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B3-propagation Alternatives
Similar projects and alternatives to b3-propagation
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signoz
SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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self-hosted
Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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kafkacat
Discontinued Generic command line non-JVM Apache Kafka producer and consumer [Moved to: https://github.com/edenhill/kcat]
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odigos
Distributed tracing without code changes. 🚀 Instantly monitor any application using OpenTelemetry and eBPF
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SaaSHub
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better b3-propagation alternative or higher similarity.
b3-propagation reviews and mentions
Posts with mentions or reviews of b3-propagation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-28.
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OpenTelemetry in 2023
I've been playing with OTEL for a while, with a few backends like Jaeger and Zipkin, and am trying to figure out a way to perform end to end timing measurements across a graph of services triggered by any of several events.
Consider this scenario: There is a collection of services that talk to one another, and not all use HTTP. Say agent A0 makes a connection to agent A1, this is observed by service S0 which triggers service S1 to make calls to S2 and S3, which propagate elsewhere and return answers.
If we limit the scope of this problem to services explicitly making HTTP calls to other services, we can easily use the Propagators API [1] and use X-B3 headers [2] to propagate the trace context (trace ID, span ID, parent span ID) across this graph, from the origin through to the destination and back. This allows me to query the metrics collector (Jaeger or Zipkin) using this trace ID, look at the timestamps originating at the various services and do a T_end - T_start to determine the overall time taken by one call for a round trip across all the related services.
However, this breaks when a subset of these functions cannot propagate the B3 trace IDs for various reasons (e.g., a service is watching a specific state and acts when the state changes). I've been looking into OTEL and other related non-OTEL ways to capture metrics, but it appears there's not much research into this area though it does not seem like a unique or new problem.
Has anyone here looked at this scenario, and have you had any luck with OTEL or other mechanisms to get results?
[1] https://opentelemetry.io/docs/specs/otel/context/api-propaga...
[2] https://github.com/openzipkin/b3-propagation
[3] https://www.w3.org/TR/trace-context/
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OpenTelemetry and Istio: Everything you need to know
(Note that OpenTelemetry uses, by default, the W3C context propagation specification, while Istio uses the B3 context propagation specification – this can be modified).
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Spring Cloud Sleuth in action
The default format for context propagation is B3 so we use headers X-B3-TraceId and X-B3-SpanId
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A note from our sponsor - WorkOS
workos.com | 29 Apr 2024
Stats
Basic b3-propagation repo stats
3
516
2.7
2 months ago
openzipkin/b3-propagation is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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