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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 FREE CHAPTER 2. Creating Your First Serverless Data API 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

Strategies to reduce the API's latency

There are many strategies to reduce latency. We will look at two, both of which are set in the SAM template:

  • Increasing the Lambda RAM size: Currently, it is set to the minimum of 128 MB
  • Increasing the DynamoDB Read Capacity: Currently, it is set to the smallest value of 1 unit
What I really like about DynamoDB is that you can change the capacity per table, and change the write capacity independently of the read capacity. This is very interesting and cost-effective for me in read-heavy use cases, where I can set the read capacity higher than the write capacity. There are even options to have the table autoscale based on the read/write utilization, or have the capacity purely based on demand, where you pay per read/write request.

We will start by increasing the DynamoDB read capacity for the table from 1 to 500 read units (keep the write...

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