docs VS community

Prometheus text exposition format is de-facto standard used in monitoring. It would be great building an official observability standard on top it. This format is much easier to debug and understand than OpenTelemetry for metrics. It is also more efficient, e.g. it requires less network bandwidth and less CPU for transfer than Otel for metrics.

[1] https://github.com/prometheus/docs/blob/main/content/docs/in...

I've set up prometheus to monitor kubernetes metrics by following the prometheus documentation.

It was added back to Prometheus.

https://github.com/prometheus/docs/blob/main/content/docs/in...

Exporters are third-party tools that send metrics to the Prometheus server. When Prometheus cannot access metrics, it uses exporters. These exporters export metrics from systems and send the metrics to the Prometheus server. There are official and non-official exporters in Prometheus' GitHub organization.

Now I'm looking for another energy monitor and I'm really struggling to find one! https://github.com/prometheus/docs/blob/main/content/docs/instrumenting/exporters.md

Metrics are exposed in a simple text-based format.

otel is working on their events spec https://github.com/open-telemetry/community/issues/1688

1. Agreed. It's the sink and the house attached to it, and the docs are thin and confusing as a result.

2. I had a similar experience to you. I wanted to implement a simple heartbeat in our app to get an idea of usage numbers. This is surprisingly not possible, which greatly confuses me given the name of the project. The low engagement on my question put me off and I abandoned my OpenTelemetry planning completely. [1][2]

[1] https://github.com/open-telemetry/community/discussions/1598

One of the OpenTelemetry Project's many Special Interest Groups (SIG) is the OpenTelemetry Community Demo SIG which gives support to a set of instrumented backend microservices and a web frontend app that are primarily used to showcase how to instrument a distributed system using OpenTelemetry. The application's main focus is to demonstrate the implementation process to instrument an application no matter what programming language, platform, or operating system your team is using, as well as providing different approaching techniques (automatic and manual instrumentation, metrics, baggage). All of this while following the standards and conventions defined by the official OpenTelemetry Documentation. More about the specific requirements can be found here. At Tracetest, we have always focused on becoming part of and embracing the OpenTelemetry community. One of our goals this summer was to get more involved with a core OpenTelemetry project where we could provide a meaningful contribution. The OTel demo became the best match for achieving that goal as it would not only help the community, but we at Tracetest needed a good example to test and showcase what can be done with our tool. During the version 0.7 project cycle, we created two specific tickets to get us closer to the community and start looking for things to pick up: