Let's be aware of a few disadvantages of this framework:
- May not be suitable for large, enterprise-based implementations
- Low server processing capabilities, which forces clients to handle the workloads
- May incur a steep learning curve
Drawbacks of Gin-Gonic
by Pethuru Raj, Harihara Subramanian
Hands-On RESTful API Design Patterns and Best Practices
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Introduction to the Basics of RESTful Architecture
- Technical requirements
- Evolution of web technologies
- Learning about Web 3.0
- Learning about web service architecture
- Discussing the web API
- Learning about service-oriented architecture
- Learning about resource-oriented architecture
- Beginning with REST
- REST architecture style constraints
- Layered systems
- RESTful service mandates
- Architectural goals of REST
- Summary
- Design Strategy, Guidelines, and Best Practices
- Technical requirements
- Learning about REST API and its importance
- Goals of RESTful API design
- API designer roles and responsibilities 
- API design best practices
- API design principles
- RESTful API design rules
- Summary
- Further reading
- Essential RESTful API Patterns
- Advanced RESTful API Patterns
- Microservice API Gateways
- Technical requirements
- About microservice architecture
- The prominent infrastructure modules in microservice-centric applications
- About API gateway solutions
- API gateways for microservice-centric applications
- The issues with microservice API gateways
- Security features of API gateways
- Prominent API gateway solutions
- Service mesh versus API gateway
- Summary
- RESTful Services API Testing and Security
- An overview of software testing 
- RESTful APIs and testing
- Basics of API testing
- Understanding API testing approaches
- API testing types
- REST API security vulnerabilities
- Causes of vulnerabilities
- Security tests
- Back to API testing
- CQRS
- Summary
- Further reading
- RESTful Service Composition for Smart Applications
- Technical requirements
- The Representational State Transfer service paradigm
- Service orchestration and choreography
- Data management 
- Summary
- RESTful API Design Tips
- A More In-depth View of the RESTful Services Paradigm
- Technical requirements
- Tending toward the software-defined and software-driven world
- Software-enabled clouds for the digital intelligence era
- The IoT applications and services
- Cloud-enabled applications
- Cloud-native applications
- Mobile, handheld, and wearable applications
- Transactional, operational, and analytical applications
- Knowledge visualization applications
- Social applications 
- Scientific and technical applications 
- Centralized and distributed applications
- Decentralized and intelligent applications with blockchain technology 
- Composite and multi-container applications 
- Event-driven applications 
- High-quality applications
- Resilient applications 
- Software-enabled clouds for the digital intelligence era
- The REST paradigm for application modernization and integration
- SOAP versus REST
- Best practices for REST-based microservices
- Summary
- Further reading
- Frameworks, Standard Languages, and Toolkits
- Technical requirements
- Core features of a framework
- Spring Boot
- Beginning about Light 4j
- Spark Framework
- Dropwizard
- Understanding Go framework for the RESTful API
- Python RESTful API frameworks
- Frameworks – a table of reference 
- Summary
- Further reading
- Legacy Modernization to Microservices-Centric Apps
- Other Books You May Enjoy
Drawbacks of Gin-Gonic
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