Lesson 5: Background Processing Control Plane

Hands On FullStack Development Course with Infrastructure Management Product implementation ~4 min read 60 min hands-on

What We Are Building

InfraWatch AsyncOps — a production background-processing console that ships real work off the request path:

  1. Celery execution layer — Multi-queue routing, retries, worker scaling, Flower visibility

  2. Async task catalog — Metrics collection, batch processing, notifications, reports, maintenance

  3. Cron scheduler — User-defined jobs with priority and manual execution

  4. Workflow orchestration — DAG dependencies, conditional nodes, chord/chain patterns

  5. Monitoring plane — WebSocket streaming, Prometheus metrics, queue depth alerts

  6. Operator console — Datadog/Celery-style dark dashboard with live controls

Core Concept: Request Path vs Worker Path

User-facing APIs must return in milliseconds. Anything that touches disks, networks, or aggregation belongs on a worker path — queued, retried, and observed separately. Stripe and GitHub run variations of this split: HTTP acknowledges intent; workers guarantee completion.

The non-obvious detail: queue naming is a capacity contract, not decoration. A metrics.high queue with dedicated workers prevents report generation from starving health checks — the same pattern AWS SQS priority queues and Sidekiq weighted queues use.

Where This Fits

AsyncOps is the execution backbone between raw metrics and human response. Alerts assume tasks complete reliably and emit measurable latency.

Component Architecture

API — FastAPI enqueues tasks, exposes stats, and streams WebSocket updates.
Broker — Redis holds queues and result backends with isolated DB indexes.
Workers — Celery consumers per queue family with autoretry and progress metadata.
Scheduler — Croniter loop plus Celery Beat for platform housekeeping.
Orchestrator — DAG engine resolves dependencies before dispatching child tasks.
Console — React operator UI with queue pause/resume, retry/cancel, workflow triggers.

Control & Data Flow

Submit path: operator → API → PostgreSQL row → Redis queue → worker → result persist → Prometheus counter → WebSocket push → dashboard card update.

Schedule path: cron tick → scheduler service → task enqueue → same worker path.

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