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Building Serverless Microservices in Python

You're reading from   Building Serverless Microservices in Python A complete guide to building, testing, and deploying microservices using serverless computing on AWS

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789535297
Length 168 pages
Edition 1st Edition
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Author (1):
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Richard Takashi Freeman Richard Takashi Freeman
Author Profile Icon Richard Takashi Freeman
Richard Takashi Freeman
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Table of Contents (8) Chapters Close

Preface 1. Serverless Microservices Architectures and Patterns 2. Creating Your First Serverless Data API FREE CHAPTER 3. Deploying Your Serverless Stack 4. Testing Your Serverless Microservice 5. Securing Your Microservice 6. Summary and Future Work 7. Other Books You May Enjoy

Loading and end-to-end testing at scale

Next, we are going to take a look at Locust, which is a Python tool for performance and load testing. Then we are going to talk about strategies to reduce the API's latency and improve the response time of the API, and using Locust will show us the performance improvements.

Load testing your serverless microservice

First, you need to have a serverless microservice stack running with ./build-package-deploy-lambda-dynamo-data-api.sh, and have loaded data into the DynamoDB table using the python3 dynamo_insert_items_from_file.py Python script.

Then install Locust, if it hasn't already been installed with the other packages in requirements.txt:

$ sudo pip3 install locustio 

Locust...

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