Hi Team, Suddenly since a few days, the model deployment has started taking a lot of time ~45 min. This was not the case earlier. Any leads on what should be checked ? Thanks
Best Answer
S
Stéphanie FOURRIER
said
over 2 years ago
The model deployment process involves communication between the application server and the database server to analyse for new and updated objects. So in the first instance, I would advise you to check the network between the two servers.
In deploying a model, a large proportion of the time is spent in validating the model which is done in memory on the application server. As your model gets larger, increasing the memory of your application server will certainly help in reducing the time taken.
1 Comment
S
Stéphanie FOURRIER
said
over 2 years ago
Answer
The model deployment process involves communication between the application server and the database server to analyse for new and updated objects. So in the first instance, I would advise you to check the network between the two servers.
In deploying a model, a large proportion of the time is spent in validating the model which is done in memory on the application server. As your model gets larger, increasing the memory of your application server will certainly help in reducing the time taken.
Stéphanie FOURRIER
Hi Team, Suddenly since a few days, the model deployment has started taking a lot of time ~45 min. This was not the case earlier. Any leads on what should be checked ? Thanks
The model deployment process involves communication between the application server and the database server to analyse for new and updated objects. So in the first instance, I would advise you to check the network between the two servers.
In deploying a model, a large proportion of the time is spent in validating the model which is done in memory on the application server. As your model gets larger, increasing the memory of your application server will certainly help in reducing the time taken.
Stéphanie FOURRIER
The model deployment process involves communication between the application server and the database server to analyse for new and updated objects. So in the first instance, I would advise you to check the network between the two servers.
In deploying a model, a large proportion of the time is spent in validating the model which is done in memory on the application server. As your model gets larger, increasing the memory of your application server will certainly help in reducing the time taken.
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