We have recently been talking to a few companies in HealthCare and Fintech, and it seems they have strong needs for data to remain on-premise. One of such verticals in the company is around monitoring, logs and traces. They may contain personal information and these companies want to keep it under their own control. Hence, they can't send data to SaaS vendors due to regulations around data sovereignty.

They cannot use DataDog, NewRelic and onPrem Dynatrace & AppDynamics are closed source. A recent good alternatives are Prometheus for Metrics, Jaeger/Zipkin for distributed tracing and Loki for logs. First of all setting up all these take months and running a scaled version of these OSS is pretty complex.

We are building SigNoz (https://github.com/SigNoz/signoz) to address these above problems. SigNoz is an open source alternative to DataDog. SigNoz has Kafka and Apache Druid, both of them are industry tested highly scalable components. Druid powers analytical capabilities on tracing data which is missed in both Jaeger and Zipkin.

Below are the motivations for building the project:

- Out-of-box features that other OSS miss. Get started in minutes and not months

- Seamless integration of Metrics and Traces in a single dashboard

- SaaS vendors charge an insane amount to provide Application Monitoring. They often surprise you with huge month end bills without any transparency of data sent to them

- Data privacy and compliance demands data to not leave the network boundary

- Highly scalable architecture

- No more magic happening in agents installed in your infra. You take control of sampling, uptime, configuration

- Build modules over SigNoz to extend business specific capabilities

- Full support for OpenTelemetry, which is a vendor neutral instrumentation framework

We would love to know your thoughts on SigNoz