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

Handling streaming data in AWS

In today’s world, businesses aim to gain a competitive edge by providing timely tailored experiences to consumers. Consumers expect personalized experiences that meet their specific needs and reject those that don’t, such as when applying for a loan, investing, shopping online, tracking health alerts, or monitoring home security systems. As a result, speed has become a critical characteristic that businesses strive to achieve. Insights from data are perishable and can lose value quickly. Streaming data processing allows analytical insights to be gathered and acted upon instantly to deliver the desired customer experience.

Batch processing data doesn’t allow for real-time risk mitigation or customer authentication, and the customer experience can be ruined – and is hard to recover – if action isn’t taken in real time. Acting on real-time data can help prevent fraud and increase customer loyalty. Untimely...