Project
Reverse Dependencies for dogstatsd-ruby
The projects listed here declare dogstatsd-ruby as a runtime or development dependency
0.0
Wrappers to make instrumentation of methods easy and pleasant to read
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A Lita handler that tracks Lita usage metrics.
2019
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This gem is a logstash plugin required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/plugin install gemname. This gem is not a stand-alone program
2019
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0.0
ls-trace is LightStep's fork of Datadog’s tracing client for Ruby. It
is used to trace requests as they flow across web servers, databases and
microservices so that developers have great visiblity into bottlenecks and
troublesome requests.
2019
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Application metrics and instrumentation.
2019
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A DogStatsD compatible reporter for the metriks metric reporting gem
2019
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Library for recording application metrics and delegating metric transport to some backend (like DataDog, StatsD, etc.)
2019
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moro is a simple daemon to monitor process memory usage
2019
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A cloud based distributed cron, application framework and operations console. Naf works as a distributed script running system that provides scheduling, logging, alarming, machine redundancy, and the ability to set constraint during script execution
2019
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Makes it straightforward for a project to send data to statsd.
2019
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Calculate the amount of time a request has been waiting in the queue
2019
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semantic_logger usage for nexus
2019
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Adapter for the Nunes instrumentation library and the Datadog service. This adapter is required because the dogstatsd-ruby gem3 does not implement the same API as the statsd-ruby gem, which works out-of-the-box with Nunes.
2019
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Measure rails events easily
2019
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Ruby http + backoff retry + circuit breaker.
2019
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Produces log in the logstash format with ability to log events into DataDog
2019
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Centralizd sapience configuration for Reevoo Ltd. See README.md for more information
2019
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Metrics and Events wrapper for DataDog
2019
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Rails middleware report metrics to Datadog
2019
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Reports app performance KPIs (response time, error rate, throughput, etc) via the DogStatsD client
2019
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