Hello guys,
I read about Trains some days ago and think it is exectly what I was looking for, so I ran the docker image and started thinking of what I would like to do and the processing steps I would like to automize which I currently run manually triggered ...
I think I would like to start directly with a kubernetes serverless environment but unfortunately I never used it before. I read months ago a lot about it, but my focus moved .... Docker I have been in contact and created also own images, but just a 'normal' way without compose and or swarm.
I tried to visualize the steps I have (partly planned to have) so far on my privat project. The result is shown in the attached picture :male-artist:
The read circles could be added in separate Docker images, how to have the transition from one step (running in a read box) to another is so far quite unclear to me, but I expect Kubernetes / Ranger will have standard solutions on event queues and distributing their events to participating workers.
Basically the idea is to have a distributed file system, sychronizing the raw data of my data provider ( http://eoddata.com ) via wget (ftp connection) which is also on git controll and pushed to http://Gitlab.com (private project). The sync from the provider of all data takes too long so I decided to involve Gitlab for the case that I will need to get a copy of them (in case my system dies/upgrades/...). Also the data provider is providing historical data for a defined time span and I would like to keep the data disapering from the view on the server.
Once done, I use a couple of scripts to pre-process the data (generate SQLite DBs and parquet files for fast loading in Python), NA handling, normalization, whatever is needed to make the ML algorithms lucky.
Finally I use the data to generate models and compare them with each other. This is where I was searching for a tool and found Trains.
At the end, the process flow should make use of stored models and provide a report.

The reason why I'm writing you all of that is, that I need someone to ask stupid questions wich will come up when starting working with Kubernetes/Rancher. As the first question would be, what distributed FS to use and how, how to signal the step e.g. synchronization of data has been finished... tioll I finaly come to the state to make use of the fancy features of Trains and it's agents

Do you think this channel is the right for it?