Accelerating Cloud Development with Amazon Q Developer
Packt Publishing Limited (Verlag)
978-1-83588-510-9 (ISBN)
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Key Features
Discover real-world use cases, scenarios, and best practices for enterprise development from AWS experts
Find out how to utilize Amazon Q Developer’s features to improve efficiency at each stage of the SDLC
Streamline your code development to create, test, troubleshoot, and maintain your applications
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionGenerative AI allows organizations to move faster than ever, but teams not only want to move fast, they also want the comfort of working securely and with best practices in mind. This book will help you effectively use Amazon Q Developer in your existing software development lifecycle (SDLC).
The chapters will introduce you to GenAI and then take you through trending challenges that AWS observed with their customers and in the market that led to the creation of Amazon Q Developer. You’ll get a clear understanding of critical features and everyday use cases across the SDLC, and learn how to set up and navigate Amazon Q Developer, perform basic integrations, and work with simple use cases. You'll also get to grips with advanced aspects, including leveraging software development agents, code transformation agents, security scanning, and customization features. The concluding chapters will cover real-world scenarios and further education on additional AWS services that’ll help you on your generative AI cloud journey.
By the end of this book, you'll not only efficiently utilize Amazon Q Developer's capabilities, but also apply the service to enhance your productivity.What you will learn
Familiarize yourself with generative AI concepts and the benefits of its usage within organizations
Work with common use cases for leveraging Amazon Q Developer in your SDLC
Get to grips with the key features and components of Amazon Q Developer
Find out how to identify and work backwards for your unique use cases
Discover how Amazon Q Developer fits into your organization
Go through Amazon Q integrations with other AWS services and collaboration tools
Who this book is forThis book is for software developers, IT professionals, and DevOps engineers interested in leveraging Amazon Q Developer within the software development lifecycle. If you’re seeking practical knowledge on how to apply Amazon Q Developer throughout the various phases of the SDLC, from planning and coding to deployment and maintenance, then this book is for you. Individuals looking to integrate generative AI into their existing workflows to improve productivity and gain insights into optimizing applications and infrastructure on AWS will find this book useful.
David Ernst is a Senior Specialist Solution Architect at AWS with over 20 years of experience, specializing in DevOps and Generative AI. He excels in architecting and managing cloud-based solutions, with a focus on automation, infrastructure as code, continuous integration/delivery, and generative AI. David excels in driving transformational change for AWS customers globally. He is passionate about leadership and is dedicated to fostering a culture of continuous improvement among his customers. David is also a speaker for events including AWS re:Invent, AWS Summits, and PyCon. Additionally, he has authored several blogs in the AWS community, including one on developing a User Activity Dashboard for Amazon Q Developer. Alyssa Lee is a Senior Go-To-Market Specialist at AWS, specializing in Generative AI. With 6 years of experience in Artificial Intelligence and Machine Learning, and 12 years of prior experience in tech roles at Google and Dell, she now helps customers globally leverage the power of GenAI to increase efficiency in their businesses and software development lifecycles. Alyssa is a certified speaker and has been invited to speak on AI/ML at AWS re:Invent, AWS Summits, SocialCode Austin, Connecting the Americas at SXSW, and at universities such as University of Texas at Dallas and Collin College. She is also a strong advocate for STEM and Women in Tech, and serves as a mentor to students and those new to the tech industry.
Table of Contents
Exploring Generative AI in Cloud Development
Understanding Amazon Q
First Steps with Amazon Q: Simple Integrations and Use Cases
Amazon Q Use Cases: From Developer to Business
Enhancing Productivity and Customization
Exploring Security and Automated Remediation
Troubleshooting Made Easy
Feature Integration and Application Upgrading
Working with Data
Exploring AWS Services and Solutions
Staying Ahead with Amazon Q: Future Trends and Continuing Education
| Erscheinungsdatum | 22.08.2024 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Informatik ► Software Entwicklung ► SOA / Web Services |
| Mathematik / Informatik ► Informatik ► Web / Internet | |
| ISBN-10 | 1-83588-510-1 / 1835885101 |
| ISBN-13 | 978-1-83588-510-9 / 9781835885109 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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