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Solutions Architect's Handbook

You're reading from   Solutions Architect's Handbook Kick-start your solutions architect career by learning architecture design principles and strategies

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838645649
Length 490 pages
Edition 1st Edition
Tools
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Authors (2):
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Neelanjali Srivastav Neelanjali Srivastav
Author Profile Icon Neelanjali Srivastav
Neelanjali Srivastav
Saurabh Shrivastava Saurabh Shrivastava
Author Profile Icon Saurabh Shrivastava
Saurabh Shrivastava
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Toc

Table of Contents (18) Chapters Close

Preface 1. The Meaning of Solution Architecture 2. Solution Architects in an Organization FREE CHAPTER 3. Attributes of the Solution Architecture 4. Principles of Solution Architecture Design 5. Cloud Migration and Hybrid Cloud Architecture Design 6. Solution Architecture Design Patterns 7. Performance Considerations 8. Security Considerations 9. Architectural Reliability Considerations 10. Operational Excellence Considerations 11. Cost Considerations 12. DevOps and Solution Architecture Framework 13. Data Engineering and Machine Learning 14. Architecting Legacy Systems 15. Solution Architecture Document 16. Learning Soft Skills to Become a Better Solution Architect 17. Other Books You May Enjoy

Continuous monitoring and improvement

Continuous monitoring helps us to understand application and infrastructure performance impacts on the customer. By analyzing data and logs, you can learn how code changes impact users. Active monitoring is essential in the era of 24/7 services and constant updates to both applications and infrastructure. You can be more proactive about monitoring services by creating alerts and performing real-time analysis.

You can track various metrics to monitor and improve your DevOps practice. Examples of DevOps-related metrics are as follows:

  • Change volume: This is the number of user stories developed, the number of lines of new code, and the number of bugs fixed.
  • Deployment frequency: This indicates how often a team is deploying an application. This metric should generally remain stable or show an upward trend.
  • Lead time from development to deployment: The time between the beginning of a development cycle to the end of deployment can be used to identify...
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