OpenMetrics VS autometrics-rs

The latter is both the "official" client (under the prometheus GitHub org) and the author's own evolution path from the former. More importantly, it enforces that all metrics comply with the OpenMetrics specification.

The compatibility problem is "solved" when you have an objective compliance test. Like this one, for an OpenMetrics endpoint, that really makes it fast and easy to verify my code.

The new defacto standard metrics protocol is based on Prometheus metrics format. It's now published as OpenMetrics.

This is something that is actually on the road map, and something I have been assigned to. So you can expect to see this in the future, I will likely be implementing OpenMetrics endpoints that will be compliant with Prometheus & possibly promtail for Loki. I hope our status page located at `/status` will do for now.

The Prometheus format is now standardized as OpenMetrics, with a small test suite that I've used successfully. A quick websearch doesn't turn up any evidence that Umbrella or Office365 support it. I'm not aware of any explicit monitoring points for either service.

Yup. I worked on the RFC for this.

For example, OpenMetrics/Prometheus allows for much more sane monitoring format than SNMP. All "MIB" information is inline, it's served over HTTP, and it's supported by a lot of different monitoring systems.

Prometheus has established itself as a standard open-source tool for event monitoring and alerting and metrics collection. With OpenMetrics now a CNCF sandbox project, and OpenTracing and OpenCensus merging to become OpenTelemetry, opportunities have been created for new companies to provide monitoring and diagnostics solutions. While Datadog remains the 800-pound gorilla, a large number of startups and smaller players are offering a variety of monitoring solutions, and even finding a niche in deeper diagnostics, including more comprehensive solutions that include infrastructure level, Kubernetes cluster level, and microservice applications level monitoring and diagnostics all in one place, to help pinpoint the production issues quickly. I also saw a few vendors offering predictive diagnostic solutions. It seems the monitoring solution market will continue to be fragmented, with a couple of larger players and a number of smaller players competing on innovation.

Prometheus wants data in a specific format (value_name{label1="value1"} numbericValue) and an "exporter" is a middleware that reads data from something and exports it in Prometheus-compatible format (the format is being "opened" as OpenMetrics).

I’ve been working on an open source project built on OpenTelemetry and Prometheus client libraries (https://autometrics.dev). The DX of the OTel libraries is pretty painful in all the languages we’ve used. Granted, we’re using them for metrics while traces are more common, but still.

I think the fundamental issue for the DX is that it’s trying to do everything everyone might want out of all of the observability signals. That’s a useful and laudable goal but it means that everything is configurable and relatively difficult to use.

If you go with Prometheus, we’re building Autometrics to make producing and querying metrics easier for developers. It makes it trivial to instrument functions to track the request rate, error rate, and latency and then writes PromQL for you. The Autometrics libraries are thin layers on top of existing Prometheus and OpenTelemetry libraries.

Autometrics is an open source observability framework that makes it trivial to add useful metrics to your code and writes Prometheus queries for you to help you understand the data. This feature shows the power that comes from pairing code instrumentation with automatically writing queries (and the queries it writes are a whole lot more complicated than what you'd want to write by hand!).

How do people tend to get metrics off of embedded devices?

I’m working on https://github.com/autometrics-dev/autometrics-rs and people asked whether it could be used in embedded contexts but I wasn’t sure how you’d hook up the device to something like Prometheus.

I just opened these two issues for [supporting `prometheus-client`](https://github.com/fiberplane/autometrics-rs/issues/25) and another for [supporting exemplars](https://github.com/fiberplane/autometrics-rs/issues/26).