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Building Resilient Architectures on AWS

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

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Product type Paperback
Published in Dec 2024
Publisher Packt
ISBN-13 9781835887103
Length 346 pages
Edition 1st Edition
Tools
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Authors (3):
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Ajit Puthiyavettle Ajit Puthiyavettle
Author Profile Icon Ajit Puthiyavettle
Ajit Puthiyavettle
Rodrigue Koffi Rodrigue Koffi
Author Profile Icon Rodrigue Koffi
Rodrigue Koffi
Imaya Kumar Jagannathan Imaya Kumar Jagannathan
Author Profile Icon Imaya Kumar Jagannathan
Imaya Kumar Jagannathan
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Toc

Table of Contents (21) Chapters Close

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 20. Other Books You May Enjoy

Scaling and load-balancing containerized applications

Scaling and load balancing are critical aspects of ensuring the resiliency and performance of any application, including applications running inside containers. One of the important mechanisms for resilience is scaling and spreading the load over multiple copies of the systems. Scaling involves adjusting the resources allocated to an application based on demand, ensuring that it can handle fluctuations in traffic or workload. Effective monitoring is essential for making informed scaling decisions. You need to collect and analyze metrics such as CPU utilization, memory usage, network traffic, and sometimes, custom metrics from your applications. By setting appropriate alarms and thresholds based on these metrics, you can trigger scaling actions to maintain the desired performance and resiliency of your applications. Services such as AWS CloudWatch provide comprehensive monitoring capabilities for containerized applications doing...

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