signoz VS zipkin

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

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

Check Signoz's repo on GitHub

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

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

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.

If anyone wants to check the project, here's our github repo - https://github.com/signoz/signoz

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.

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.

When choosing distributed tracing tools, considerations include your technology stack, business requirements, and monitoring complexity. Zipkin, SkyWalking, and OpenTelemetry are popular distributed tracing solutions, each with its unique features.

From the perspective of the realization of GraphQL infrastructure, the interesting direction is "Finding". How to find the problem? How to find the bottleneck of the system? Distributed Tracing System (DTS) will help answer this question. Distributed tracing is a method of observing requests as they propagate through distributed environments. In our scenario, we have dozens of subgraphs, gateway, and transport layer through which the request goes. We have several tools that can be used to detect the whole lifecycle of the request through the system, e.g. Jaeger, Zipkin or solutions that provided DTS as a part of the solution NewRelic.

Zipkin is a distributed tracing system used for tracking and analyzing how requests move through complex systems, especially in setups with many interconnected services, known as microservices.

Distributed Tracing: Middleware for distributed tracing like Jaeger and Zipkin helps monitor and trace requests as they flow through multiple microservices, aiding in debugging, performance optimization, and understanding the system's behavior.

For microservice tracing, you might want to look at Zipkin [0], or OpenTelemetry [1]

[0] https://zipkin.io/

I’ve not used a self-hosted solution before, but here’s one I found. https://zipkin.io/

> IMO the reason these vendors can and do charge so much is not because telemetry software is hard.

I always saw it as "they are charging for their polished UI/experience"

The UI of https://zipkin.io/ versus DataDog is kind of... not really in the same ballpark?

There are the zipkin https://zipkin.io/ and jaeger https://www.jaegertracing.io/ packages/components you can use both have quickstarts if you consider that to be a beginner's guide.

Zipkin, which was developed by Twitter, is an open source tool for distributed tracing that can also be used to troubleshoot latency issues in your application. While Zipkin is Java-based, py_zipkin is an implementation for Python.