Hi,
I am looking for examples of the use of AZURE cloud for doing WRF simulation. Do you use containers such as Docker or upload the model with a script each time?
Dear Prof. Héctor Hito Sepúlveda,
Useful info is presented below in the following sources:
Run container applications on Azure Batch
Why use containers? Using containers provides an easy way to run Batch tasks without having to manage an environment and dependencies to run applications. Containers deploy applications as lightweight, portable, self-sufficient units that can run in several different environments. For example, build and test a container locally, then upload the container image to a registry in Azure or elsewhere. ... For Windows container workloads, we recommend choosing a multicore VM size for your pool. Supported virtual machine images. ... Use the application packages feature of Azure Batch to easily manage multiple applications and versions for installation on Batch compute nodes. Run tasks concurrently to maximize usage of Batch compute nodes
https://docs.microsoft.com/en-us/azure/batch/batch-docker-container-workloads
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[Huawei Cloud Technology Sharing] Weather simulation WRF containerized operation practice
WRF stands for Weather Research and Forecasting Model, which is a software for weather research and forecasting models. Let's use Docker containerization to take one, which is convenient to use. 1 Introduction to WRF. The full name of WRF is Weather Research and Forecasting Model, which is a weather-research and forecasting model that can be used for fine-scale weather simulation and forecasting. reference: https://xg1990.com/blog/archives/190. ... Therefore, using Docker lightweight containers to ensure the consistency of the software environment is a very inconsistent way. Once the mirroring is done, WRF can be run anywhere. This can also be seen from the official WRF GitHub website.
https://programmersought.com/article/31826472646/
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Using Azure functions with Docker
In this article i will explain you in a few words and steps what is Docker containers and Azure functions and how they work together.
With this simple steps tutorial, we’ll be diving in this world of building the microservice-oriented apps you need. By using simple, serverless functions that scale to meet demand. Also we must mention the power of using the programming language of your choice (C# or NodeJS), and one of the most important things in terms of hardware, we don’t need to worry about servers or infrastructure of any kind.
https://medium.com/@carlosboichu87/using-azure-functions-with-docker-a3bb5da7526a
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