A walkthrough of why Temporal was chosen as the orchestration layer for a PII-compliant complaint ingestion pipeline in a regulated enterprise environment. The post contrasts a naive approach (manual Redis state, custom state machines, bespoke UI) against Temporal's built-in Durable Execution, retry policies, and event history. It covers functional and non-functional requirements (resilience, consistency, availability, observability), outlines the pipeline steps from CSV ingestion through PII redaction, ML classification, embedding, and vector storage, and includes a skeleton Python Workflow definition mapping each requirement to a Temporal Activity.
Table of contents
Objective #Functional requirements #Non-functional requirements: #Pipeline steps: #Naive approach #Why Temporal? #Recommendation #A brief architecture overview #Mapping requirements to a Workflow #A forward pointer #112 Impressions