Book Image

Mastering AWS Lambda

By : Yohan Wadia, Udita Gupta
Book Image

Mastering AWS Lambda

By: Yohan Wadia, Udita Gupta

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!
Table of Contents (11 chapters)

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....