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The Complete .Net10, Developers Guide: From Fundamental To Expert Techniques

by Thomas D. Wilmot
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Current price ₹2,194.00
Original price ₹2,485.00
Original price ₹2,485.00
Original price ₹2,485.00
(-12%)
₹2,194.00
Current price ₹2,194.00

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Book cover type: Paperback
  • ISBN13: 9798246356876
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 368
  • Original Price: GBP 19.72
  • Language: English
  • Edition: N/A
  • Item Weight: 635 grams
  • BISAC Subject(s): Software Development & Engineering / General

.NET 10 represents a mature, long-term support evolution of the .NET ecosystem engineered for modern, cloud-native, high-performance, and cross-platform software development. With significant runtime optimizations, improved diagnostics, Native AOT maturity, modern C# language enhancements, and a refined tooling experience, .NET 10 is designed for developers building real-world systems that must scale, remain secure, and operate reliably in production.

This book approaches .NET 10 not as a collection of APIs, but as a complete engineering platform. You'll learn how the runtime, C# language features, ASP.NET Core, tooling, hosting models, and deployment strategies work together to support modern software architecture. From APIs and background services to cloud deployments and observability, this guide reflects how .NET is actually used in professional environments today.

This guide is written from the perspective of real production experience, not tutorial-level experimentation. It focuses on the decisions professional developers face every day: architectural tradeoffs, performance implications, deployment risks, observability gaps, security concerns, and long-term maintainability.

The Complete .NET 10 Developer's Guide is a comprehensive, end-to-end resource that takes you from core .NET fundamentals to advanced, production-ready engineering techniques.

What's Inside

Inside this book, you'll learn:

  • The structure of the .NET 10 runtime, SDK, and tooling ecosystem

  • Modern C# language features, including records, pattern matching, async/await, and performance-oriented types

  • The Generic Host model, dependency injection, configuration, logging, and background services

  • ASP.NET Core fundamentals, middleware, routing, controllers, and Minimal APIs

  • Designing robust REST APIs with versioning, validation, caching, rate limiting, and OpenAPI documentation

  • Data access using EF Core, performance tuning, transactions, concurrency, and when to use Dapper or raw SQL

  • Client and UI options including Blazor, WebAssembly, .NET MAUI, and cross-platform strategies

  • Clean architecture, modular design, event-driven systems, and domain modeling principles

  • Unit testing, integration testing, contract testing, and CI/CD pipeline design

  • Performance profiling, garbage collection, diagnostics, metrics, tracing, and OpenTelemetry

  • Authentication, authorization, secrets management, API hardening, and security best practices

  • Docker, Kubernetes, cloud publishing patterns, and production operations

  • Deployment strategies, rollbacks, observability, and operational readiness

Every topic is presented with clarity, practical examples, and a focus on real engineering outcomes.

This book is written for developers who want to move beyond surface-level tutorials and build serious .NET applications.

It is ideal for:

  • Backend and full-stack developers working with C# and .NET

  • Software engineers building APIs, microservices, or cloud-native systems

  • Developers upgrading to .NET 10 or modernizing legacy .NET applications

  • Technical leads and architects responsible for long-term system quality

  • Professionals preparing for enterprise, startup, or production-scale development

Basic familiarity with C# or programming concepts is helpful, but the book is structured to support motivated learners as well as experienced developers seeking deeper mastery.

Learning .NET the wrong way costs time debugging production issues, fighting fragile deployments, chasing performance problems, or refactoring poorly structured code months later.

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