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Modern API Development with Spring and Spring Boot

You're reading from   Modern API Development with Spring and Spring Boot Design highly scalable and maintainable APIs with REST, gRPC, GraphQL, and the reactive paradigm

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Product type Paperback
Published in Jun 2021
Publisher Packt
ISBN-13 9781800562479
Length 582 pages
Edition 1st Edition
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Author (1):
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Sourabh Sharma Sourabh Sharma
Author Profile Icon Sourabh Sharma
Sourabh Sharma
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Table of Contents (21) Chapters Close

Preface 1. Section 1: RESTful Web Services
2. Chapter 1: RESTful Web Service Fundamentals FREE CHAPTER 3. Chapter 2: Spring Concepts and REST APIs 4. Chapter 3: API Specifications and Implementation 5. Chapter 4: Writing Business Logic for APIs 6. Chapter 5: Asynchronous API Design 7. Section 2: Security, UI, Testing, and Deployment
8. Chapter 6: Security (Authorization and Authentication) 9. Chapter 7: Designing a User Interface 10. Chapter 8: Testing APIs 11. Chapter 9: Deployment of Web Services 12. Section 3: gRPC, Logging, and Monitoring
13. Chapter 10: gRPC Fundamentals 14. Chapter 11: gRPC-based API Development and Testing 15. Chapter 12: Logging and Tracing 16. Section 4: GraphQL
17. Chapter 13: GraphQL Fundamentals 18. Chapter 14: GraphQL API Development and Testing 19. Assessments 20. Other Books You May Enjoy

Chapter 12 – Logging and Tracing

  1. Trace IDs and span IDs are created when the distributed transaction is initiated. A trace ID is generated for the main API call by the receiving service using Spring Cloud Sleuth. A trace ID is generated only once for each distributed call. Span IDs are generated by all the services participating in the distributed transaction. A trace ID is a correlation ID that will be common across the service for a call that requires a distributed transaction. Each service will have its own span ID for each of the API calls.
  2. Yes, a broker such as Kafka, RabbitMQ, or Reddis allows robust persistence of logs and removes the risk of losing log data in unavoidable circumstances. It also performs better and can handle sudden spikes of data.
  3. A tracer such as Spring Cloud Sleuth (which performs instrumentation) does two jobs – (1) records the time and metadata of the call being performed, and (2) propagates the trace IDs to other services participating...
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