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AWS for Solutions Architects

AWS for Solutions Architects - Second Edition

By : Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed
4.3 (62)
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AWS for Solutions Architects

AWS for Solutions Architects

4.3 (62)
By: Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed

Overview of this book

The second edition of AWS for Solutions Architects provides a practical guide to designing cloud solutions that align with industry best practices. This updated edition covers the AWS Well-Architected Framework, core design principles, and cloud-native patterns to help you build secure, high-performance, and cost-effective architectures. Gain a deep understanding of AWS networking, hybrid cloud connectivity, and edge deployments. Explore big data processing with EMR, Glue, Kinesis, and MSK, enabling you to extract valuable insights from data efficiently. New chapters introduce CloudOps, machine learning, IoT, and blockchain, equipping you with the knowledge to develop modern cloud solutions. Learn how to optimize AWS storage, implement containerization strategies, and design scalable data lakes. Whether working on simple configurations or complex enterprise architectures, this guide provides the expertise needed to solve real-world cloud challenges and build reliable, high-performing AWS solutions.
Table of Contents (19 chapters)
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17
Other Books You May Enjoy
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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...
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