tracked posts mentioning Rack::Tracker yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
job_enqueue_logger - Log background jobs enqueued by your application (additionally with backtraces)
Staccato - Ruby library to perform server-side tracking into the official Google Analytics Measurement Protocol
Ahoy - Simple, powerful, first-party analytics for Rails
Analytical
Impressionist - Rails Plugin that tracks impressions and page views
The Chartable Ruby gem - A lightweight and database-level Ruby library to transform any Active Record query into analytics hash ready for use with any chart library.
Gabba - Simple way to send server-side notifications to Google Analytics
Legato - Google Analytics Reporting API Client for Ruby
active_analytics - First-party, privacy-focused traffic analytics for Ruby on Rails applications.
vue-gtag - Global Site Tag plugin for Vue (gtag.js)
RequestResponseStats - A Ruby gem which captures request response statistics such as cycle time, memory allocation, etc. for each request response cycle grouped in configurable granularity level. As this library makes use of TCP protocol, using DataDog or NewRelic RPM would be way faster because of UDP protocol.
api - Minimal, lightweight, fastest Ruby framework for HTTP APIs.