Next.js Background Jobs with Trigger.dev

Background jobs for modern Next.js apps

Run reliable tasks outside the request/response cycle using Trigger.dev. Schedule jobs, process webhooks, orchestrate multi‑step workflows, and keep your UI snappy.

Capabilities

• Scheduling & CRON for recurring tasks and maintenance jobs
• Webhook handling with retries, signatures, and idempotency
• Long‑running workflows with state, steps, and backoff
• Concurrency controls and rate limits to protect providers
• Observability with runs, logs, and structured metadata

Implement in 3 steps

Use cases

• Reports & digests: Generate PDFs, analytics summaries, and email them
• Billing ops: Sync subscriptions, clean up trials, manage invoices
• Integrations: React to third‑party webhooks and fan out processing
• Data pipelines: Import/export, backfills, and enrichment tasks

Best practices

• Make handlers idempotent; use stable identifiers to prevent duplicates.
• Prefer small, composable steps with automatic retries and backoff.
• Record structured logs and custom metrics for easier incident response.

Architecture & flow

Jobs are defined as composable steps that run on a worker separate from your API routes. Each step commits progress to persistent state so that retries can resume from the last safe point. Triggers include webhooks, schedules, and user actions emitted from API routes or server actions.

• Entry: webhook/schedule/user action
• Orchestration: step graph with retries and backoff
• Side effects: external APIs, storage, emails
• State: per‑run metadata and checkpoints

Security & reliability

• Verify webhook signatures and validate payload shape with schemas.
• Use idempotency keys for all external‑facing side effects.
• Limit concurrency per tenant/provider to avoid throttling.
• Store secrets in your platform’s secret manager, not job code.

Operations & monitoring

• Emit structured logs per step with correlation IDs for cross‑service tracing.
• Track run status, duration, attempts, and failure reasons in dashboards.
• Add alerts on error rate spikes and SLA breaches for critical jobs.
• Annotate deploys/releases to correlate incidents with code changes.

Performance considerations

• Prefer small payloads; fetch large data on demand within steps.
• Batch external calls where the provider supports it.
• Use short timeouts and explicit backoff for flaky providers.
• Co‑locate workers near dependencies to reduce latency.

FAQs

Example workflows

• Import customers from a CRM, enrich records, and email a summary report
• Nightly invoice reconciliation and dunning automation
• Image/video processing with staged transformations and CDN invalidation
• Weekly analytics digest with cohort highlights and churn risks