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Infrastructure Monitoring with Amazon CloudWatch

You're reading from   Infrastructure Monitoring with Amazon CloudWatch Effectively optimize resource allocation, detect anomalies, and set automated actions on AWS

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800566057
Length 314 pages
Edition 1st Edition
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Author (1):
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Ewere Diagboya Ewere Diagboya
Author Profile Icon Ewere Diagboya
Ewere Diagboya
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Introduction to Monitoring and Amazon CloudWatch
2. Chapter 1: Introduction to Monitoring FREE CHAPTER 3. Chapter 2: CloudWatch Events and Alarms 4. Chapter 3: CloudWatch Logs, Metrics, and Dashboards 5. Section 2: AWS Services and Amazon CloudWatch
6. Chapter 4: Monitoring AWS Compute Services 7. Chapter 5: Setting Up Container Insights on Amazon CloudWatch 8. Chapter 6: Performance Insights for Database Services 9. Chapter 7: Monitoring Serverless Applications 10. Chapter 8: Using CloudWatch for Maintaining Highly Available Big Data Services 11. Chapter 9: Monitoring Storage Services with Amazon CloudWatch 12. Chapter 10: Monitoring Network Services 13. Chapter 11: Best Practices and Conclusion 14. Assessments 15. Other Books You May Enjoy

Introducing CloudWatch Logs

We previously defined logs in Chapter 1, Introduction to Monitoring, and this time we are going to streamline our understanding of logs in the context of CloudWatch. But for the purpose of reminding us, let's go back to what logs are. Logs are a series of events captured in a text format. The text format could be unstructured or semi-structured data formats.

Important Note

Unstructured data is a kind of data that does not have a specific defined model with which the data is stored. It does not conform to a specific consistent pattern. Unstructured data usually comes with a few data types, such as string, number, or date and time. Most web server logs are unstructured data.

Semi-structured data is a form of storing data that is not fully structured data; it does not conform to the relational (table) method of storing data in rows and columns. Instead, it uses its own unique pairs and grouping of data in a unique way to help the data look a...

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