Queues and background jobs

Operate asynchronous work with clear ownership, retries, idempotency, observability, and support paths.

Queues decouple work so systems can survive spikes and dependency failures. Assistance helps teams design and operate queues for background jobs, integrations, data pipelines, AI processing, notifications, and event fan-out.

What Assistance operates#

Within scope, Assistance can operate queue infrastructure, worker deployment patterns, retry and dead-letter policies, dashboards, alerts, runbooks, replay procedures, capacity review, and incident triage.

What the customer owns#

The customer owns job semantics, payload meaning, business side effects, data classification, approval requirements for replay, and customer communications when delayed work affects users.

Core guides#

Operational baseline#

Area	Requirement
Idempotency	Retried jobs must not duplicate irreversible side effects.
Retries	Retryable and terminal errors are classified with bounded attempts.
Dead letters	Failed messages have retention, redaction, replay, and approval rules.
Backpressure	Producers and consumers have limits before lag becomes an outage.
Observability	Queue depth, oldest age, throughput, failures, retries, and handler latency are measured.

Onboarding inputs#

Provide workflow owners, payload schemas, expected volume, ordering needs, retry rules, side effects, downstream dependencies, SLOs, alert channels, and replay approval contacts.