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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

Application observability with App Mesh and Cloud Map

The goal of observability is knowing what is going on internally. In a microservice application, there are various moving parts and components of your application, so it is quite important to understand the flow of traffic within the different microservices that are interconnected. This is one of the pillars of observability called tracing. As the application grows, the number of microservices in the system grows. If there is no service mesh in the system, it becomes near impossible to understand the inner workings of the system and how traffic flows from service to service.

Important Note

Microservices are an architecture used to develop applications, where the application is broken down into different pieces that work independently, run independently, are developed independently, and are also deployed independently. During runtime, these systems then connect and share information via different media, APIs, message queuing...

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