Table Of ContentCloud Native Python
Practical techniques to build apps that dynamically scale to
handle any volume of data, traffic, or users
Manish Sethi
BIRMINGHAM - MUMBAI
Cloud Native Python
Copyright © 2017 Packt Publishing
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First published: July 2017
Production reference: 1190717
Published by Packt Publishing Ltd.
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ISBN 978-1-78712-931-3
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Credits
Author Copy Editor
Manish Sethi Sonia Mathur
Reviewers Project Coordinator
Sanjeev Kumar Jaiswal Prajakta Naik
Mohit Sethi
Commissioning Editor Proofreader
Aaron Lazar Safis Editing
Acquisition Editor Indexer
Alok Dhuri Rekha Nair
Content Development Editor Graphics
Lawrence Veigas Abhinash Sahu
Technical Editor Production Coordinator
Supriya Thabe Nilesh Mohite
Foreword
In 2000, during the peak of the dotcom boom, I developed web applications in C++ and Perl.
One had to personally go to the ISP data center and install the machine along with a RAID
setup. From 2003-2006, the world moved to shared hosting powered by virtual machines.
Today, the world is a different place, one where cloud computing providers, such as AWS,
Azure, Google Cloud, and programming languages such as Python, Ruby, and Scala make
it child's play to launch and scale websites.
While cloud computing makes it easy to get started, its offerings are ever expanding with
new tools, deployment methodologies, and changing workflows. Take, for instance, what
compute offerings should a developer build on? Software as a Service, or Platform as a
Service, or Infrastructure as a Service Platform? Should the developer choose Docker, or a
normal virtual machine setup for deployment? Should the entire software architecture
follow an MVC or a microservices model?
Manish has a done a good job in the book, equipping a Python developer with skills to
thrive in a cloud computing world. The book starts off with laying the foundation of what
cloud computing is all about and its offerings. It's beneficial that most chapters in the book
are self-contained, allowing the reader to pick up and learn/refresh their knowledge of
what's needed for the current sprint/task. The workings of technologies such as CI and
Docker are precisely explained in clear prose that does away with the underlying
complexity. The Agile model of software development keeps us developers on toes,
requiring developers to learn new tools in days and not weeks. The book's hands-on
approach to teaching with screenshots on installation, configuration, and compact code
snippets equips developers with the knowledge they need, thus making them productive.
A preference for full-stack developers, the implicit requirement of knowing cloud
computing 101, and CIOs wanting to achieve a lot more with small teams are the norms
today. Cloud Native Python is the book a freshman, beginner, or intermediate Python
developer should read to get themselves up to speed on the tools and technology that
power today's software development.
The complexity of cloud computing is in the details, be it the deployment workflow,
managing infrastructure, security, or the tooling ecosystem. These choices have lasting
implications for the software that's being built and the team developing and maintaining it.
Ankur Gupta
Founder of NumerateLabs LLP
Curator of newsletters: ImportPython & DjangoWeekly
About the Author
Manish Sethi works as an engineer in Bangalore, India. Over the course of his career, he
has worked for startups and Fortune 10 companies, helping organizations adopt a cloud
native approach to architecting massively scalable products.
He regularly spends time learning and implementing new technology paradigms and
actively finds himself solving practical problems using serverless architecture, machine and
deep learning, and so on. He contributes to Bangalore DevOps and the Docker community
by writing blog posts, giving talks in meetups, and so on.
I would like to thank my brother, Mohit Sethi, and my mother, Neelam Sethi, who have
been very supportive and encouraged me throughout my career and when writing this
book.
About the Reviewers
Sanjeev Kumar Jaiswal is a computer graduate with 8 years of industrial experience. He
uses Perl, Python, 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, and Web and Cloud Security projects.
Currently, Sanjeev is learning NodeJS and React Native as well. He loves teaching
engineering students and IT professionals, and he has been teaching for the last 8 years in
his leisure time.
He founded Alien Coders (http://www.aliencoders.org) based on the learning through
sharing principle, for computer science students and IT professionals in 2010, which became
a huge hit in India among engineering students. You can follow him on Facebook at http
://www.facebook.com/aliencoders, on Twitter at @aliencoders, and on GitHub at http
s://github.com/jassics.
He has authored Instant PageSpeed Optimization, and co-authored Learning Django Web
Development, both by Packt. He has reviewed more than seven books for Packt and looks
forward to authoring or reviewing more books for Packt and other publishers.
Mohit Sethi is a solutions architect with 10+ years of experience in building and managing
products across the IaaS, PaaS, and SaaS space in the areas of cloud, storage, distributed
systems, data analytics, and machine learning. Previously, he worked for a Silicon Valley
startup, a Fortune 10 company, and a National Defense Organization. He has been an open
source contributor for 12+ years and has been running the DevOps meetup group in
Bangalore for more than 3 years.
You can contact him on Twitter at https://twitter.com/mohitsethi, LinkedIn (https
://in.linkedin.com/in/mohitsethi7), and GitHub (https://github.com/mohitsethi).
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