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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
18
Index

Best practices to build AWS IoT applications

When building an IoT application on AWS, you should keep the following best practices in mind:

  • Secure your devices: Ensure that all your devices are correctly configured and have the latest security updates. Use AWS IoT Device Defender to monitor and secure your devices against potential security threats.
  • Use MQTT or HTTPS for communication: These protocols are designed for low-bandwidth, low-power devices and are well suited for IoT applications.
  • Use AWS IoT Analytics to process and analyze your data: This service provides tools for cleaning, filtering, and transforming IoT data before it is analyzed.
  • Store your data in the right place: Depending on your use case, you may want to store your data in a time-series database like Amazon Timestream or a data lake like Amazon S3.
  • Use AWS IoT Greengrass for edge computing: With Greengrass, you can run AWS Lambda functions on your devices, allowing you to process...
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