opentelemetry-collector-contrib VS toolbox

The open telemetry collector does just that. https://github.com/open-telemetry/opentelemetry-collector-co...

There are two official distributions of the OpenTelemetry Collector: Core, and Contrib.

Maybe, you are asking yourself: "But I already had instrumented my applications with vendor-specific libraries and I'm using their agents and monitoring tools, why should I change to OpenTelemetry?". The answer is: maybe you're right and I don't want to encourage you to update the way how you are doing observability in your applications, that's a hard and complex task. But, if you are starting from scratch or you are not happy with your current observability infrastructure, OpenTelemetry is the best choice, independently of the backend telemetry tool that you are using. I would like to invite you to take a look at the number of exporters available in the collector contrib section, if your backend tracing tool is not there, probably it's already using the Open Telemetry Protocol (OTLP) and you will be able to use the core collector. Otherwise, you should consider changing your backend telemetry tool or contributing to the project creating a new exporter.

To receive OTLP data, you set up the standard otlp receiver to receive data in HTTP or gRPC format. To forward traces and metrics, a batch processor was defined to accumulate data and send it every 100 milliseconds. Then set up a connection to Tempo (in otlp/tempo exporter, with a standard top exporter) and to Prometheus (in prometheus exporter, with a control exporter). A debug exporter also was added to log info on container standard I/O and see how the collector is working.

Thanks for the reply. Would the Spotlight sidecar possibly be able to run independently and consume spans emitted by the Sentry exporter[0] or some other similar flow beyond strictly exporting directly from the Sentry SDK provided by Spotlight?

This tooling looks really cool and I'd love to play around with it, but am already pretty entrenched into OTel and funneling data through the collector and don't want to introduce too much additional overhead for devs.

[0] https://github.com/open-telemetry/opentelemetry-collector-co...

A list of all metric definitions can be found here.

receivers: otlp: protocols: grpc: endpoint: 0.0.0.0:4317 http: endpoint: 0.0.0.0:4318 hostmetrics: collection_interval: 60s scrapers: cpu: {} disk: {} load: {} filesystem: {} memory: {} network: {} paging: {} process: mute_process_name_error: true mute_process_exe_error: true mute_process_io_error: true processes: {} prometheus: config: global: scrape_interval: 60s scrape_configs: - job_name: otel-collector-binary scrape_interval: 60s static_configs: - targets: ["localhost:8889>"] - job_name: "jvm-metrics" scrape_interval: 10s metrics_path: "/actuator/prometheus" static_configs: - targets: ["localhost:8090>"] processors: batch: send_batch_size: 1000 timeout: 10s # Ref: https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/main/processor/resourcedetectionprocessor/README.md resourcedetection: detectors: [env, system] # Before system detector, include ec2 for AWS, gcp for GCP and azure for Azure. # Using OTEL_RESOURCE_ATTRIBUTES envvar, env detector adds custom labels. timeout: 2s system: hostname_sources: [os] # alternatively, use [dns,os] for setting FQDN as host.name and os as fallback extensions: health_check: {} zpages: {} exporters: otlp: endpoint: "ingest.{region}.signoz.cloud:443" tls: insecure: false headers: "signoz-access-token": logging: verbosity: normal service: telemetry: metrics: address: 0.0.0.0:8888 extensions: [health_check, zpages] pipelines: metrics: receivers: [otlp] processors: [batch] exporters: [otlp] metrics/internal: receivers: [prometheus, hostmetrics] processors: [resourcedetection, batch] exporters: [otlp] traces: receivers: [otlp] processors: [batch] exporters: [otlp] logs: receivers: [otlp] processors: [batch] exporters: [otlp]

If you are using the prometheus exporter, you can use the transform processor to get specific resource attributes into metric labels.

With the advantage that you get only the specific attributes you want, thus avoiding a cardinality explosion.

https://github.com/open-telemetry/opentelemetry-collector-co...

OpenTelemetry Operators

The team has both made a ton of effort switching off their proprietary Skia based rendering tech and adopting standard Wayland, and has put forward huge effort to making running incredibly well integrated real Linux containers just work.

The headline is true. ChromeOS is Linux with Google’s desktop environment. But it obfuscates the details. It's a damned by omission statement. It has some really good sauce to help you not notice often, but it's not at all a Linux desktop environment one can regularly use. You can do a lot of Linux desktop-y things but only through well crafted special unique wrapped processes that mostly but not fully help mock & emulate a regular Linux desktop. Even though it now runs Wayland, the apps you want to run will have atypical intermediates up the wazoo.

And no one else uses any of this tech. ChromiumOs has so much interesting container tech, does such an interesting job making containers think they have a regular Linux / FreeDesktop environment. It's far far far far deeper virtualization than for example https://github.com/containers/toolbox . But you know what? Google has made zero effort to get these pieces adopted elsewhere. It's open source but not intended for use outside Chromium/ChromeOS. I respect & think ChromeOS is a quite viable Linux, and it's so much closer to the metal & more interesting, amazing tech, but my gods Microsoft has gone 300x further to establish wsl2 as a sustainable community effort folks could use & target, in a way that ChromiumOS has done nothing about.

It's sad how Google has transformed from a company that appreciated & worked with ecosystems, that drove things collectively forward, into an individual player that does their own things & delivers from on high. ChromiumOS is such an incredible effort, but it's so internernally drive & focused, and it's hard to believe in such a wildcat effort, even though it's so so good. It keeps coming into better alignment with Linux Desktop actual, but via shims and emulations that no one else cares about or which seems marketed elsewhere. And that inward focus makes the whole effort both so exceptional & promising, but suspect. Such a different nearby but alternative & separately governed universe. ChromiumOS/ChromeOS do excellent at faking being a Linux desktop, and wonderfully have increasingly drawn more strength from that universe, but are still wholly their own very distinct very separate very controller other space. In many ways that's great, secure, good, and miraculously transparently done. But it's still hard to really trust, being such a weird alien impostor, faking so much for end user apps, and there's tension in believing ChromeOS will keep straddling the rift in pro-user manifestations forever.

I'm really, really happy with my current setup of Fedora immutable + toolbox [0]. This tool lets you create containers that are fully integrated with the system, so you have acces to the entire Fedora repos, can run graphical apps, etc. while still having everything inside a container in your home directory. That means no Flatpak required. Highly recommended.

[0] https://containertoolbx.org

Seems like toolbox is also in this space; https://github.com/containers/toolbox

With Silverblue the core repos are very similar to what you'd have on regular Fedora. With more of a philosophical shift about where you're supposed to install things from. The idea being that the base OS is immutable and you keep it fairly minimal - even though you are technically free to install any of Fedora packages to it. And then you install user applications through Flatpak and toolbx. Where these more user space focussed applications are installed to your home directory and are sandboxed away from actual access to your OS. With iOS/Android style application permissions like "Give app permission to access camera" and "Give app permission to modify files in home directory". Allowing you even further customise the sandboxing of applications. Do you really want that app to have access to your microphone?

I'd probably try running it on the host system first. If you want to use your nvidia gpu inside toolbox, you would indeed need to install the drivers in the container: https://github.com/containers/toolbox/issues/116

Use toolbox on CentOS or Ubuntu if you want a Fedora environment with more up to date tools: https://containertoolbx.org/