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How to host a TensorFlow or Keras model in AWS SageMaker - nginx.conf
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| events { | |
| # determines how many requests can simultaneously be served | |
| # https://www.digitalocean.com/community/tutorials/how-to-optimize-nginx-configuration | |
| # for more information | |
| worker_connections 2048; | |
| } | |
| http { | |
| server { | |
| # configures the server to listen to the port 8080 | |
| listen 8080 deferred; | |
| # redirects requests from SageMaker to TF Serving | |
| location /invocations { | |
| proxy_pass http://localhost:8501/v1/models/half_plus_three:predict; | |
| } | |
| # Used my SageMaker to confirm if server is alive. | |
| location /ping { | |
| return 200 "OK"; | |
| } | |
| } | |
| } |
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