Practical Implementation of Tracing, Debugging and Monitoring using Correlation ID and xverbose in a Spring Boot 3, Spring Cloud API Gateway and Angular 17 in Microservice Environment
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Practical Implementation of Tracing, Debugging and Monitoring using Correlation ID and xverbose in a Spring Boot 3, Spring Cloud API Gateway and Angular 17 in Microservice Environment

About the Book

In today’s fast-paced and distributed computing landscape, microservice architectures have become the backbone of enterprise systems. With the rise of large-scale deployments and multiple interconnected services, tracking a single user request across numerous microservices can quickly become a nightmare. This book addresses a fundamental yet often overlooked challenge in distributed systems: traceability and troubleshooting through the implementation of a correlation_id.

We begin by understanding what correlation_id is and why it’s essential for observability and debugging in a microservice-based system. The correlation_id serves as a unique identifier that allows requests to be traced seamlessly across all services, logs, and monitoring tools. The book will show how this simple but powerful concept can help teams navigate millions of log entries efficiently, offering a "needle in the haystack" for resolving errors or latency issues.

To ensure the book delivers practical and applicable knowledge, we take a real-world production-grade approach. You will learn to implement correlation_id in a Spring Boot microservice ecosystem, propagating it through API calls to downstream services.

In addition to correlation_id, we introduce the xverbose debugging tool—a lightweight yet highly effective mechanism for troubleshooting in complex environments. When enabled through a request parameter, xverbose provides granular debugging messages across services. You will see how to:

·      Capture and propagate debug messages centrally.

·      Stream these messages as part of the response for targeted insights.

·      Identify latency and potential bottlenecks at each service level, helping teams pinpoint issues faster.

Let’s build microservices that are easier to debug, monitor, and maintain in the real world.

About the Author

Binit Datta
Binit Datta

Binit Datta has over thirty-one years of in-depth experience in business computing. He is an Enterprise Architect at home with both business and technology professionals using the latest and most remarkable cutting-edge technologies. He draws heavily growing up in the 90s, where lack of job divisions helped him understand the depth of business requirements and then design, build, and implement systems all by himself and his colleagues. His decades old experience directly interacting with end customers and stakeholders of all stripes, eliminates the disadvantage of only knowing and focusing on technology alone without knowing the relevance of their application.

Binit has spent the last ten years architecting and leading technology teams building modern high traffic eCommerce websites and scalable enterprise APIs / applications for multiple fortune 50 companies in AWS and Azure Cloud environments. Continuing from his multiple comfort zones, he spearheaded in User Interface Feasibility, Usability and Architecture, and Microservices based REST API Architecture (CRUD and CQRS), Security-related discussions, Event-Driven Streaming Architectures, among others. While his AWS Cloud Certifications (AWS Solution Architect Professional) prove his Cloud credibility’s, he has led multiple real-life Cloud Migration Programs to enrich his Cloud experience.

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