You're reading from Building Resilient Architectures on AWS A practical guide to architecting cost-efficient, resilient solutions in AWS

Product type Paperback

Published in Dec 2024

Publisher Packt

ISBN-13 9781835887103

Length 346 pages

Edition 1st Edition

Tools

AWS

Concepts

Cloud Computing

Authors (3):

Ajit Puthiyavettle

Rodrigue Koffi

Imaya Kumar Jagannathan

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Table of Contents (21) Chapters

Preface

1. Part 1: Setting the Stage – Learning the Basics of Designing Resilient Architectures FREE CHAPTER

2. Chapter 1: Understanding Resilience Concepts

3. Chapter 2: Implementing Resilient Compute and Auto Scaling

4. Chapter 3: Securing and Backing Up Critical Data

5. Chapter 4: Orchestrating Graceful Degradation

6. Chapter 5: Exploring the AWS Shared Responsibility Model

7. Part 2: Building Resilient Cloud Architectures on AWS

8. Chapter 6: Learning AWS Well-Architected Principles for Resiliency

9. Chapter 7: Architecting Fault-Tolerant Applications

10. Chapter 8: Resiliency Considerations for Serverless Applications

11. Chapter 9: Using Containers to Improve Resiliency

12. Chapter 10: Resilient Architectures Across Regions

13. Part 3: Validating Your Architecture for Resiliency

14. Chapter 11: Examples of Resilient Architecture

15. Chapter 12: Observability, Auditing, and Continuous Improvement

16. Chapter 13: Performing Chaos Engineering Testing

17. Chapter 14: Disaster Recovery Planning and Testing

18. Chapter 15: Finalize Building Resilient Architecture Using AWS Resilience Services

19. Index

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Logging key metrics and events

Monitoring key metrics and events is crucial to ensuring reliability on the AWS cloud. Logging of key metrics and events helps in monitoring your resources and applications to ensure they are operating reliably. In this section, we will go over the steps to log key metrics and events for common resources within the AWS environment.

Here are some of the most important ones to consider:

CPU utilization: Monitor CPU utilization for your EC2 instances, containers, and serverless functions. High CPU utilization can indicate performance issues or potential bottlenecks.
Memory usage: Track memory usage for your EC2 instances, containers, and serverless functions. Low memory availability can cause performance issues, crashes, or slowdowns.
Disk utilization: Monitor disk utilization for your EC2 instances, especially for root volumes and data volumes. Low disk space can cause performance issues, crashes, or data loss.
Network traffic: Monitor...

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You're reading from Building Resilient Architectures on AWS A practical guide to architecting cost-efficient, resilient solutions in AWS

Table of Contents (21) Chapters

Logging key metrics and events

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Authors (3)

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