trace-context-w3c
signoz
trace-context-w3c | signoz | |
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11 | 310 | |
4 | 16,955 | |
- | 1.5% | |
0.0 | 9.9 | |
about 1 year ago | 6 days ago | |
C# | TypeScript | |
- | GNU General Public License v3.0 or later |
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trace-context-w3c
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Implementing OTel Trace Context Propagation Through Message Brokers with Go
The answer is Context Propagation. The HTTP example is a classic and W3C even covers it. The propagation is adding the important fields from the context into the HTTP headers and having the other application extract those values and inject them into its trace context. This concept applies to any other way of communication. Here, we will focus on message brokers and how you can achieve context propagation for those.
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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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End-to-end tracing with OpenTelemetry
-- https://www.w3.org/TR/trace-context/
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Event Driven Architecture — 5 Pitfalls to Avoid
For context propagation, why not just reuse the existing trace context that most frameworks and toolkits generate for http requests? I've had to apply some elbow grease to get it play nice but once it does you're able to use tools like Jeager, etc as part of your asynchronous flow as well.
- W3C Recommendation – 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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What is Context Propagation in Distributed Tracing?
World Wide Web Consortium (W3C) has recommendations on the format of trace contexts. The aim is to develop a standardized format of passing trace context over standard protocols like HTTP. It saves a lot of time in distributed tracing implementation and ensures interoperability between various tracing tools.
- My Logging Best Practices
- Validação de entrada de dados e respostas de erro no ASP.NET
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[c#] Using W3C Trace Context standard in distributed tracing
The main objective is to propagate a message with traceparent id throw two APIs and one worker using W3C trace context standard. The first-api calls the second-api by a http call while the second-api has an asynchronous communication with the worker by a message broker (rabbitmq was chosen for that). Furthermore, zipkin was the trace system chosen (or vendor as the standard call it), being responsible for getting the application traces and building the distributed tracing diagram:
signoz
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Show HN: OneUptime – open-source Datadog Alternative
You should also check out SigNoz [1], we are an open-core alternative to DataDog - based natively on OpenTelemetry. We also have a cloud product if you don't want to host yourself
[1] https://signoz.io
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Indexing one petabyte of logs per day with Quickwit
You might want to have a look at SigNoz [1] as well. We have also published some perf benchmark wrt Elastic & Loki [2] and have some cool features like logs pipeline for manipulating logs before ingestion
[1] https://github.com/signoz/signoz
- Open-Source Observability – SigNoz
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Tools used by the top 1% of Platform Engineers and their Commercial Open Source Alternatives
Check Signoz's repo on GitHub
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Show HN: Quickwit – OSS Alternative to Elasticsearch, Splunk, Datadog
SigNoz maintainer here.
We also have traces, metrics and logs in a single application which makes correlation across them much easier. From what I can understand from Quickwit website, they use Grafana and Jaeger for UI.
Here'e our github repo if you want to check it out. https://github.com/signoz/signoz
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Sentry new TOS to use data to train AI with no opt-out
Using user's private with no opt-out option is unethical.
If anyone is looking self-hosted for alternatives then they should try SigNoz: https://github.com/SigNoz/signoz
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Top 11 New Relic Alternatives & Competitors
SigNoz is a great New Relic alternative that is open-source and provides three signals in a single pane of glass. You can monitor logs, metrics, and traces and correlate signals for better insights into application performance.
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Share your DevOps setups
If anyone wants to check the project, here's our github repo - https://github.com/signoz/signoz
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Amazon EKS Monitoring with OpenTelemetry [Step By Step Guide]
You need a backend to which you can send the collected data for monitoring and visualization. SigNoz is an OpenTelemetry-native APM that is well-suited for visualizing OpenTelemetry data.
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Spring Boot Monitoring with Open-Source Tools
Once the data is collected, it needs to be sent to a backend. That’s where SigNoz comes into the picture. SigNoz is an open-source OpenTelemetry-native APM that provides logs, metrics and traces under a single pane of glass.
What are some alternatives?
b3-propagation - Repository that describes and sometimes implements B3 propagation
skywalking - APM, Application Performance Monitoring System
opentelemetry-dotnet - The OpenTelemetry .NET Client
prometheus - The Prometheus monitoring system and time series database.
Serilog.Exceptions - Log exception details and custom properties that are not output in Exception.ToString().
uptrace - Open source APM: OpenTelemetry traces, metrics, and logs
zipkin - Zipkin is a distributed tracing system
jaeger - CNCF Jaeger, a Distributed Tracing Platform
opentelemetry-specification - Specifications for OpenTelemetry
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
Sentry - Developer-first error tracking and performance monitoring