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Batch Processing Pipeline

Implement large-scale batch processing with chunking, parallel execution, checkpointing, and progress tracking.

Complexity: Complex | Duration: 30m+ | Category: Devops

Tags: automation batch-processing parallel etl

Workflow Diagram​

Steps​

Step 1: Input preparation​

Agent: data

engineer - Load batch data, validate format

Step 2: Chunking​

Agent: data

engineer - Split data into chunks (1000-10000 records)

Step 3: Parallel execution​

Agent: backend

architect - Process chunks in parallel (threads/processes)

Step 4: Processing logic​

Agent: backend

architect - Apply transformations, business rules

Step 5: Error handling​

Agent: backend

architect - Isolate failed records, continue processing

Step 6: Checkpointing​

Agent: data

engineer - Save progress after each chunk

Step 7: Aggregation​

Agent: data

engineer - Aggregate results from all chunks

Step 8: Progress tracking​

Agent: automation

specialist - Track processed/failed/remaining records

Usage​

To execute this workflow:

/workflow devops/batch-processing-pipeline.workflow

See other workflows in this category for related automation patterns.