I recently read this thread in the CNCF slack from someone wanting to send metrics and traces directly to Postgres. Reasonable enough right? After all once your data is in postgres you can query it to your heart’s content. And isn’t the general culture of OpenTelemetry that you should be able to do all of Observability without resorting to SaaS tools? The thread, however, is pretty universally opposed to this approach; and I have to say that I agree.

Kubernetes and OpenTelemetry are both CNCF projects, and both are closely associated with modern microservice architecture. Despite their connection, there isn’t a single cohesive solution to monitoring your Kubernetes cluster with OpenTelemetry. Large teams that use complex clusters in production have generally ended up building their own tools for monitoring both their infrastructure and application code.

Welcome to the 26th edition of our monthly product newsletter - SigNal 26! Our team shipped important updates to improve user experience. We were also pleasantly surprised by the number of community-led tutorials featuring SigNoz. Let’s dive in to see what humans at SigNoz were up to in the month of June 2023.

While reading a GitHub issue on the OpenTelemetry Collector about trying to send two versions of a metric, one with higher and one with lower cardinality, it occurred to me that we’ve never written on this blog about what is high-cardinality data exactly and how it matters to your OpenTelemetry observability. High-cardinality data refers to a dataset or data attribute that contains a large number of distinct values relative to the total number of data points.

If you're looking for an open-source alternative to Dynatrace, then you're at the right place. SigNoz is a perfect open-source alternative to Dynatrace. SigNoz provides a unified UI for metrics, traces and logs with advanced tagging and filtering capabilities. In today's digital economy, more and more companies are shifting to cloud-native and microservice architecture to support global scale and distributed teams.