Book Image

AWS for Solutions Architects - Second Edition

By : Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed
4 (2)
Book Image

AWS for Solutions Architects - Second Edition

4 (2)
By: Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed

Overview of this book

Are you excited to harness the power of AWS and unlock endless possibilities for your business? Look no further than the second edition of AWS for Solutions Architects! Imagine crafting cloud solutions that are secure, scalable, and optimized – not just good, but industry-leading. This updated guide throws open the doors to the AWS Well-Architected Framework, design pillars, and cloud-native design patterns empowering you to craft secure, performant, and cost-effective cloud architectures. Tame the complexities of networking, conquering edge deployments and crafting seamless hybrid cloud connections. Uncover the secrets of big data and streaming with EMR, Glue, Kinesis, and MSK, extracting valuable insights from data at speeds you never thought possible. Future-proof your cloud with game-changing insights! New chapters unveil CloudOps, machine learning, IoT, and blockchain, empowering you to build transformative solutions. Plus, unlock the secrets of storage mastery, container excellence, and data lake patterns. From simple configurations to sophisticated architectures, this guide equips you with the knowledge to solve any cloud challenge and impress even the most demanding clients. This book is your one-stop shop for architecting industry-standard AWS solutions. Stop settling for average – dive in and build like a pro!
Table of Contents (19 chapters)
17
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18
Index

Quantum computing with AWS Braket

Quantum computing is a computing method that employs quantum-mechanical phenomena to execute data operations. In quantum computing, data is expressed as qubits, or quantum bits, which can simultaneously exist in multiple states.

This unique attribute empowers quantum computers to perform specific calculations much more rapidly than classical computers. Despite its potential, this technology is still in its infancy and necessitates specialized hardware and expertise to operate. Some of the key use cases where quantum computing can be very efficient are:

  • Drug discovery and materials science: Quantum computing can be used to simulate complex chemical and biological systems, which can help in the discovery of new drugs and materials.
  • Financial modeling: Quantum computing can solve complex financial problems such as portfolio optimization, option pricing, and risk analysis.
  • ML: Quantum computing can be used to develop new algorithms...