Python Essentials for AWS Cloud Developers : Run and Deploy Cloud-Based Python Applications Using AWS / Serkan Sakinmaz.

Format:

Book

Author/Creator:

Sakinmaz, Serkan, author.

Language:

English

Subjects (All):

Amazon Web Services (Firm).

Cloud computing.

Python (Computer program language).

Physical Description:

1 online resource (224 pages)

Edition:

First edition.

Place of Publication:

Birmingham, England : Packt Publishing Ltd., [2023]

Biography/History:

Sakinmaz Serkan: Serkan SAKINMAZ is a data architect and engineer who lives in Germany. He is currently giving consultancy on the data and cloud area to the key companies in Europe. He has also been giving big data training to the students as well as professionals who want to learn about cloud technologies. He has more than 15 years' experience in programming and more than 8 years' experience in the cloud area. He likes to share what he knows and experiences in the sector, gives seminars, write blogs and defines the future of architecture for key companies. In this book, Serkan will share his experiences. When he is not working, he mostly spends his time with his family, go running, playing table tennis and football.

Summary:

A comprehensive guide to implementing Python applications in AWS while learning about key AWS services Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain hands-on experience in AWS services to effectively implement Python programming Utilize Python with open source libraries to develop data pipelines, APIs, and database applications Leverage the power of AWS to create a cloud-based server and use monitoring and logging features Book Description AWS provides a vast variety of services for implementing Python applications, which can pose a challenge for those without an AWS background. This book addresses one of the more predominant problems of choosing the right service and stepping into the implementation of exciting Python apps using AWS. The book begins by showing you how to install Python and create an AWS account, before helping you explore AWS Lambda, EC2, Elastic Beanstalk, and S3 for Python programming. You'll then gain hands-on experience in using these services to build the Python application. As you advance, you'll discover how to debug Python apps using PyCharm, and then start deploying the Python applications on Elastic Beanstalk. You'll also learn how to monitor Python applications using the CloudWatch service, along with creating and publishing APIs on AWS to access the Python application. The concluding chapters will help you get to grips with storing unstructured and semi-structured data using NoSQL and DynamoDB, as well as advance your knowledge using the Glue serverless data integration service in AWS. By the end of this Python book, you'll be able to take your application development skills up a notch with AWS services and advance in your career. What you will learn Understand the fundamentals of AWS services for Python programming Find out how to configure AWS services to build Python applications Run and deploy Python applications using Lambda, EC2, and Elastic Beanstalk Provision EC2 servers on AWS and run Python applications Debug and monitor Python applications using PyCharm and CloudWatch Understand database operations on AWS by learning about DynamoDB and RDS Explore the API gateway service on AWS using Python to grasp API programming Who this book is for This book is for cloud developers, software developers, and IT specialists who want to develop Python applications on AWS as well as learn the concepts underlying AWS services for implementing the applications. Experience in Python programming is needed to be able to implement the applications on AWS.

Contents:

Cover

Title Page

Copyright and Credit

Contributors

Table of Contents

Preface

Part 1: Python Installation and the Cloud

Chapter 1: Using Python on AWS

What is the cloud?

Understanding the advantages of the cloud

Installing Python

Installing PyCharm

Creating a new project

Summary

Chapter 2: Creating an AWS Account

Creating an AWS account

Part 2: A Deep Dive into AWS with Python

Chapter 3: Cloud Computing with Lambda

Cloud computing

What is Lambda?

The advantages of Lambda

The limitations of Lambda

A sample application with Lambda

Important configurations in Lambda

A Lambda skeleton

Lambda returning value

Logging in Lambda

Filing a metadata parser application with Lambda and S3

Chapter 4: Running Python Applications on EC2

What is EC2?

EC2 purchasing options

On-Demand

Reserved

Spot

Dedicated

EC2 instance types

Auto-scaling

Provisioning an EC2 server

Connecting to an EC2 server

Running a simple Python application on an EC2 server

Processing a CSV file with a Python application on an EC2 server

The AWS CLI

Chapter 5: Running Python Applications with PyCharm

Installing the AWS Toolkit

Configuring the AWS Toolkit

Creating a sample Lambda function in AWS

Running an AWS Lambda function using the AWS Toolkit

Chapter 6: Deploying Python Applications on Elastic Beanstalk

What is Elastic Beanstalk?

Features of Elastic Beanstalk

Creating a Python web application

Deploying a Python web application on Elastic Beanstalk

Part 3: Useful AWS Services to Implement Python

Chapter 7: Monitoring Applications via CloudWatch

What is CloudWatch?

Collecting Lambda logs via CloudWatch

CloudWatch Log Insights

CloudWatch alarms

Summary.

Chapter 8: Database Operations with RDS

Features of RDS

Provisioning RDS

Connecting to the RDS

Creating a table in the database

Database operations with Python

Secrets Manager

Chapter 9: Creating an API in AWS

What is API Gateway?

Creating an API using API Gateway

Chapter 10: Using Python with NoSQL (DynamoDB)

What is a NoSQL database?

Key-value database

Document database

What is a DynamoDB database?

Creating a DynamoDB database

DynamoDB operations with Python

Chapter 11: Using Python with Glue

What is the AWS Glue service?

Features of AWS Glue

Creating an S3 sample file

Defining the permissions for a Glue job

Creating an AWS Glue service

Chapter 12: Reference Project on AWS

What have we learned?

Introducing the Python application

The coding of the Python application

Creating S3 buckets to store images

Creating Lambda code

Creating permissions for the services

Attaching the role to the Lambda function

Creating an API gateway to upload the image

Using Postman to test the API

Index

Other Books You May Enjoy.

Notes:

Description based upon print version of record.

Using Postman to test the API

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9781804618073

1804618071

OCLC:

1378390617