خرید و دانلود نسخه کامل کتاب زبان اصلی Advanced Azure Systems Engineering: Production Cloud Architecture Security Reliability and Operations (An Advanced Visual Guide to Computer Systems Book 1) PDF | دانلود کتاب خارجی

آنتونی رابینز میگه : من در 40 سالگی به جایی رسیدم که برای رسیدن بهش 82 سال زمان لازمه و این رو مدیون کتاب خواندن زیاد هستم.

 
Build and operate Azure platforms with the engineering judgment expected in real production environments.Advanced Azure Systems Engineering is a detailed visual guide for experienced systems engineers, cloud architects, platform engineers, site reliability engineers, and DevOps professionals who need to make defensible architecture decisions, automate repeatable deployments, secure critical workloads, and diagnose failures under pressure.This is not a beginner’s tour of the Azure portal. The book begins with Azure Resource Manager control-plane mechanics, service-level objectives, failure domains, regions, availability zones, landing zones, Microsoft Entra identity, Azure Policy, and enterprise governance. It then develops packet-level networking, DNS, private connectivity, VPN, ExpressRoute, Virtual WAN, load balancing, egress controls, and firewall design.Production compute and data chapters compare virtual machines, App Service, Functions, Container Apps, Azure Kubernetes Service, Azure Storage, Azure SQL, managed open-source databases, Cosmos DB, Azure Managed Redis, Azure AI Search, Service Bus, Event Grid, Event Hubs, and API Management. The focus is not feature memorization, but selection criteria, protocol behavior, scaling limits, deployment patterns, failure semantics, recovery, and operational trade-offs.Security and delivery coverage includes Zero Trust, role-based access control, workload identities, Key Vault, Managed HSM, certificates, Defender for Cloud, Microsoft Sentinel, Bicep, Terraform, continuous integration and delivery, progressive delivery, and software supply-chain security. Operations chapters explain Azure Monitor, OpenTelemetry, KQL, PromQL, incident response, disaster recovery, performance engineering, quotas, throttling, FinOps, and systematic troubleshooting.The final sections cover Azure Arc, hybrid operations, migration engineering, production AI and machine learning on Azure, retrieval-augmented generation, evaluation, model governance, and integrated reference architectures.You will learn how to:- translate business requirements into measurable reliability objectives and architecture constraints- design secure landing zones, identity boundaries, and network controls- choose services according to workload behavior and failure model- automate infrastructure and delivery with a controlled blast radius- build observability that supports rapid incident diagnosis- validate backup, failover, recovery, and regional resilience- control cloud cost without weakening reliability- operate AI workloads as governed production systemsExtensive diagrams, decision maps, failure paths, code examples, runbooks, game-day scenarios, and readiness checklists make the material practical for architecture reviews, implementation, and operations.Use this book as a deep-study guide, architecture reference, and production troubleshooting companion.