Timeline for What methods are available for connecting many-to-many containers?
Current License: CC BY-SA 4.0
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| Jun 28, 2018 at 12:06 | history | edited | Benyamin Jafari | CC BY-SA 4.0 |
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| Jun 22, 2018 at 20:19 | comment | added | Tensibai | I'll stop trying to make you edit this answer into something usable, you're answering aside of the question which has very few value in my eyes as it's a basic container orchestration problem you won't solve with statically typed names/addresses in the docker file when you're up to 50 containers and more | |
| Jun 22, 2018 at 19:34 | comment | added | Benyamin Jafari |
@Tensibai The docker have an IP, and each of containers have an specific IP. Tensorflow container port on this example is 8888 and we have four tensorflow instance (container) with exterior ports (9001, 9002, 9003, 9004). If you want use each of tensorflow container must be use <tesnorflow-containers-IP>:8888 or use <docker-IP>:900X
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| Jun 22, 2018 at 6:20 | comment | added | Tensibai | And what about how to use it in the other containers? | |
| Jun 21, 2018 at 20:16 | comment | added | Benyamin Jafari |
@Tensibai On this answer, I create two containers of tensorflow as a simple exaplme, you can create four tensorflow container with scale of that, using 9001, 9002, 9003, 9004 ports.
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| Jun 21, 2018 at 19:03 | comment | added | Tensibai | I fail to see how you'd tell the 4 nginx container to spread their loads on then 2 tensor flow ones, and that sound tedious to scale out of this simple example | |
| Jun 21, 2018 at 16:01 | history | edited | Benyamin Jafari | CC BY-SA 4.0 |
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| Jun 21, 2018 at 15:55 | history | edited | Benyamin Jafari | CC BY-SA 4.0 |
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| Jun 21, 2018 at 15:53 | review | First posts | |||
| Jun 21, 2018 at 16:44 | |||||
| Jun 21, 2018 at 15:48 | history | answered | Benyamin Jafari | CC BY-SA 4.0 |