Book Image

Serverless Design Patterns and Best Practices

By : Brian Zambrano
Book Image

Serverless Design Patterns and Best Practices

By: Brian Zambrano

Overview of this book

Serverless applications handle many problems that developers face when running systems and servers. The serverless pay-per-invocation model can also result in drastic cost savings, contributing to its popularity. While it's simple to create a basic serverless application, it's critical to structure your software correctly to ensure it continues to succeed as it grows. Serverless Design Patterns and Best Practices presents patterns that can be adapted to run in a serverless environment. You will learn how to develop applications that are scalable, fault tolerant, and well-tested. The book begins with an introduction to the different design pattern categories available for serverless applications. You will learn thetrade-offs between GraphQL and REST and how they fare regarding overall application design in a serverless ecosystem. The book will also show you how to migrate an existing API to a serverless backend using AWS API Gateway. You will learn how to build event-driven applications using queuing and streaming systems, such as AWS Simple Queuing Service (SQS) and AWS Kinesis. Patterns for data-intensive serverless application are also explained, including the lambda architecture and MapReduce. This book will equip you with the knowledge and skills you need to develop scalable and resilient serverless applications confidently.
Table of Contents (18 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Logging


Tracking exceptions and problems within your application is critical; however, there will inevitably be cases where you wish you had more insight into the state of your application when a problem occurs. For this task, you will need to set yourself up with a good logging strategy. Log messages are a tool we have used for a very long time - and still use often. Very often, log messages are sent to files on disk and then shipped off to a log aggregator. Since we don't have access to these same types of logging system in a serverless architecture, we'll need to come up with something new.

AWS Lambda functions and other FaaS providers offer some mechanisms for keeping track ofstdoutandstderrstreams. In the case of Lambda, any print statements or other error messages will end up in CloudWatch Logs. This delivery to CloudWatch happens automatically, and is especially useful as you'll always know where to go to check for errors or debugging statements. While this is a helpful feature, there...