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Implementing AWS: Design, Build, and Manage your Infrastructure.

You're reading from   Implementing AWS: Design, Build, and Manage your Infrastructure. Leverage AWS features to build highly secure, fault-tolerant, and scalable cloud environments

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Product type Course
Published in Jan 2019
Publisher Packt
ISBN-13 9781788835770
Length 690 pages
Edition 1st Edition
Tools
Concepts
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Authors (4):
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Yohan Wadia Yohan Wadia
Author Profile Icon Yohan Wadia
Yohan Wadia
Lucas Chan Lucas Chan
Author Profile Icon Lucas Chan
Lucas Chan
Udita Gupta Udita Gupta
Author Profile Icon Udita Gupta
Udita Gupta
Rowan Udell Rowan Udell
Author Profile Icon Rowan Udell
Rowan Udell
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Toc

Table of Contents (29) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. What is New in AWS? FREE CHAPTER 2. Managing EC2 with Systems Manager 3. Introducing Elastic Beanstalk and Elastic File System 4. Securing Workloads Using AWS WAF 5. Governing Your Environments Using AWS CloudTrail and AWS Config 6. Access Control Using AWS IAM and AWS Organizations 7. Transforming Application Development Using the AWS Code Suite 8. Powering Analytics Using Amazon EMR and Amazon Redshift 9. Orchestrating Data using AWS Data Pipeline 10. Managing AWS Accounts 11. Using AWS Compute 12. Management Tools 13. Database Services 14. Introducing AWS Lambda 15. Writing Lambda Functions 16. Testing Lambda Functions 17. Event-Driven Model 18. Extending AWS Lambda with External Services 19. Build and Deploy Serverless Applications with AWS Lambda 20. Monitoring and Troubleshooting AWS Lambda 21. AWS Lambda - Use Cases 22. Next Steps with AWS Lambda 1. Other Books You May Enjoy Index

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. You can sign up for one free of charge for a period of one month. You can sign up by visiting https://www.loggly.com/signup/...

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