Book Overview & Buying
Table Of Contents

Mastering AWS Lambda

By : Yohan Wadia, Gupta

2 (1)

Buy this Book

Mastering AWS Lambda

2 (1)

By: Yohan Wadia, Gupta

Buy this Book

Overview of this book

AWS is recognized as one of the biggest market leaders for cloud computing and why not? It has evolved a lot since the time it started out by providing just basic services such as EC2 and S3 and today; they go all the way from IoT to Machine Learning, Image recognition, Chatbot Frameworks, and much more! One of those recent services that is also gaining a lot of traction is AWS Lambda! Although seemingly simple and easy to use, Lambda is a highly effective and scalable compute service that provides developers with a powerful platform to design and develop Serverless event-driven systems and applications. The book begins with a high-level introduction into the world of Serverless computing and its advantages and use cases, followed by a deep dive into AWS Lambda! You’ll learn what services AWS Lambda provides to developers; how to design, write, and test Lambda functions; as well as monitor and troubleshoot them. The book is designed and accompanied with a vast variety of real-world examples, use cases, and code samples that will enable you to get started on your Serverless applications quickly. By the end of the book, you will have gained all the skills required to work with AWS Lambda services!

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

Introducing AWS Lambda

What is serverless computing?

Introducing AWS Lambda

Getting started with AWS Lambda

Pricing and limitations

Planning your next steps

Summary

Writing Lambda Functions

The Lambda programming model

Versioning and aliases

Packaging and deploying

Recommendations and best practices

Planning your next steps

Summary

Testing Lambda Functions

The need for testing Lambda function

Testing with a simple serverless test harness

Recommendations and best practices

Planning your next steps

Summary

Event-Driven Model

Introducing event-driven architectures

Understanding events and AWS Lambda

Exploring Lambda and event mapping

Planning your next steps

Summary

Extending AWS Lambda with External Services

Introducing Webhooks

Integrating GitHub with AWS Lambda

Integrating Slack with AWS Lambda

Invoking Lambda using an external application

Planning your next steps

Recommendations and best practices

Summary

Build and Deploy Serverless Applications with AWS Lambda

Introducing SAM

Introducing AWS step functions

Planning your next steps

Summary

Monitoring and Troubleshooting AWS Lambda

Monitoring Lambda functions using CloudWatch

Introducing AWS X-Ray

Monitoring Lambda functions using Datadog

Logging your functions with Loggly

Recommendations and best practices

Summary

Introducing the Serverless Application Framework

What is the Serverless Framework?

Recommendations and best practices

Summary

AWS Lambda - Use Cases

Infrastructure management

Data transformation

Summary

Next Steps with AWS Lambda

Processing content at the edge with Lambda@Edge

Building next generation chatbots with Lambda and Lex

Processing data at the edge with Greengrass and Lambda

Introducing Snowball Edge

Summary

Integrating Slack with AWS Lambda

I'm a big fan of Slack and have been using it for quite some time now. It's perhaps one of the trendiest collaboration tools, just because of it's intuitiveness and ability to program things around it! Perhaps that's why this particular use case is also one of my favorites. In this scenario, we will be using Slack as our custom EC2 alerting dashboard by integrating it with AWS Lambda and a few other services. The alerts will be sent out to a custom made Slack channel that the IT team will use to track alerts and other important notifications.

In a broader sense, here are the list of things that we plan to do for this activity:

Create SNS topic which will act as the Lambda trigger.
Create a CloudWatch alarm for one of our EC2 machines. Say if CPU utilization goes higher than 80% then, trigger the alarm.
The CloudWatch alarm...