“A queued job runs exactly once.”
Not quite.Most practical systems provide at-least-once delivery, so job handlers must tolerate duplicates.
Architecture & Systems
Scheduled Jobs and Worker Queues
Background workers execute heavy or recurring tasks such as nightly risk, calibration, and data ingestion.
Mental model
Queues separate submitted work from execution so recurring and heavy jobs can run reliably.
Scheduled jobs trigger recurring tasks (e.g., overnight risk runs, curve rebuilding, model calibration) at defined times.
Worker queues decouple job submission from execution: tasks are enqueued and processed asynchronously by worker processes.
Explore the mechanism
How should work be retried, ordered, and made idempotent when execution is separated from submission?
Scheduled jobs and worker queues
Separate submission from execution.
Workers
2
Running / capacity
0 / 2
Enqueue
Tick simulates a scheduler cycle: finish one job, start queued jobs up to worker capacity.
Data ingestionQUEUED
run_id: run_a1
Model calibrationQUEUED
run_id: run_a1
Nightly riskQUEUED
run_id: run_a1
Interpretation
- Queues prevent heavy work from blocking API requests.
- Workers scale execution independently of submission.
- run_id is the bridge between jobs, logs, artefacts, and reproducibility.
CONSEQUENCE PROBE
What happens when work arrives faster than workers complete it?
8 jobs/min→10 jobs/min capacity→queue clears→latency stable
System keeps upSpare service capacity absorbs ordinary arrival variation.
UNDERSTAND
What to notice
Each job carries metadata such as run_id and configuration so results and logs can be traced and reproduced.
Where it appears
- nightly risk and valuation batches
- market-data ingestion
- asynchronous calibration and report generation
Where the intuition breaks
What this view leaves out
- A queue improves decoupling but introduces duplicate delivery, retries, ordering, backpressure, and observability problems.
Common mistakes
Where this concept sits
Follow the strongest prerequisites, applications, extensions, and contrasts.
Connections for Scheduled Jobs and Worker Queues
Scheduled Jobs and Worker QueuesYOU ARE HERE
Supported byPerformance Profiling and BottlenecksProfiling helps identify throughput and queue bottlenecks in batch and worker-based pipelines.
Supported byStructured Logging and Run IDsWorker execution needs structured logs and run identifiers to trace asynchronous jobs across retries and queues.
ImplementsRaw vs Curated Data and TransformationsScheduled and queued workers are a common operational mechanism for running ingestion and transformation pipelines.
Supported by · Performance Profiling and Bottlenecks
Profiling helps identify throughput and queue bottlenecks in batch and worker-based pipelines.
Explore concept →