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Serverless Programming Cookbook

Serverless Programming Cookbook

By : Kanikathottu
4.6 (15)
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Serverless Programming Cookbook

Serverless Programming Cookbook

4.6 (15)
By: Kanikathottu

Overview of this book

Managing physical servers will be a thing of the past once you’re able to harness the power of serverless computing. If you’re already prepped with the basics of serverless computing, Serverless Programming Cookbook will help you take the next step ahead. This recipe-based guide provides solutions to problems you might face while building serverless applications. You'll begin by setting up Amazon Web Services (AWS), the primary cloud provider used for most recipes. The next set of recipes will cover various components to build a Serverless application including REST APIs, database, user management, authentication, web hosting, domain registration, DNS management, CDN, messaging, notifications and monitoring. The book also introduces you to the latest technology trends such as Data Streams, Machine Learning and NLP. You will also see patterns and practices for using various services in a real world application. Finally, to broaden your understanding of Serverless computing, you'll also cover getting started guides for other cloud providers such as Azure, Google Cloud Platform and IBM cloud. By the end of this book, you’ll have acquired the skills you need to build serverless applications efficiently using various cloud offerings.
Table of Contents (12 chapters)
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Checking logs, insights, and metrics (Console)

In this recipe, we will learn how to log in and check the CloudWatch logs and metrics from the AWS Management Console. This is a simple recipe that is included in this chapter mainly to aid us in our other recipes where we can use CloudWatch to check logs or a metric. If you are familiar with checking logs and metrics from the console, you can skip this recipe.

In this recipe, we will only be discussing metrics that were automatically created by CloudWatch based on the resources we create—for example, Lambdas. In later recipes, we will learn how to create custom metrics from AWS CLI and how to use custom metrics in alarms.

Getting ready

The following are the prerequisites...

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