Web Services with Examples: SOAP, REST & WCF

Table of Contents:
  1. Introduction
  2. Creating Web Services with Visual Studio
  3. ASMX Web Service
  4. IIS Web Server
  5. Web Service Client in Visual Studio
  6. Getting Data from Devices
  7. Web Service with Data from a Database
  8. Web Services in LabVIEW
  9. Python Integration
  10. MATLAB Integration

Overview

This example-driven guide teaches practical skills for designing, hosting, and consuming interoperable web services. It balances core concepts with runnable examples so you can move from protocol and architecture choices to working implementations quickly. The material contrasts SOAP and REST design styles, demonstrates Microsoft hosting frameworks and patterns, and shows how to integrate data-access, telemetry, and cross-language clients to support automation, analytics, and instrumentation workflows.

What you will learn

Through concise, hands-on examples you will gain transferable skills for building service-based systems that are maintainable and testable. Key learning outcomes include:

  • Understanding SOAP versus REST: trade-offs between formal contracts (WSDL) and message formats (XML) versus lightweight JSON APIs, and how those choices influence interoperability, versioning, and security.
  • Hands-on experience creating and hosting services using Microsoft stacks such as ASMX, WCF, and ASP.NET Web API, with practical guidance on endpoint configuration, hosting modes, and deployment considerations.
  • Design patterns for a clean data-access layer that exposes business logic through web methods while preserving separation of concerns, testability, and maintainability.
  • Techniques for reliable telemetry and device ingestion: selecting transports, serialization options, validation strategies, and error handling appropriate for IoT and instrumentation scenarios.
  • Examples of consuming services from diverse clients — desktop apps, LabVIEW, Python, and MATLAB — to enable cross-platform automation, visualization, and analytics.

Practical focus and workflows

The guide emphasizes reproducible projects: create simple services, connect database queries to endpoints, and build clients that call those endpoints. Operational topics such as transport protocols (HTTP and alternatives), data formats (XML, JSON), service descriptions, packaging reusable components, and namespace/assembly management are explained so examples remain maintainable and deployable. Each sample is intended to be executed and inspected so you learn by doing rather than just reading.

Hands-on integrations

End-to-end scenarios bridge application development and instrumentation. You’ll see patterns for exposing telemetry from devices, controlling instruments from LabVIEW, and importing measurement data into Python or MATLAB for analysis and visualization. These integrations highlight reliable data movement, input validation, retry and error-handling strategies, and cross-language testing techniques to verify end-to-end interoperability.

Who benefits most

This guide is well suited for software developers, system integrators, test engineers, and IT professionals seeking a compact, example-led introduction to web services. It provides approachable entry points for beginners and pragmatic patterns for intermediate practitioners who want to adapt examples into prototypes or production components. Teams focused on device telemetry, laboratory automation, or analytics pipelines will particularly value the cross-platform client examples and instrumentation-focused use cases.

How to use this guide effectively

Work through examples in sequence: start with foundational concepts, replicate sample projects in a controlled environment, then adapt patterns to your services and data sources. Use common debugging and testing tools (for example, Postman or curl) to exercise endpoints. For production-readiness, combine these patterns with best practices for authentication, authorization, encryption, scalability, and monitoring.

Next steps and project ideas

After completing the examples, extend a sample into a working prototype by adding authentication, pagination, caching, or a dashboard to visualize telemetry. Experiment with Python or MATLAB clients to validate cross-language workflows and build analytics pipelines that consume service data for monitoring, research, or reporting. Consider containerizing services or integrating a message broker to improve throughput and decouple processing.

Keywords

Web services, SOAP, REST, WCF, ASMX, ASP.NET Web API, HTTP, XML, JSON, WSDL, API design, data access, telemetry, IoT, instrumentation, LabVIEW, Python, MATLAB, integration, hosting, serialization, error handling, security


Author
Hans-Petter Halvorsen
Downloads
4,311
Pages
49
Size
1.95 MB

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