tessl install github:jeremylongshore/claude-code-plugins-plus-skills --skill coderabbit-observabilitygithub.com/jeremylongshore/claude-code-plugins-plus-skills
Set up comprehensive observability for CodeRabbit integrations with metrics, traces, and alerts. Use when implementing monitoring for CodeRabbit operations, setting up dashboards, or configuring alerting for CodeRabbit integration health. Trigger with phrases like "coderabbit monitoring", "coderabbit metrics", "coderabbit observability", "monitor coderabbit", "coderabbit alerts", "coderabbit tracing".
Review Score
88%
Validation Score
12/16
Implementation Score
88%
Activation Score
90%
Set up comprehensive observability for CodeRabbit integrations.
| Metric | Type | Description |
|---|---|---|
coderabbit_requests_total | Counter | Total API requests |
coderabbit_request_duration_seconds | Histogram | Request latency |
coderabbit_errors_total | Counter | Error count by type |
coderabbit_rate_limit_remaining | Gauge | Rate limit headroom |
import { Registry, Counter, Histogram, Gauge } from 'prom-client';
const registry = new Registry();
const requestCounter = new Counter({
name: 'coderabbit_requests_total',
help: 'Total CodeRabbit API requests',
labelNames: ['method', 'status'],
registers: [registry],
});
const requestDuration = new Histogram({
name: 'coderabbit_request_duration_seconds',
help: 'CodeRabbit request duration',
labelNames: ['method'],
buckets: [0.05, 0.1, 0.25, 0.5, 1, 2.5, 5],
registers: [registry],
});
const errorCounter = new Counter({
name: 'coderabbit_errors_total',
help: 'CodeRabbit errors by type',
labelNames: ['error_type'],
registers: [registry],
});async function instrumentedRequest<T>(
method: string,
operation: () => Promise<T>
): Promise<T> {
const timer = requestDuration.startTimer({ method });
try {
const result = await operation();
requestCounter.inc({ method, status: 'success' });
return result;
} catch (error: any) {
requestCounter.inc({ method, status: 'error' });
errorCounter.inc({ error_type: error.code || 'unknown' });
throw error;
} finally {
timer();
}
}import { trace, SpanStatusCode } from '@opentelemetry/api';
const tracer = trace.getTracer('coderabbit-client');
async function tracedCodeRabbitCall<T>(
operationName: string,
operation: () => Promise<T>
): Promise<T> {
return tracer.startActiveSpan(`coderabbit.${operationName}`, async (span) => {
try {
const result = await operation();
span.setStatus({ code: SpanStatusCode.OK });
return result;
} catch (error: any) {
span.setStatus({ code: SpanStatusCode.ERROR, message: error.message });
span.recordException(error);
throw error;
} finally {
span.end();
}
});
}import pino from 'pino';
const logger = pino({
name: 'coderabbit',
level: process.env.LOG_LEVEL || 'info',
});
function logCodeRabbitOperation(
operation: string,
data: Record<string, any>,
duration: number
) {
logger.info({
service: 'coderabbit',
operation,
duration_ms: duration,
...data,
});
}# coderabbit_alerts.yaml
groups:
- name: coderabbit_alerts
rules:
- alert: CodeRabbitHighErrorRate
expr: |
rate(coderabbit_errors_total[5m]) /
rate(coderabbit_requests_total[5m]) > 0.05
for: 5m
labels:
severity: warning
annotations:
summary: "CodeRabbit error rate > 5%"
- alert: CodeRabbitHighLatency
expr: |
histogram_quantile(0.95,
rate(coderabbit_request_duration_seconds_bucket[5m])
) > 2
for: 5m
labels:
severity: warning
annotations:
summary: "CodeRabbit P95 latency > 2s"
- alert: CodeRabbitDown
expr: up{job="coderabbit"} == 0
for: 1m
labels:
severity: critical
annotations:
summary: "CodeRabbit integration is down"{
"panels": [
{
"title": "CodeRabbit Request Rate",
"targets": [{
"expr": "rate(coderabbit_requests_total[5m])"
}]
},
{
"title": "CodeRabbit Latency P50/P95/P99",
"targets": [{
"expr": "histogram_quantile(0.5, rate(coderabbit_request_duration_seconds_bucket[5m]))"
}]
}
]
}Implement Prometheus counters, histograms, and gauges for key operations.
Integrate OpenTelemetry for end-to-end request tracing.
Set up JSON logging with consistent field names.
Define Prometheus alerting rules for error rates and latency.
| Issue | Cause | Solution |
|---|---|---|
| Missing metrics | No instrumentation | Wrap client calls |
| Trace gaps | Missing propagation | Check context headers |
| Alert storms | Wrong thresholds | Tune alert rules |
| High cardinality | Too many labels | Reduce label values |
app.get('/metrics', async (req, res) => {
res.set('Content-Type', registry.contentType);
res.send(await registry.metrics());
});For incident response, see coderabbit-incident-runbook.