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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

Technical requirements

This chapter is more code-oriented since often, we will need to give up a more black-box approach to modify the code and collect more application context details.

We will use two sample applications to demonstrate the usage of AWS X-Ray in real scenarios, one implemented in JavaScript/Node.js and another in Java. Code experience with those languages is welcome, but we will keep it simple so that no deep understanding is required.

We will rely on infrastructure automation using CloudFormation. Please check the product page and documentation at https://aws.amazon.com/cloudformation/.

We will also install and configure software on a Linux server, so some basic bash shell experience is welcome.

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