GiganticTurtle0 notice that when you spin an agent with --services-mode, you basically let it run many Tasks at once (this is in contrast to the default behavior, when you have one Task per agent).
So, for example, if I have a machine with 64 CPU cores, I will be able to run up to 64 agents (in case my system consists of only this machine), right?
Hi CostlyOstrich36 AgitatedDove14
Oh no, I am not trying to say that I am using each agent to run a single task. I have several agents listening to a number of queues so that they are busy most of the time. As we talked about, it is not possible to run multiple pipelines ( PipelineDecorator.pipeline ) simultaneously in a single process. That's why I had been testing locally launching pipelines in different subprocesses and this way I have managed to run several pipelines concurrently. I was just wondering if instead of using local subprocesses, several agents could serve the same purpose (running several pipelines concurrently)
. I was just wondering if instead of using local subprocesses, several agents could serve the same purpose (running several pipelines concurrently)
wouldn't --service-mode (read as multiple simultaneous Tasks on the same agent) solve the issue?
(BTW: if you set the pipeline component target queue to "services" , this is exactly what will happen)
GiganticTurtle0 Hi 🙂
You can use worker/agent interchangeably. When running an agent a new process is started. I think the only limitation on number of works running is the amount of the resources your system has to spare.
Regarding if it can be a thread I'll give you information soon.
Ok! I'll try to spin up an agent with the --service-mode command and I will give you feedback
GiganticTurtle0 I'm not sure why a direct correlation between the number of agents and cores is an issue, but the issue is resources - each agent will run a task in a separate process (or docker container) - do you really want each one of your tasks to run on a single core shared with the agent process? Wouldn't you get better performance if each task has more cores to run with? What about GPUs?
