Execute Juicebox production deployment checklist.
Use when preparing for production launch, validating deployment readiness,
or performing pre-launch reviews.
Trigger with phrases like "juicebox production", "deploy juicebox prod",
"juicebox launch checklist", "juicebox go-live".
Juicebox provides AI-powered people search and analysis, enabling dataset creation, candidate discovery, and structured analysis across professional profiles. A production integration queries datasets, retrieves analysis results, and powers talent intelligence workflows. Failures mean missed candidates, stale analysis data, or quota exhaustion that blocks time-sensitive searches.
Authentication & Secrets
JUICEBOX_API_KEY stored in secrets manager (not config files)
API key scoped to production workspace only
Key rotation schedule documented (90-day cycle)
Separate credentials for dev/staging/prod environments
Candidate data access restricted to authorized roles
API Integration
Production base URL configured (https://api.juicebox.ai/v1)
Rate limiting configured per plan tier
Dataset creation and query endpoints tested end-to-end
Analysis result pagination implemented for large datasets
Search query optimization validated (precision vs recall tradeoffs)
Bulk analysis requests batched to avoid rate limits
Result caching configured for repeated queries
Error Handling & Resilience
Circuit breaker configured for Juicebox API outages
Retry with exponential backoff for 429/5xx responses
Candidate data encrypted at rest in downstream storage
GDPR/CCPA retention policy enforced on stored profiles
Empty result sets handled gracefully (no silent failures)
Quota exhaustion detected before critical searches fail
Monitoring & Alerting
API latency tracked per endpoint (search, analysis, datasets)
Error rate alerts set (threshold: >5% over 5 minutes)
Quota usage monitored with alert at 80% consumption
Analysis completion rate tracked for reliability metrics