Rohit - Building Serverless Applications with Python: Develop fast, scalable, and cost-effective web applications that are always available

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Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in recommender systems, machine learning, and serverless and distributed systems. Raj currently works as a senior consultant data scienceand NLP at Episource, before which he worked at Zomato and Kayako. He contributes to open source projects in Python, Go, and Julia. He also speaks at tech conferences about serverless engineering and machine learning.

Sanjeev Jaiswal is a computer graduate from CUSAT with 9 years of industrial experience. He basically uses Perl, Python, AWS, and GNU/Linux for his day-to-day activities. He is currently working on projects involving penetration testing, source code review, security design and implementations in AWS, and cloud security projects.

He is learning DevSecOps and Security Automation currently as well. Sanjeev loves teaching engineering students and IT professionals. He has been teaching in his leisure time for the last 8 years.

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Serverless engineering is a new domain of engineering that allows developers to write code and deploy infrastructures without having to worry about maintaining servers. This book explains the concepts of serverless engineering with Python examples on cloud architectures.

This book is for Python developers who would like to learn about serverless architectures in cloud-based platforms such as Azure and Amazon Web Services (AWS). Python programming knowledge is assumed.

, The Serverless Paradigm, introduces the reader to the concepts of microservices and serverless architectures, and provides a clear understanding of the pros and cons.

, Building a Serverless Application in AWS, covers AWS Lambda and explains the concepts, workings, and the components involved in the tool in detail. It also explains the nuances involved in security, user controls, and versioning code inside Lambda.

, Setting Up Serverless Architectures, goes into further detail about the various triggers in AWS Lambda and how they integrate with the functions. The reader will learn what the event structure of each trigger will look like and how to modify the Lambda function with respect to the type of trigger used.

, Deploying Serverless APIs, explores the AWS API Gateway and also teaches the reader how to build efficient, scalable serverless APIs using the API Gateway and Lambda. It goes on to teach the reader how to improve the API by adding authorization and how to set up user-level controls such as throttling of requests.

, Logging and Monitoring, presents the concept of logging and monitoring in serverless applications. This is mostly still an unsolved problem in this domain. This chapter guides the reader through setting up logging and monitoring in the AWS environment with Python via custom metrics and logging. This chapter also goes into the details of best practices when it comes to logging and monitoring Lambda functions in Python.

, Scaling Up Serverless Architectures, discusses the practice of scaling up serverless architectures for large workloads using several third-party tools. This chapter also teaches the reader how to handle security, logging, and monitoring using the available Python modules.

, Security in AWS Lambda