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Mastering AWS Lambda

You're reading from   Mastering AWS Lambda Learn how to build and deploy serverless applications

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781786467690
Length 300 pages
Edition 1st Edition
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Authors (2):
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Udita Gupta Udita Gupta
Author Profile Icon Udita Gupta
Udita Gupta
Yohan Wadia Yohan Wadia
Author Profile Icon Yohan Wadia
Yohan Wadia
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introducing AWS Lambda FREE CHAPTER 2. Writing Lambda Functions 3. Testing Lambda Functions 4. Event-Driven Model 5. Extending AWS Lambda with External Services 6. Build and Deploy Serverless Applications with AWS Lambda 7. Monitoring and Troubleshooting AWS Lambda 8. Introducing the Serverless Application Framework 9. AWS Lambda - Use Cases 10. Next Steps with AWS Lambda

Logging your functions with Loggly

You might have already used CloudWatch log streams since the time we have started working with Lambda functions in this book. Although a pretty neat tool; CloudWatch still lacks a good interface for performing log filtering and analysis. That's where Loggly steps in! Loggly is a centralized logging solution that offers powerful filtering capabilities along with the ability to analyze historical data to help detect anomalies within log data.

In this section, we will be exploring two simple use cases where Lambda functions and Loggly can be used together--the first is where we use Lambda to pump logs from CloudWatch all the way to Loggly and the second is by leveraging a few npm modules supported by Loggly for sending your application's logs to Loggly. So, without further ado; let get started!

First up, register for a Loggly account....

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