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AWS Observability Handbook

You're reading from   AWS Observability Handbook Monitor, trace, and alert your cloud applications with AWS' myriad observability tools

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781804616710
Length 504 pages
Edition 1st Edition
Tools
Concepts
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Authors (2):
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Fabio Oliveira Fabio Oliveira
Author Profile Icon Fabio Oliveira
Fabio Oliveira
Phani Kumar Lingamallu Phani Kumar Lingamallu
Author Profile Icon Phani Kumar Lingamallu
Phani Kumar Lingamallu
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Toc

Table of Contents (22) Chapters Close

Preface 1. Part 1: Getting Started with Observability on AWS
2. Chapter 1: Observability 101 FREE CHAPTER 3. Chapter 2: Overview of the Observability Landscape on AWS 4. Chapter 3: Gathering Operational Data and Alerting Using Amazon CloudWatch 5. Chapter 4: Implementing Distributed Tracing Using AWS X-Ray 6. Part 2: Automated and Machine Learning-Powered Observability on AWS
7. Chapter 5: Insights into Operational Data with CloudWatch 8. Chapter 6: Observability for Containerized Applications on AWS 9. Chapter 7: Observability for Serverless Applications on AWS 10. Chapter 8: End User Experience Monitoring on AWS 11. Part 3: Open Source Managed Services on AWS
12. Chapter 9: Collecting Metrics and Traces Using OpenTelemetry 13. Chapter 10: Deploying and Configuring an Amazon Managed Service for Prometheus 14. Chapter 11: Deploying the Elasticsearch, Logstash, and Kibana Stack Using Amazon OpenSearch Service 15. Part 4: Scaled Observability and Beyond
16. Chapter 12: Augmenting the Human Operator with Amazon DevOps Guru 17. Chapter 13: Observability Best Practices at Scale 18. Chapter 14: Be Well-Architected for Operational Excellence 19. Chapter 15: The Role of Observability in the Cloud Adoption Framework 20. Index 21. Other Books You May Enjoy

Troubleshooting performance issues using X-Ray groups

It would be practically difficult to analyze all the X-Ray traces generated by a complex system and look at each trace to understand the issues. That’s where X-Ray groups will be helpful. X-Ray groups will help simplify the process by focusing on the filtered traces based on rule-based criteria when there is a breach in a specific parameter. For example, if you would like to focus on the traces where the response time is greater than 3 seconds, you can create an X-Ray group with the criteria of responseTime > 3. This way, you can quickly isolate and analyze only the traces that indicate a problem, making it easier to identify and resolve issues. Let’s create an X-Ray group and understand only the problematic traces from the generated traces:

  1. You can see from the following figure that there are three traces with different response times. You can filter and focus only on the traces with a response time greater...
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