Spring Boot structured event monitoring

Test the integration

Send and verify events with Spring Boot structured event monitoring

Use Spring Boot structured event monitoring where your app knows the final result. Collect only the fields you need, then verify a test event before building charts.

1
Choose the outcome
Spring API reliability
2
Define the contract
route_template, method, status_code, and latency_ms
3
Log the final result
Emit after the response status is known and categorize handled exceptions consistently.
4
Check the stored event
Exercise a known fixture, then inspect api_request_completed for one correctly typed terminal row.

Before you start

A server-side TELEMETRY_API_KEY
A configured HTTP client with bounded retries
Normalized Spring route patterns

Delivery setup

Install and initialize server-side

Use one shared Java HTTP client with a server-side key, bounded timeouts, and a small allowlisted Log API wrapper. Keep ingestion credentials out of browser bundles, client-visible environment variables, source control, logs, and exception messages.

1Create one reusable server-side client. Set its timeout and retry limit.
2Log an event when the operation succeeds, fails, retries, or times out.
3Send test events with known results and inspect the stored rows before enabling an alert.

Snippet

Start with one structured event

Add this shape where the workflow completes, fails, or retries. Then build the dashboard from real fields.

spring-boot

Spring Boot structured event monitoring event

java

telemetry.log("api_request_completed", Map.of(
    "route_template", bestMatchingPattern(request),
    "method", request.getMethod(),
    "status_code", response.getStatus(),
    "status", response.getStatus() >= 500 ? "failed" : "success",
    "latency_ms", elapsedMillis,
    "trace_id", currentTraceId(),
    "release", applicationRelease
));

Event schema

route_template, method, status_code, and latency_ms

status, error_type, trace_id, and release

service, environment, and safe account identifiers

Check your setup

Checkpoint 1

Emit after the response status is known and categorize handled exceptions consistently.

Checkpoint 2

Do not serialize request bodies, security contexts, or exception messages into events.

Checkpoint 3

Use the same event fields for controller advice and normal interceptor completion.

Verification

Prove the event arrived

Run this after exercising known success and failure cases. Replace the fallback table name if your final event contract differs from the snippet.

spring-boot-verification

Spring Boot structured event monitoring verification query

sql

SELECT *
FROM api_request_completed
ORDER BY timestamp_utc DESC
LIMIT 20;

Confirm one terminal row per logical outcome, with the expected status, identifiers, units, and UTC time.

Inspect the inferred schema and verify that retries do not change field types or generate a new logical event ID.

Search the stored fields for credentials, raw payloads, prompts, private content, and unbounded error messages.

Exercise a provider timeout, ingestion rejection, and process shutdown before treating the dashboard as complete.

Implementation references

Review the event contract, data-safety guidance, and upstream primary documentation before enabling a new production path.

Structured logging guide API SLO SQL Spring Boot logging

Where to log

Keep the outcome event small and recoverable

This pattern provides

Record the outcome as an event you can query with SQL.
Stable fields for dashboards, alerts, and cross-event correlation.
Test events for checking success, failure, retries, and timeouts.

This pattern does not provide

An OTLP exporter, automatic collection pipeline, or replacement for detailed traces and diagnostic logs.
Exactly-once delivery merely because the payload contains an event ID.
Permission to collect raw provider payloads, user content, credentials, or regulated data.

Delivery and idempotency Batching and shutdown Troubleshoot ingestion

Example event schemas

Check what each event records, when to send it, and which field types it needs. Review the example payload and privacy checklist before using it in production.

API reliability10 fields