Microsoft Azure

When an attack hits the cloud, the evidence can disappear fast. Forensics in the Cloud shows defenders how to find, preserve and piece together the clues across AWS, Azure, GCP and Oracle Cloud. With practical workflows, code and real-world scenarios, it’s a hands-on guide to uncovering what happened and proving it.

The Guide presents more than 12 domains and shows their interactions, roles and responsibilities in a comprehensive format that can be adapted to your organization no matter its size.It includes more than 60 checklists for auditing activities.Register your copy for a free 2027 version. Details inside the book.

What actually happens after you click Login? Beyond the screen, beyond the redirects, beyond the success message, enterprise Single Sign-On reveals its true complexity. Beyond the Login Screen exposes the real mechanics of SSO—HTTP calls, cookies, tokens, and protocol exchanges—across Spring Boot, Keycloak, and Azure Entra ID. This book is for professionals who need more than configurations: it is for those who must understand identity deeply, troubleshoot decisively, and deliver reliable authentication experiences when it matters most.

Troubleshooting Linux systems can feel like solving a mystery—but the right strategies make all the difference. This ebook teaches practical techniques, tools, and real-world approaches that help you diagnose problems faster and fix them with confidence.

Embark on a transformative journey from basic to intricate infrastructure configurations—think high availability, scalability, and security—all through the power of Infrastructure as Code. Dive into the automation of Azure resource deployments, leveraging DevOps tools with comprehensive, step-by-step guidance and practical examples. But the learning doesn't stop at deployment; delve deeper into automated governance and monitoring, ensuring your infrastructure is not just built but also managed with precision and efficiency.

Cloud networks rarely fail in obvious ways. A DNS lookup breaks, a route disappears or traffic vanishes somewhere between clouds. This book shows you how to understand what is really happening, build networks that hold up under pressure and troubleshoot failures with confidence across AWS, Azure, Google Cloud, Kubernetes and hybrid environments.

A GPU inference service on Azure that costs nothing while idle. Real billing data from 48 days in production, plus every trap that cost me time getting there.

Cloud Computing: From Fundamentals to Advanced Concepts is a comprehensive guide that takes you from the basics of cloud computing to advanced topics including virtualization, cloud architecture, cloud security, cloud storage, Service-Oriented Architecture (SOA), cloud governance, benchmarking, analytics, and real-world cloud implementations.Written for BCA, B.Tech, MCA students.

Azure from Zero to Production is a practical guide for engineers who want to build secure, reliable and automated platforms on Microsoft Azure. It covers real-world architecture, infrastructure automation, deployments, cost and performance optimization and day-to-day operations, helping you take workloads from development to production with confidence.

In this book, you build a production-grade system with a multi-stage pipeline that compiles, tests, scans, provisions infrastructure with Terraform and Bicep, deploys with zero downtime, validates with Newman, manages packages through Azure Artifacts, and instruments every stage with the security controls that modern AI-era applications require.

Your first Azure virtual machine is sixty minutes away. This book gets you there without the panic.

Most writing about AI and infrastructure stops at the demo. This book starts on the day the model is confidently wrong at 3 a.m. and an auditor asks who authorised the action it took. Seven working labs — MCP servers with real identity and audit, closed-loop remediation behind a reversibility gate, and autonomy that can be revoked — for platform engineers in safety-critical and regulated industries.

Tired of Azure’s steep learning curve and endless documentation? Azure For Starters by Chinmoy Mukherjee turns real-world pain into practical success. Follow a complete, production-ready sample system—user authentication, invoice uploads to Blob Storage, Spark validation in Databricks, Redis caching, Cosmos DB, Functions, and Kubernetes deployment—complete with working code, configs, and screenshots that save you 6–8 weeks of ramp-up time.

A hands-on guide to building, scheduling, and deploying data pipelines with Apache Airflow 2.x from scratch to AWS MWAA production deployment.