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Serverless Design Patterns and Best Practices

You're reading from   Serverless Design Patterns and Best Practices Build, secure, and deploy enterprise ready serverless applications with AWS to improve developer productivity

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788620642
Length 260 pages
Edition 1st Edition
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Author (1):
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 Zambrano Zambrano
Author Profile Icon Zambrano
Zambrano
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Table of Contents (18) Chapters Close

Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
1. Introduction FREE CHAPTER 2. A Three-Tier Web Application Using REST 3. A Three-Tier Web Application Pattern with GraphQL 4. Integrating Legacy APIs with the Proxy Pattern 5. Scaling Out with the Fan-Out Pattern 6. Asynchronous Processing with the Messaging Pattern 7. Data Processing Using the Lambda Pattern 8. The MapReduce Pattern 9. Deployment and CI/CD Patterns 10. Error Handling and Best Practices 1. Other Books You May Enjoy Index

Iteration and deployment


While developing this code using the existing repository, I repeatedly needed to update just the GraphQL portion of the stack. Using the Serverless Framework and its ability to update a single Lambda function made this very easy. With the shortcut in the Makefile, deploying a single function looks like the following:

root@7466ff009753:/code# make deploy function=GraphQL 
cd serverless && sls deploy function -s dev -f GraphQL 
Serverless: Packaging function: GraphQL... 
Serverless: Excluding development dependencies... 
Serverless: Uploading function: GraphQL (5.74 MB)... 
Serverless: Successfully deployed function: GraphQL 
root@7466ff009753:/code# make deploy

It's hard to give exact numbers, but deployments like this after iteration on code take in the order of two-five seconds. Deployment speed will mostly depend on your upload speeds and the final size of the application package.

Of course, iterating and adding new code means writing more tests. Serverless...

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