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The art of Site Reliability Engineer...

Beloki, Unai Huete.

The art of Site Reliability Engineering (SRE) with Azurebuilding and deploying applications that endure /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The art of Site Reliability Engineering (SRE) with Azureby Unai Huete Beloki ; foreword by Peter De Tender.
其他題名:	building and deploying applications that endure /
作者:	Beloki, Unai Huete.
其他作者:	Tender, Peter De,.
出版者:	Berkeley, CA :Apress :2025.
面頁冊數:	xvi, 353 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Application softwareDevelopment.
電子資源:	https://doi.org/10.1007/979-8-8688-1545-4
ISBN:	9798868815454$q(electronic bk.)

The art of Site Reliability Engineering (SRE) with Azurebuilding and deploying applications that endure /
Beloki, Unai Huete.

The art of Site Reliability Engineering (SRE) with Azurebuilding and deploying applications that endure /[electronic resource] :by Unai Huete Beloki ; foreword by Peter De Tender. - Second edition. - Berkeley, CA :Apress :2025. - xvi, 353 p. :ill., digital ;24 cm.

Chapter 1: The Foundation of Site Reliability Engineering -- Chapter 2: Service-Level Management Definitions and Acronyms -- Chapter 3: Azure Well-Architected Framework (WAF) -- Chapter 4: Architecting Resilient Solutions in Azure -- Chapter 5: Automation to Enable SRE with GitHub Actions/Azure DevOps/Azure Automation -- Chapter 6: Monitoring As the Key to Knowledge -- Chapter 7: Efficiently Handle Incident Response and Blameless Postmortems -- Chapter 8: Azure Chaos Studio and Azure Load Testing -- Chapter 9: Agentic solutions for SREs.

Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures. The new edition of the book has been updated with the latest Azure features for high-availability in storage, networking, and virtual machine computing. It also includes new updates in Azure SQL, Cosmos DB, and Azure Load Testing. Additionally, the integration of agents with Microsoft services has been covered in this revised edition. After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud. What You Will Learn: Learn SRE definitions and metrics like SLI/SLO/SLA, Error Budget, toil, MTTR, MTTF, and MTBF Understand Azure Well-Architected Framework (WAF) and Disaster Recovery scenarios on Azure Understand resiliency and how to design resilient solutions in Azure for different architecture types and services Master core DevOps concepts and the difference between SRE and tools like Azure DevOps and GitHub Utilize Azure observability tools like Azure Monitor, Application Insights, KQL or Grafana.

ISBN: 9798868815454$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-1545-4doiSubjects--Topical Terms:

189413
Application software
--Development.

LC Class. No.: QA76.76.M52

Dewey Class. No.: 005.365

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520 $a Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures. The new edition of the book has been updated with the latest Azure features for high-availability in storage, networking, and virtual machine computing. It also includes new updates in Azure SQL, Cosmos DB, and Azure Load Testing. Additionally, the integration of agents with Microsoft services has been covered in this revised edition. After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud. What You Will Learn: Learn SRE definitions and metrics like SLI/SLO/SLA, Error Budget, toil, MTTR, MTTF, and MTBF Understand Azure Well-Architected Framework (WAF) and Disaster Recovery scenarios on Azure Understand resiliency and how to design resilient solutions in Azure for different architecture types and services Master core DevOps concepts and the difference between SRE and tools like Azure DevOps and GitHub Utilize Azure observability tools like Azure Monitor, Application Insights, KQL or Grafana.
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