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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
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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

Deploying and Configuring an Amazon Managed Service for Prometheus

Prometheus is a metrics-based monitoring and alerting system initially built at SoundCloud. It is now an open source project, and has been part of the Cloud Native Compute Foundation since 2016. It focuses on doing a few things well: it collects and stores metrics as time-series data, and it has a powerful, highly dimensional data model and query language.

In this chapter, we will discuss Amazon Managed Service for Prometheus (AMP) and Amazon Managed Grafana (AMG). AMP is a Prometheus-compatible monitoring service, and you can use the same APIs and query language you are used to for monitoring your workloads. It is highly available, using multiple availability zones for deployment. And it automatically scales the ingestion, storage, and querying of operational metrics as your requirements go up and down. AMG is an open source visualization and analytics tool, often paired with Prometheus, to generate outstanding...

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