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Solutions Architect's Handbook

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
4.7 (59)
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Solutions Architect's Handbook

Solutions Architect's Handbook

4.7 (59)
By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Master the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.
Table of Contents (20 chapters)
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Index

Managing performance monitoring

Performance monitoring is essential when you are trying to keep an eye on performance issues and proactively reduce end-user impact.

You should define your performance baseline and raise the alarm to the team in the case of a threshold breach—for example, an application’s mobile app load time should not be more than three seconds. Your alarm should be able to trigger an automated action to handle poorly performing components—for example, adding more nodes to a web application cluster to reduce the request load.

There are multiple monitoring tools that measure application performance and overall infrastructure. You can use a third-party tool like Splunk or the AWS-provided Amazon CloudWatch to monitor any application.

Monitoring solutions can be categorized into active monitoring and passive monitoring solutions:

  • With active monitoring, you must simulate user activity and identify performance gaps up front...
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