Project

Reverse Dependencies for opentelemetry-sdk

The projects listed here declare opentelemetry-sdk as a runtime or development dependency

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Repository is archived
No release in over 3 years
Low commit activity in last 3 years
This exporter has been deprecated. To export your OTLP traces from OpenTelemetry SDK directly to Datadog Agent, please refer to OTLP Ingest in Datadog Agent: https://docs.datadoghq.com/tracing/setup_overview/open_standards/#otlp-ingest-in-datadog-agent. opentelemetry-exporters-datadog is Datadog’s trace exporter for the OpenTelemetry Ruby tracing library, which is used to trace requests across web servers, databases and microservices. The exporter formats and sends these traces to a Datadog Agent so that they can be ingested, stored, and analyzed with Datadog.
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This gem is used for consuming Kafka messages. It represents a wrapper over Karafka gem and is recommended for using as a transport with sbmt-outbox
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This gem is used for producing Kafka messages. It represents a wrapper over Waterdrop gem and is recommended for using as a transport with sbmt-outbox
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Aspecto SDK and OpenTelemetry distribution for ruby programming language
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A long-lived project that still receives updates
NOT YET RELEASED - An opinionated web framework build on web standards
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Epsagon provides tracing to Ruby applications for the collection of distributed tracing and performance metrics to simplify complex architectures, eliminate manual work, visualize and correlate data to identify and fix problems fast.
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A collection of Ruby interceptors (middlewares) for gRPC servers and clients.
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Helios OpenTelemetry SDK for Ruby
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Hephaestus is a Rails generator to create plugs for Yetto.
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The Highlight SDK for Ruby
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Hypertrace Ruby Agent
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The 'APM' (Application Performance Monitoring) Ruby gem provides developers with comprehensive insights into their software applications' performance and behavior. By monitoring end-user experiences, profiling code execution, tracing transaction flows, and tracking resource utilization, the gem assists in identifying bottlenecks, errors, and areas for optimization. Real-time alerts, error analysis, and trend tracking contribute to maintaining a smooth user experience, enhancing application scalability, and ensuring efficient resource utilization.
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The project is in a healthy, maintained state
Multiplayer OTLP library
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Automatic detect deplyment environment for common ruby framewraks, and add it to the resource
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