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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

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

View More author details

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

Why subscribe?

21. Other Books You May Enjoy

Technical requirements

In this chapter, you will deploy an Amazon ECS workload using a CloudFormation template. So, knowledge of containers and how to write CloudFormation templates is needed.

We will see sample code in Python. Python syntax is easy to understand, so if you do not know Python but know C, C++, Java, or C#, you are well equipped to understand the source code.

All the source code for this chapter can be found here: https://github.com/PacktPublishing/An-Insider-s-Guide-to-Observability-on-AWS/tree/main/chapter-09.

The rest of the chapter is locked

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Authors (2)

Phani Kumar Lingamallu

Phani Kumar Lingamallu

Phani Kumar Lingamallu works as a senior partner solution architect at Amazon Web Services (AWS). With around 19 years of IT experience, he previously served as a consultant for several well-known companies, such as Microsoft, HCL Technologies, and Harsco. He has worked on projects such as the large-scale migration of workloads to AWS and the Azure cloud. He has hands-on experience with the setup of monitoring/management for over 45,000 servers, and the design and implementation of large-scale AIOps transformations for clients across Europe, the US, and APAC, covering monitoring, automation, reporting, and analytics. He holds a Master of Science in electronics and possesses certifications including AWS Solution Architect Professional and Microsoft Certified Azure Solution Architect Expert.

See other products by Phani Kumar Lingamallu

Fabio Oliveira

Fabio Oliveira

Fabio Braga de Oliveira works as a senior partner solution architect at AWS. He carries a wealth of experience from various industries – automotive, industrial, and financial services, working in the last 19 years as a software engineer/team lead/solutions architect. His professional interests range from big to small: he loves event-driven architectures, helping build complex, highly efficient systems, and also working on small devices, building devices fleet to collect data and support companies to drive new insights, using analytics techniques and machine learning. He majored in electronics and has a BS in computer science, an MBA in project management, and a series of IT certifications, among them AWS Certified Solution Architect – Professional. Nowadays, he supports AWS partners in the DACH/CEE region with application modernization (serverless and containers) and IoT workloads.

See other products by Fabio Oliveira

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