Strategies for Building, Scaling, and Debugging Successful APIs

Explore our comprehensive "API Development" track, featuring proven strategies, hypermedia semantics, and modern communication protocols. Additionally, learn essential techniques for building, optimizing, scaling, testing, and debugging APIs to ensure robust and high-performing implementations across various use cases.

API Development

Learn from Industry Leaders about:

  • API Design Patterns and Practices: Delve into a range of proven API patterns to enhance the stability and scalability of your API implementations. Create flexible and resilient APIs through design principles, testing methodologies, and maintenance strategies. Leverage RESTful design, asynchronous approaches, and robust error handling.
  • Hypermedia API Development: Explore RESTful Hypermedia APIs with frameworks like Spring. Learn about HAL, affordances, and JSON extensions through practical demos and source code examples to boost API discoverability and flexibility.
  • Exploring Modern API Standards: Beyond REST: – Learn about GraphQL, gRPC, MQTT, and WebSockets – their unique features, strengths, real-world applications, and when to choose each.
  • Optimizing and Scaling APIs: Scale APIs to handle high traffic load, caching, and load balancing. Explore rate limiting, API gateways, and distributed tracing for peak performance.
  • Testing and Debugging APIs: Perfect your API debugging skills with unit testing, integration testing, and end-to-end testing. Utilize tools like Postman, Swagger Inspector, and automated CI/CD pipelines to ensure API reliability and performance.

Track Speakers New York 2025

Track Speakers London 2025

Track Speakers Berlin 2025

Global Track Program

Track Program London 2025

Track Program Berlin 2025

Track Program New York 2025

Track Sessions New York 2025

Track Sessions New York 2025

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Track Sessions Berlin 2025

Track Sessions Berlin 2025

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Track Sessions London 2025

Track Sessions London 2025

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🔍 Frequently Asked Questions (FAQ)

1. What is the focus of API development?

API development focuses on building, scaling, and maintaining reliable APIs. It includes best practices for design, debugging, and performance optimization, as well as the use of modern communication protocols to ensure interoperability.

2. What are common API design patterns and practices?

Common API design patterns include RESTful design, asynchronous communication, and robust error handling. Best practices also emphasize testing, maintainability, and scalability to ensure APIs remain stable and developer-friendly over time.

3. What is hypermedia API development?

Hypermedia API development extends REST by embedding links and controls directly within responses, enabling dynamic client-server interaction. Approaches like HAL, affordances, and JSON extensions support discoverability and flexible integration.

4. What are modern API standards beyond REST?

Modern API standards beyond REST include GraphQL, gRPC, MQTT, and WebSockets. Each protocol offers unique strengths—such as GraphQL’s flexible queries or gRPC’s high performance—making them suitable for different use cases and architectures.

5. What techniques optimize and scale APIs?

Techniques for optimizing and scaling APIs include caching, load balancing, rate limiting, and distributed tracing. API gateways also play a central role in managing traffic, improving reliability, and ensuring performance at scale.

6. What tools help developers debug APIs effectively?

Developers commonly use tools like Postman, Insomnia, and cURL for API debugging. Logging, tracing, and monitoring tools further help identify and resolve issues quickly.

7. How does contract testing improve API reliability?

Contract testing ensures APIs meet agreed specifications between services. It helps prevent breaking changes and improves collaboration in microservices environments.

8. What is the difference between synchronous and asynchronous API communication?

Synchronous APIs (like REST) respond immediately to requests, while asynchronous APIs (like event-driven or message-based systems) allow decoupled, scalable communication. Choosing the right model depends on performance and reliability needs.

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