Spring / Spring Retry Interview Questions
How can you monitor and observe Spring Retry behavior in production?
Observing retry behavior in production is essential for detecting systemic issues with downstream dependencies. Spring Retry provides hooks through RetryListener, and for Spring Boot applications, you can wire this into Micrometer for metrics or into logging frameworks for audit trails.
Approach 1 — Logging RetryListener:
@Component
public class RetryLoggingListener implements RetryListener {
private static final Logger log = LoggerFactory.getLogger(RetryLoggingListener.class);
@Override
public <T, E extends Throwable> void onError(RetryContext context,
RetryCallback<T, E> callback, Throwable throwable) {
log.warn("Retry attempt {} failed: {}",
context.getRetryCount(), throwable.getMessage());
}
@Override
public <T, E extends Throwable> void close(RetryContext context,
RetryCallback<T, E> callback, Throwable throwable) {
if (throwable != null) {
log.error("All retry attempts exhausted after {} tries",
context.getRetryCount(), throwable);
}
}
}Approach 2 — Micrometer metrics counter:
@Override
public <T, E extends Throwable> void onError(RetryContext ctx, ...) {
meterRegistry.counter("app.retry.attempt",
"method", ctx.getAttribute("context.name").toString()).increment();
}Register the listener as a bean and it will be auto-detected by Spring Retry when annotation-based retry is enabled. For programmatic retry, pass it explicitly to retryTemplate.setListeners(). Dashboard alerts on high retry rates are an early indicator of upstream service degradation.
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