You're reading from Engineering MLOps

Product typeBook

Published inApr 2021

PublisherPackt

ISBN-139781800562882

Edition1st Edition

Tools

Azure Functions

Concepts

Machine Learning

Author (1)

Emmanuel Raj

Testing the API

To test the API for readiness, we will perform the following steps:

Let's start by building the Docker image. For this, a prerequisite is to have Docker installed. Go to your terminal or Command Prompt and clone the repository to your desired location and access the folder 08_API_Microservices. Execute the following Docker command to build the Docker image:
```
docker build -t fastapi .
```
Execution of the build command will start building the Docker image following the steps listed in the Dockerfile. The image is tagged with the name fastapi. After successful execution of the build command, you can validate whether the image is built and tagged successfully or not using the docker images command. It will output the information as follows, after successfully building the image:
```
(base) user ~ docker images   
REPOSITORY   TAG       IMAGE ID       CREATED     ...
```

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Engineering MLOps

Published in: Apr 2021Publisher: PacktISBN-13: 9781800562882

Author (1)

Emmanuel Raj

Emmanuel Raj is a Finland-based Senior Machine Learning Engineer with 6+ years of industry experience. He is also a Machine Learning Engineer at TietoEvry and a Member of the European AI Alliance at the European Commission. He is passionate about democratizing AI and bringing research and academia to industry. He holds a Master of Engineering degree in Big Data Analytics from Arcada University of Applied Sciences. He has a keen interest in R&D in technologies such as Edge AI, Blockchain, NLP, MLOps and Robotics. He believes "the best way to learn is to teach", he is passionate about sharing and learning new technologies with others.
Read more about Emmanuel Raj

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