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

Product type Paperback

Published in Apr 2023

Publisher Packt

ISBN-13 9781804616710

Length 504 pages

Edition 1st Edition

Tools

AWS

Concepts

DevOps

Authors (2):

Fabio Oliveira

Phani Kumar Lingamallu

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Table of Contents (22) Chapters

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

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Overview of CloudWatch metrics and logs

In Chapter 2, Overview of the Observability Landscape on AWS, you gained an understanding of the functionalities provided by CloudWatch metrics, CloudWatch logs, and the dashboard. Now let’s dive into the technical terms related to these services.

CloudWatch metrics have three main terms and they are as follows:

Metric: A metric is a variable to monitor and is a time-ordered set of data points.
Metric namespace: A CloudWatch metric namespace is a logical store for storing different CloudWatch metrics. Metrics from different namespaces are isolated from each other using metric namespaces. There are two main types of namespaces, namely AWS namespaces and custom namespaces. All the default AWS vended metrics will be published to AWS namespaces with the AWS/Service. Metrics published from the CloudWatch agent and metrics published from applications are published to custom namespaces. You can see the namespaces available in...

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

Table of Contents (22) Chapters

Overview of CloudWatch metrics and logs

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Authors (2)

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