odigos VS oteps

Welcome 👋 to this blog. Did you want to use odigos on your Ubuntu machine but don't know how to start? Then this blog will definitely help you and it also helps you to understand the basic aspect of the odigos project.

Disclaimer: I am one of the maintainers

Many comments complain about the complexity of using OpenTelemetry, I recommend checking out Odigos, an open-source project which makes working with OpenTelemetry much easier: https://github.com/keyval-dev/odigos

We combine OpenTelemetry and eBPF to instantly generate distributed traces without any code changes.

Check it out here: https://github.com/keyval-dev/odigos

Hi, sure here is the link to Odigos: https://github.com/keyval-dev/odigos We do not replace Grafana or any other monitoring vendor. We build them a better pipeline with higher quality signals (distributed tracing). They still do the visualization, it will just display better information.

Check out mor about Odigos, our open source project at https://github.com/keyval-dev/odigos

Oh nice, thank you (and also solumos) for the links! It looks like oteps/pull/171 (merged June 2023) expanded and superseded the opentelemetry-proto/pull/346 PR (closed Jul 2022) [0]. The former resulted in merging OpenTelemetry Enhancement Proposal 156 [1], with some interesting results especially for 'Phase 2' where they implemented columnar storage end-to-end (see the Validation section [2]):

* For univariate time series, OTel Arrow is 2 to 2.5 better in terms of bandwidth reduction ... and the end-to-end speed is 3.1 to 11.2 times faster

* For multivariate time series, OTel Arrow is 3 to 7 times better in terms of bandwidth reduction ... Phase 2 has [not yet] been .. estimated but similar results are expected.

* For logs, OTel Arrow is 1.6 to 2 times better in terms of bandwidth reduction ... and the end-to-end speed is 2.3 to 4.86 times faster

* For traces, OTel Arrow is 1.7 to 2.8 times better in terms of bandwidth reduction ... and the end-to-end speed is 3.37 to 6.16 times faster

[0]: https://github.com/open-telemetry/opentelemetry-proto/pull/3...

[1]: https://github.com/open-telemetry/oteps/blob/main/text/0156-...

[2]: https://github.com/open-telemetry/oteps/blob/main/text/0156-...

https://github.com/open-telemetry/oteps/issues/139

It takes a lot of time and effort to bake a cross-vendor cross-language standard.

This. The statelessness of the OTLP is by design. I did consider stateful designs with e.g. shared state dictionary compression but eventually chose not to, so that the intermediaries can remain stateless.

An extension to OTLP that uses shared state (and columnar encoding) to achieve more compact representation and is suitable for the last network leg in the data delivery path has been proposed and may become a reality in the future: https://github.com/open-telemetry/oteps/pull/171