opentelemetry-js VS nestjs-commander

JavaScript

> OpenTelemetry is a marketing-driven project, designed by committee, implemented naively and inefficiently, and guided by the primary goal of allowing Fortune X00 CTOs to tick off some boxes on their strategy roadmap documents.

I'm the founder of highlight.io. On the consumer side as a company, we've seen a lot of value of from OTEL; we've used it to build out language support for quite a few customers at this point, and the community is very receptive.

Here's an example of us putting up a change: https://github.com/open-telemetry/opentelemetry-js/pull/4049

Do you mind sharing why you think no-one should be using it? Some reasoning would be nice.

That's traces? I was wondering if I could use https://github.com/open-telemetry/opentelemetry-js/tree/main...

Nothing like Faro for now. However, https://github.com/open-telemetry/opentelemetry-js can be used to achieve the same result and OpenObserve has great support for Opentelemetry.

Can it be integrated with Grafana Faro or OpenTelemetry?

4. Register automatic instrumentations. For example, you can automatically trace all XHR requests, fetch requests, page loads, and user interactions. With distributed tracing, you should always prefer automatic instrumentation whenever possible to reduce maintenance and leverage existing conventions. The document load instrumentation allows you to treat the server as the parent span to a given page load, from which the client will then be the root span to everything in the server. This is an extremely powerful concept that allows traces to viewed from the perspective of the user, encapsulating all requests and user interactions in a single trace with no manual instrumentation!

We also trialed Sentry's APM tool (also marketed as a distributed tracing tool). While it had pretty charts, dashboards, niceties like core web vitals, and integrated well with Sentry's error product, its utility as a distributed tracing tool is significantly less powerful than tools like Honeycomb. You will end up using a large amount of your user's bandwidth sending telemetry data that can't fully be leveraged in the Sentry UI. When I last used (in April 2021), the spans of a given trace could only be viewed in a specific part the UI and they couldn't be searched for in queries or used in charts. I'm unsure if this has been updated. But this is not the worse part. Because Sentry uses its own data model for traces, it is not compatible with open source standards such as OpenTelemetry or OpenTracing! The sales team will not tell you this during the trial. This means our entire backend, which was already instrumented with OpenTracing, would now also need to instrument Sentry's tracing (...if they supported the language) in order to connect frontend traces to backend traces. Each team I met with their sales team, I said the same thing: support OpenTelemetry, otherwise you are asking for us to further isolate our backend and frontend teams.

It looks like they have heard this opinion, as they have recently published a blog post about the evolution of the distributed tracing API, citing incompatibility with OpenTelemetry due to their data model. It will require a very large change for them to support this. Meanwhile, OpenTelemetry can be used with any tracing vendor, a large number of languages, the other major instrumentation standards (OpenTracing, OpenCensus), and any trace propagation format.

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

Consumer lag will quickly show any functional or technical issue with your event stream. By using the code examples from this blogpost, you can avoid having to dive into the SDKs yourself. Of course, you can adopt the metric collection to send the metric to the logs or to another metrics system like prometheus, datadog, or open telemetry.

I would work on getting Open Telemetry pointed at an “all-in-one” Jaegar instance and move on from there: https://www.jaegertracing.io/docs/1.25/getting-started/ https://github.com/open-telemetry/opentelemetry-js Various cloud providers may have a way to collect/view traces as well, but, Jaegar and the Open Telemetry Collector are the open source way to do that. The projects are in the process of converging in some ways — everything is in flux.

OpenTelemetry is a collection of open source tools, APIs, and SDKs for instrumenting, generating, and exporting telemetry data from running software. It provides language-specific implementations for most popular programming languages, including both browser JavaScript and Node.js.

To echo the other's here, Nx has been an amazing dev experience for me! I use it for ogma, for nest-commander, testing-nestjs, and for nest-samples and @nest-lab/, all using pnpm as a package manager.

This absolutely isn't true. I'm both on the core team and a maintainer of several open source modules for Nest (nest-commander for CLI creation, ogma my own logger that has a really powerful interceptor, nestjs-spelunker which can print out an object representation of your Nest application and help with module debugging for dependency resolution, and a few more). The command module is even featured in the docs.

I work with the NestJS framework a lot and ended up writing nest-commander as a commander wrapper for NestJS, so my CLIs and servers can use the same framework. Lately I've been working on adding in plugin support too.

Overall, I'm pretty excited to have this flow automated and working through three of my favorite package management tools. Everything will also work if you're using a yarn workspace instead, just change the sed script to modify the workspace file for yarn instead of the one for pnpm. I'm currently using this for my ogma and nest-commander repositories, feel free to have a look if you need some inspiration and/or real life examples. If you're developing packages and using an Nx workspace and need automated package deployment, give this a shot.

There's also packages like nest-commander (disclaimer: that one is also mine) for making CLI applications instead of HTTP servers.

I've used Express, Fastify, and NestJS for the most part. I almost exclusively work with NestJS now, as you can imagine. The fact that it has an opinionated structure for how to architect your application is something that drew me in to begin with. With almost every Nest application I can pick it up, scan the structure, and have a good idea of what's going to be happening at a very high level. It also has defined classes with specific roles. A guard will always be used for authentication, a pipe will always be for transformation and validation of request information, a filter will always be for error handling. The only one that doesn't have a "this is always for that" is an interceptor, which is pretty much your middleware of the Nest world. Logging, caching, response mapping, it can do it all. There's also using Nest for more than just web servers, as there's nest-commander (one of my packages) for CLI applications, and there's discord bot packages for Nest as well.

Overall it looks pretty good. I prefer having each class as it's own command line how nest-commander does it, but this seems to be a pretty good alternative

There's two underlying packages, one for either HTTP adapter, @nestjs/platform-express and @nestjs/platfoorm-fastify. Both of these have HttpAdapter classes that implement the abstract HttpAdapter that Nest uses as a main interface. Nest doesn't actually need the adapters to run either, you can make a microservice application that doesn't have any HTTP components, or even CLI applications with community packages (disclaimer: that one is mine). Nest is really there to help provide the modular system and help with architecture (in my opinion).

The entire idea Kamil had behind Nest was to create a framework that encouraged clean architectural design and a common format for Node projects. I've gone so far as to develop packages on top of it that aren't HTTP related at all, like command line applications and an abstraction to help create them.