This gem is a Logstash plugin required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/logstash-plugin install gemname. This gem is not a stand-alone program

A client library for the Kafka distributed commit log.

Report GC usage data to StatsD.

An easy to configure, easy to extend monitoring framework written in Ruby.

A simple framework for building APIs with Grape

`qless` is meant to be a performant alternative to other queueing systems, with statistics collection, a browser interface, and strong guarantees about job losses. It's written as a collection of Lua scipts that are loaded into the Redis instance to be used, and then executed by the client library. As such, it's intended to be extremely easy to port to other languages, without sacrificing performance and not requiring a lot of logic replication between clients. Keep the Lua scripts updated, and your language-specific extension will also remain up to date.

Timeseries data monitoring framework running as a rails engine

vmpooler provides configurable pools of instantly-available (running) virtual machines

Collect high level application performance metrics and forward them for analysis

Each Rack request eats up time, objects, and GC. Report usage to logs and StatsD.

a http and tcp testing service

fluentd output plugin to send metrics to Esty StatsD monitor

Listen to your Rails ActiveSupport::Notifications and deliver to a Statsd compatible backend

Simple business process/transactions tracking and metrics service

Rack application monitoring with StatsD: reports key performance metrics for apps served via Rack (throughput, response times, error rates, etc).

Sensu transport over Amazon SNS & SQS

Flexible StatsD instrumentation for Rails, Rack, Grape and more

Statsd for Canvas

Fluentd plugin to ingest AWS Cloudwatch logs

Base configuration for GOV.UK applications