Book Image

AWS SysOps Cookbook - Second Edition

By : Eric Z. Beard, Rowan Udell, Lucas Chan
Book Image

AWS SysOps Cookbook - Second Edition

By: Eric Z. Beard, Rowan Udell, Lucas Chan

Overview of this book

AWS is an on-demand remote computing service providing cloud infrastructure over the internet with storage, bandwidth, and customized support for APIs. This updated second edition will help you implement these services and efficiently administer your AWS environment. You will start with the AWS fundamentals and then understand how to manage multiple accounts before setting up consolidated billing. The book will assist you in setting up reliable and fast hosting for static websites, sharing data between running instances and backing up data for compliance. By understanding how to use compute service, you will also discover how to achieve quick and consistent instance provisioning. You’ll then learn to provision storage volumes and autoscale an app server. Next, you’ll explore serverless development with AWS Lambda, and gain insights into using networking and database services such as Amazon Neptune. The later chapters will focus on management tools like AWS CloudFormation, and how to secure your cloud resources and estimate costs for your infrastructure. Finally, you’ll use the AWS well-architected framework to conduct a technology baseline review self-assessment and identify critical areas for improvement in the management and operation of your cloud-based workloads. By the end of this book, you’ll have the skills to effectively administer your AWS environment.
Table of Contents (15 chapters)

Using IOPipe to instrument your lambda functions

IOPipe is a multi-tenant SaaS application that hooks into your Lambda functions via a function wrapper that you apply to your event handlers. It records detailed trace data from your function invocations so that you can profile your code as it runs. It helps developers while they are debugging their code, and it also helps operations spot problems quickly. Each time you make an AWS API call from within your code, the performance of that call is recorded so that you can see exactly where excess time is being spent. For example, you can see the average time it takes to execute a query of your DynamoDB table, or how long it takes to put an object into an S3 bucket.

How to do it...

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