signoz VS zipkin

Give https://github.com/SigNoz/signoz a look

Sure, we will include dynatrace and elastic in our next update. The line items are mostly based on how the product does the billing u/RabidWolfAlpha. Datadog has an SKU-based billing structure. If you visit their pricing page, they list down a lot of products, and they bill each of them separately. For example, APM and infrastructure monitoring are two separate paid products. SigNoz is based on usage-based pricing; only pay for how much data you ingest. Billing is based on how much logs, metrics and traces you ingest. There is no separate billing for APM and infrastructure monitoring. SigNoz has most features that Datadog provides, except things like network monitoring, Cloud SIEM, etc. Are you looking for any specific feature? p.s SigNoz is also open source: our github repo.

We are building OpenSource Observability at SigNoz. Have a look at https://github.com/SigNoz/signoz

SigNoz? https://github.com/SigNoz/signoz

Folks on this thread might want to check out SigNoz (https://github.com/SigNoz/signoz). It's an open source alternative to Datadog.

I am one of the maintainers at SigNoz. We have come across many more horror stories around Datadog billing while interacting with our users.

We recently did a deep dive on pricing, and found some interesting insights on how it is priced compared to other products.

Datadog's billing has two key issues:

I am not sure when you tried OpenTelemetry, but it is decently mature now, esp. for tracing. I am a maintainer at SigNoz (https://github.com/signoz/signoz) and we have good support for tracing using Otel for most of the common frameworks.

I agree it was a bit rapidly evolving in early days, but now its much more mature.

You can check out our docs for distributed tracing here - https://signoz.io/docs/instrumentation/

We are building SigNoz (https://github.com/SigNoz/signoz) - an open source alternative to DataDog. We are natively based on opentelemetry and see lots of our users very interested in that.

As mentioned in some other places in the thread, DataDog pricing is very unpredictable and high - and I think more open standards based solutions are the way forward which provides users more predictability and flexibility

You should check out SigNoz (https://github.com/SigNoz/signoz) - It's an open source alternative to DataDog with metrics, traces and logs in a single application. You can just self host it yourself or try the hosted version.

PS: I am one of the maintainers at SigNoz

There's also Signoz (https://signoz.io) a YC-backed company but open source with (recently) paid hosted.

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.

Zipkin https://zipkin.io/

Another challenge with distributed systems is being able to trace a client request through the entire call chain of services. However, a service mesh can integrate with distributed tracing systems such as Jaeger or Zipkin to make this easier. Note this often requires some modification to application code to add a special trace identifiers to each request.

Zipkin

Spring Spring web framework Spring WebFlux Reactive REST Services Spring Data R2DBC a specification to integrate SQL databases using reactive drivers Redisson Redis Java Client Zipkin open source, end-to-end distributed tracing Spring Cloud Sleuth auto-configuration for distributed tracing Prometheus monitoring and alerting Grafana for to compose observability dashboards with everything from Prometheus Kubernetes automating deployment, scaling, and management of containerized applications Docker and docker-compose Helm The package manager for Kubernetes Flywaydb for migrations

There are several options when it comes to distributed tracing backends like Zipkin, Grafana Tempo, and Jaeger.

Application performance Monitoring (APM) improves the visibility into a distributed microservices architecture. The APM data can help enhance software security by allowing a full view of an application. Distributed tracing tools like Zipkin and Jaeger kind of stitch all logs together and bring full visibility of requests from start to end. It speeds up response time for new bugs or attacks.