Kick off your book project in 2 hours, get started with GhostAI in 2 hours, or do both! Free live workshops, on Zoom. You’ll leave with a real book project and a clear plan to keep going. Saturday, June 27, 2026.
A practical guide to Microsoft Desired State Configuration (DSC), the cross-platform configuration management tool for Windows, Linux, and macOS. Learn how to author configuration documents, work with built-in resources, adapters, and build custom resources.
This study guide is designed to help IT professionals prepare for the Terraform Professional certification exam by covering all exam objectives in detail. It provides practical examples, tips, and best practices to master Terraform, a key tool for infrastructure as code, and validate your expertise in the competitive tech industry. Whether you're new to Terraform or an experienced user, this guide aims to enhance your skills and advance your career.
Dies ist die top-aktuelle Version dieses Fachbuchs vom 18.05.2026 auf dem Stand Entity Framework Core 10.0.8.
Tired of the complexities of managing software on Windows? WinGet and Beyond is your guide to making it effortless. Whether you’re an IT professional, a developer, or simply a tech hobbyist, this book introduces you to Microsoft’s WinGet, a tool that’s all about simplifying software management and more.
The most comprehensive resource to get you started with Azure Bicep and help you master provisioning and managing Microsoft Azure infrastructure as code.
How to build a Data Engineering and Business Intelligence Stack using Node.js and Npm modules.
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.
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.
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.
Stop merely hosting and start mastering the cloud. Mastering Azure for Web Applications provides the high-stakes roadmap for transforming fragmented resources into a hardened, high-performing ecosystem using the Microsoft Azure Well-Architected Framework. Execute the strategic remediations that slash operational waste, eliminate security blind spots, and turn your web infrastructure into a sustainable powerhouse.
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.
Artificial Intelligence has become the new global power race. Nations are competing for data, infrastructure, and algorithmic dominance that will define the future world order.
Evolve from building static applications to architecting sophisticated cognitive systems. Master the Microsoft Semantic Kernel to bridge deterministic C# code with LLM reasoning. Build autonomous agents that plan, execute, and adapt using advanced enterprise patterns. Stop writing scripts and start engineering the future of intelligent .NET software.