AWS Observability Handbook: Monitor, trace, and alert your cloud applications with AWS' myriad observability tools

As modern application architecture grows increasingly complex, identifying potential points of failure and measuring end user satisfaction, in addition to monitoring application availability, is key. This book helps you explore AWS observability tools that provide end-to-end visibility, enabling quick identification of performance bottlenecks in distributed applications.
You’ll gain a holistic view of monitoring and observability on AWS, starting from observability basics using Amazon CloudWatch and AWS X-Ray to advanced ML-powered tools such as AWS DevOps Guru. As you progress, you'll learn about AWS-managed open source services such as AWS Distro for OpenTelemetry (ADOT) and AWS managed Prometheus, Grafana, and the ELK Stack. You’ll implement observability in EC2 instances, containers, Kubernetes, and serverless apps and grasp UX monitoring. With a fair mix of concepts and examples, this book helps you gain hands-on experience in implementing end-to-end AWS observability in your applications and navigating and troubleshooting performance issues with the help of use cases. You'll also learn best practices and guidelines, such as how observability relates to the Well-Architected Framework.
By the end of this AWS book, you’ll be able to implement observability and monitoring in your apps using AWS’ native and managed open source tools in real-world scenarios.

1143391377
AWS Observability Handbook: Monitor, trace, and alert your cloud applications with AWS' myriad observability tools

As modern application architecture grows increasingly complex, identifying potential points of failure and measuring end user satisfaction, in addition to monitoring application availability, is key. This book helps you explore AWS observability tools that provide end-to-end visibility, enabling quick identification of performance bottlenecks in distributed applications.
You’ll gain a holistic view of monitoring and observability on AWS, starting from observability basics using Amazon CloudWatch and AWS X-Ray to advanced ML-powered tools such as AWS DevOps Guru. As you progress, you'll learn about AWS-managed open source services such as AWS Distro for OpenTelemetry (ADOT) and AWS managed Prometheus, Grafana, and the ELK Stack. You’ll implement observability in EC2 instances, containers, Kubernetes, and serverless apps and grasp UX monitoring. With a fair mix of concepts and examples, this book helps you gain hands-on experience in implementing end-to-end AWS observability in your applications and navigating and troubleshooting performance issues with the help of use cases. You'll also learn best practices and guidelines, such as how observability relates to the Well-Architected Framework.
By the end of this AWS book, you’ll be able to implement observability and monitoring in your apps using AWS’ native and managed open source tools in real-world scenarios.

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AWS Observability Handbook: Monitor, trace, and alert your cloud applications with AWS' myriad observability tools

AWS Observability Handbook: Monitor, trace, and alert your cloud applications with AWS' myriad observability tools

AWS Observability Handbook: Monitor, trace, and alert your cloud applications with AWS' myriad observability tools
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AWS Observability Handbook: Monitor, trace, and alert your cloud applications with AWS' myriad observability tools

AWS Observability Handbook: Monitor, trace, and alert your cloud applications with AWS' myriad observability tools

Overview

As modern application architecture grows increasingly complex, identifying potential points of failure and measuring end user satisfaction, in addition to monitoring application availability, is key. This book helps you explore AWS observability tools that provide end-to-end visibility, enabling quick identification of performance bottlenecks in distributed applications.
You’ll gain a holistic view of monitoring and observability on AWS, starting from observability basics using Amazon CloudWatch and AWS X-Ray to advanced ML-powered tools such as AWS DevOps Guru. As you progress, you'll learn about AWS-managed open source services such as AWS Distro for OpenTelemetry (ADOT) and AWS managed Prometheus, Grafana, and the ELK Stack. You’ll implement observability in EC2 instances, containers, Kubernetes, and serverless apps and grasp UX monitoring. With a fair mix of concepts and examples, this book helps you gain hands-on experience in implementing end-to-end AWS observability in your applications and navigating and troubleshooting performance issues with the help of use cases. You'll also learn best practices and guidelines, such as how observability relates to the Well-Architected Framework.
By the end of this AWS book, you’ll be able to implement observability and monitoring in your apps using AWS’ native and managed open source tools in real-world scenarios.

Product Details

ISBN-13: 9781804617083
Publisher: Packt Publishing
Publication date: 04/28/2023
Sold by: Barnes & Noble
Format: eBook
Pages: 504
File size: 46 MB
Note: This product may take a few minutes to download.

About the Author

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.
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.

Table of Contents

Table of Contents
  1. Observability 101
  2. Overview of the Observability Landscape on AWS
  3. Gathering Operational Data and Alerting Using Amazon CloudWatch
  4. Implementing Distributed Tracing Using AWS X-Ray
  5. Insights into Operational Data with CloudWatch
  6. Observability for Containerized Applications on AWS
  7. Observability for Serverless Applications on AWS
  8. End User Experience Monitoring on AWS
  9. Collecting Metrics and Traces Using OpenTelemetry
  10. Deploying and Configuring an Amazon Managed Service for Prometheus
  11. Deploying the Elasticsearch, Logstash, and Kibana Stack Using Amazon OpenSearch Service
  12. Augmenting the Human Operator with Amazon DevOps Guru
  13. Observability Best Practices at Scale
  14. Be Well-Architected for Operational Excellence
  15. The Role of Observability in the Cloud Adoption Framework
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