OpenMetrics VS VictoriaMetrics

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).

VictoriaMetrics CTO here.

The referred library is the official OpenTelemetry package for reading metrics in Go language [1] - more details are available at [2].

Note that we at VictoriaMetrics like the idea of unified observability standard like OpenTelemetry. The issue is in the current otel implementation. It is too bloated and very inefficient. This contradicts to our experience with observability cases, which need very optimized format for metrics' transfer in order to reduce costs on CPU and network traffic needed to transfer and process these metrics.

VictoriaMetrics continues investing in OpenTelemetry by providing integration docs [3] and improving the existing functionality for otel metrics' ingestion [4].

[1] https://github.com/open-telemetry/opentelemetry-proto-go

[2] https://github.com/VictoriaMetrics/VictoriaMetrics/pull/2570...

[3] https://docs.victoriametrics.com/guides/getting-started-with...

[4] https://github.com/VictoriaMetrics/VictoriaMetrics/issues/60...

Victoria Metrics

VictoriaMetrics is primarily a time-series database designed for efficiently storing and querying time-series data. It is often used as a back-end data store for time-series data generated by monitoring systems like Prometheus. VictoriaMetrics excels at handling large volumes of time-series data, offering efficient storage and query capabilities.

Not sure I follow since there are very competitive tools written in Go such as https://victoriametrics.com for an example in this space.

Did you try VictoriaMetrics [1] and vmagent [2]? It is a single self-contained binary without external dependencies. It requires relatively low amounts of CPU, RAM, disk space and disk IO, and it runs on ARM.

[1] https://github.com/VictoriaMetrics/VictoriaMetrics/

[2] https://docs.victoriametrics.com/vmagent.html

https://github.com/VictoriaMetrics/VictoriaMetrics#cardinali...

If I understanding correctly, it deal with high cardinality by dropping data, the operators need to monitor for this and adjust their data to lower the cardinality.

VictoriaMetrics

You shouldn't unless you want to use the new open source standard for telemetry. You won't benefit from simplicity or performance improvements. It would be quite the opposite. You can check what is the actual cost of open telemetry adoption here [0]

But if you ever decide to go this path - VictoriaMetrics supports OpenTelemetry protocol for metrics [1]

[0] https://github.com/VictoriaMetrics/VictoriaMetrics/pull/2570

[1] https://docs.victoriametrics.com/Single-server-VictoriaMetri...