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deepgram-prod-checklist Execute Deepgram production deployment checklist.
Use when preparing for production launch, auditing production readiness,
or verifying deployment configurations.
Trigger: "deepgram production", "deploy deepgram", "deepgram prod checklist",
"deepgram go-live", "production ready deepgram".
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name deepgram-prod-checklist description Execute Deepgram production deployment checklist.
Use when preparing for production launch, auditing production readiness,
or verifying deployment configurations.
Trigger: "deepgram production", "deploy deepgram", "deepgram prod checklist",
"deepgram go-live", "production ready deepgram".
allowed-tools Read, Write, Edit, Grep, Bash(curl:*) version 1.0.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> compatible-with claude-code, codex, openclaw tags ["saas","deepgram","deployment","production"]
Deepgram Production Checklist
Overview
Comprehensive go-live checklist for Deepgram integrations. Covers singleton client, health checks, Prometheus metrics, alert rules, error handling, and a phased go-live timeline.
Production Readiness Matrix
Category Item Status Auth Production API key with scoped permissions [ ] Auth Key stored in secret manager (not env file) [ ] Auth Key rotation schedule (90-day) configured [ ] Auth Fallback key provisioned and tested [ ] Resilience Retry with exponential backoff on 429/5xx [ ] Resilience Circuit breaker for cascade failure prevention [ ] Resilience Request timeout set (30s pre-recorded, 10s TTS) [ ] Resilience Graceful degradation when API unavailable [ ] Performance Singleton client (not creating per-request) [ ] Performance Concurrency limited (50-80% of plan limit) [ ] Performance Audio preprocessed (16kHz mono for best results) [ ] Performance Large files use callback URL (async) [ ] Monitoring Health check endpoint testing Deepgram API [ ] Monitoring Prometheus metrics: latency, error rate, usage [ ] Monitoring Alerts: error rate >5%, latency >10s, circuit open [ ] Security PII redaction enabled if handling sensitive audio [ ] Security Audio URLs validated (HTTPS, no private IPs)
Security Audit logging on all operations [ ]
Instructions
Step 1: Production Singleton Client import { createClient, DeepgramClient } from '@deepgram/sdk' ;
class ProductionDeepgram {
private static client : DeepgramClient | null = null ;
static getClient (): DeepgramClient {
if (!this .client ) {
const key = process.env .DEEPGRAM_API_KEY ;
if (!key) throw new Error ('DEEPGRAM_API_KEY required for production' );
this .client = createClient (key);
}
return this .client ;
}
static reset (this .client = null ; }
}
Step 2: Health Check Endpoint import express from 'express' ;
import { createClient } from '@deepgram/sdk' ;
const app = express ();
const deepgram = createClient (process.env .DEEPGRAM_API_KEY !);
app.get ('/health' , async (req, res) => {
const start = Date .now ();
try {
const { error } = await deepgram.manage .getProjects ();
const latency = Date .now () - start;
if (error) {
return res.status (503 ).json ({
status : 'unhealthy' ,
deepgram : 'error' ,
error : error.message ,
latency_ms : latency,
});
}
res.json ({
status : 'healthy' ,
deepgram : 'connected' ,
latency_ms : latency,
timestamp : new Date ().toISOString (),
});
} catch (err : any ) {
res.status (503 ).json ({
status : 'unhealthy' ,
deepgram : 'unreachable' ,
error : err.message ,
latency_ms : Date .now () - start,
});
}
});
Step 3: Prometheus Metrics import { Counter , Histogram , Gauge , Registry } from 'prom-client' ;
const registry = new Registry ();
const transcriptionRequests = new Counter ({
name : 'deepgram_requests_total' ,
help : 'Total Deepgram API requests' ,
labelNames : ['method' , 'model' , 'status' ],
registers : [registry],
});
const transcriptionLatency = new Histogram ({
name : 'deepgram_latency_seconds' ,
help : 'Deepgram API request latency' ,
labelNames : ['method' , 'model' ],
buckets : [0.5 , 1 , 2 , 5 , 10 , 30 ],
registers : [registry],
});
const audioProcessed = new Counter ({
name : 'deepgram_audio_seconds_total' ,
help : 'Total audio seconds processed' ,
labelNames : ['model' ],
registers : [registry],
});
const activeConnections = new Gauge ({
name : 'deepgram_active_connections' ,
help : 'Active WebSocket connections' ,
registers : [registry],
});
async function instrumentedTranscribe (url : string , model = 'nova-3' const timer = transcriptionLatency.startTimer ({ method : 'prerecorded' , model });
try {
const { result, error } = await deepgram.listen .prerecorded .transcribeUrl (
{ url }, { model, smart_format : true }
);
timer ();
transcriptionRequests.inc ({ method : 'prerecorded' , model, status : error ? 'error' : 'ok' });
if (result?.metadata ?.duration ) {
audioProcessed.inc ({ model }, result.metadata .duration );
}
if (error) throw error;
return result;
} catch (err) {
timer ();
transcriptionRequests.inc ({ method : 'prerecorded' , model, status : 'error' });
throw err;
}
}
app.get ('/metrics' , async (req, res) => {
res.set ('Content-Type' , registry.contentType );
res.send (await registry.metrics ());
});
Step 4: Alert Rules (Prometheus/AlertManager) groups:
- name: deepgram
rules:
- alert: DeepgramHighErrorRate
expr: rate(deepgram_requests_total{status="error"}[5m]) / rate(deepgram_requests_total[5m]) > 0.05
for: 5m
labels:
severity: critical
annotations:
summary: "Deepgram error rate > 5%"
- alert: DeepgramHighLatency
expr: histogram_quantile(0.95, rate(deepgram_latency_seconds_bucket[5m])) > 10
for: 5m
labels:
severity: warning
annotations:
summary: "Deepgram P95 latency > 10s"
- alert: DeepgramHealthCheckFailed
expr: up{job="deepgram-service"} == 0
for: 2m
labels:
severity: critical
annotations:
summary: "Deepgram health check failed for 2+ minutes"
Step 5: Error Handling Wrapper async function safeTranscribe (url : string , options : Record <string , any > = {}const timeout = options.timeout ?? 30000 ;
const controller = new AbortController ();
const timeoutId = setTimeout (() => controller.abort (), timeout);
try {
const result = await Promise .race ([
instrumentedTranscribe (url, options.model ?? 'nova-3' ),
new Promise ((_, reject ) =>
setTimeout (() => reject (new Error ('Transcription timeout' )), timeout)
),
]);
clearTimeout (timeoutId);
return result;
} catch (err : any ) {
clearTimeout (timeoutId);
console .error (JSON .stringify ({
level : 'error' ,
service : 'deepgram' ,
message : err.message ,
url : url.substring (0 , 100 ),
timestamp : new Date ().toISOString (),
}));
throw err;
}
}
Step 6: Go-Live Timeline Phase When Actions D-7 1 week before Load test at 2x expected volume, security review D-3 3 days before Smoke test with production key, verify all alerts fire D-1 Day before Confirm on-call rotation, validate dashboards D-0 Launch Shadow mode (10% traffic), monitoring open D+1 Day after Review error rate, latency, verify no anomalies D+7 1 week after Full traffic, tune alert thresholds based on baselines
Output
Singleton client with reset capability
Health check endpoint with latency reporting
Prometheus metrics (requests, latency, audio, connections)
AlertManager rules for error rate, latency, availability
Timeout-safe transcription wrapper
Phased go-live timeline
Error Handling Issue Cause Solution Health check 503 API key expired Rotate key, check secret manager Metrics not scraped Wrong port/path Verify Prometheus target config Alert storms Thresholds too tight Add for: duration, tune values Timeout on large files Sync mode too slow Switch to callback URL pattern
Resources 