wandb VS Netdata

Weights & Biases — The developer-first MLOps platform. Build better models faster with experiment tracking, dataset versioning, and model management. Free tier for personal projects only, with 100 GB of storage included.

HuggingFace and wandb.ai (both competitors of OpenAI) both also have "do own research"

Wandb is the best! https://wandb.ai/

To track stuff I've used wandb.ai in a company in the past, as someone else pointed out. Regarding metrics... This is really specific to your domain, and it is such a broad question. You could count color pixels, the distribution of intensity histograms, etc etc.

Step 1: The colab notebook uses wandb.ai, so you need to register for a wandb.ai account beforehand if you want to use the colab notebook. After registering you need to go to your homepage and copy the API key and paste/keep it somewhere.

I want to take a look at tools like https://wandb.ai/ and they would integrate into some of the pipelines I'm playing with.

does current cgi and ai tech can bring back leslie nielsen? might use unreal engine and https://www.resemble.ai/ or https://wandb.ai/?

I'm currently working for a MLOps company so I'm heavily using their tools (Weights & Biases) but I've used custom C++ for deployment, Pytorch + fastai for quick experimentation, Weights & Biases for experiment tracking, hyper-parameter tuning + model versioning (hence why I went to work for them), custom database + data pipeline, HoloViz for data visualisation (really nice dashboarding tool), Jenkins for CI/CD, I also love Github Actions.

netdata.cloud — Netdata is an open-source tool to collect real-time metrics. It's a growing product and can also be found on GitHub!

Netdata is designed with efficiency, scalability, and flexibility in mind, aiming to address most of the challenges associated with both open-source tools and commercial SaaS offerings.

Monitoring = netdata on each RPi https://www.netdata.cloud/ binded to the vpn interface being scraped into a prometeus thaons https://thanos.io/ setup with grafana to give management the Green all is good screens (very important).

We run netdata to have a bit of insight into whats happening on the 10+ dedicated servers in Falkenstein. So far we have seen a 1hour_ecc_memory_correctable about once a month. Suddenly we get 1hour_ecc_memory_correctable like every day from different servers. Any ideas why that could be happening?

Documentation and source code of this plugin: https://github.com/netdata/netdata/tree/master/collectors/systemd-journal.plugin

Home Page and source code: https://github.com/netdata/netdata

I started the discussion, and offered a solution too:

https://github.com/netdata/netdata/discussions/16136

hey - I work on ML at Netdata (disclaimer).

We have a big PR open and under review at moment that brings in a lot more logs capabilities: https://github.com/netdata/netdata/pull/13291

We also have some specific logs collectors too - i think in here might be best place to look around at the moment, should take you to the logs part of the integrations section in our demo space (no login needed, sorry for the long horrible url, we adding this section to our docs soon but at moment only lives in the app)

https://app.netdata.cloud/spaces/netdata-demo/rooms/all-node...