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Workflows / States

Map Workflows

Map states bring scalable iteration to Step Functions workflows, allowing you to process arrays of data by running the same set of steps for each item. This collection of workflows highlights how Map states enable high-throughput processing, whether you are handling batches of transactions, transforming datasets, or orchestrating actions across large input lists. You will see patterns for controlling concurrency, isolating failures to individual items, and aggregating results into a unified output. From simple loops to complex per-item pipelines, these examples demonstrate how Map states turn workflows into efficient, data-driven processing engines.

12 workflows

Bulk Booking Processing

Freight Booking

This workflow processes an array of freight bookings concurrently using a Map state with a maximum concurrency of 3. Each booking is independently subjected to carrier capacity checks and hazmat screening in parallel branches before being individually confirmed or cancelled.

Bulk Document Ingestion

RAG Knowledge Base

Batch ingestion of multiple documents concurrently using a Map state. Supports scheduled full-corpus re-ingestion and large document library imports.

Bulk Model Retraining

Model Training Pipeline

Batch retraining of multiple models concurrently using a Map state. Supports scheduled monthly retraining runs across all production models.

Bulk Content Moderation

Content Moderation

Batch content moderation using a Map state with MaxConcurrency 3. Supports large-scale content queue processing and retroactive moderation sweeps.

Bulk Recall Processing

Vehicle Recall Management

This workflow processes a batch of affected vehicles concurrently using a Map state with a maximum concurrency of 3. For each vehicle, owner notification and parts ordering are run simultaneously in a Parallel state before scheduling the inspection appointment.

Bulk Meter Processing

Smart Meter Billing

Processes an array of smart meter readings concurrently using a Map state. Each reading is independently validated, usage-calculated, and anomaly-checked before bill generation or flagging for manual review.

Bulk Content Ingest

Content Publishing

Processes a batch of content items concurrently using a Map state (up to 5 at a time). Each item is independently validated, moderation-screened, and license-checked in parallel branches before being queued for transcoding or rejected.

Bulk Outage Processing

Network Outage Management

Processes a batch of active outage events concurrently using a Map state with a maximum concurrency of 3. Each outage is independently validated, root-cause diagnosed, and impact-assessed before field dispatch and rerouting are initiated.

Bulk Sample Processing

Clinical Trial Data

Processes a batch of biological samples concurrently using a Map state, with a maximum concurrency of 3. Each sample in the batch is independently validated and screened for eligibility and biomarker anomalies in parallel branches before being accepted or rejected.