Microservices architectures offer scalability and flexibility, but they also require effective monitoring techniques, such as distributed tracing, to ensure optimal performance.
Distributed tracing allows a detailed view of service performance across a microservices architecture, helping to troubleshoot latency and other issues effectively.
Tools like Zipkin and Jaeger streamline distributed tracing, providing insights into request flows and enabling users to pinpoint bottlenecks in microservices.
Setting up Zipkin in a Spring Boot environment allows developers to capture traces in real time, facilitating better analysis of inter-service communications.
Collection
[
|
...
]