PlatformVER_4.02

Custom Workflow Orchestration Platform

PythonDjangoCeleryPostgreSQLRedis

System Architecture

Logic Flow & Infrastructure Analysis

01_The_Problem

Certain scheduling patterns didn't fit Airflow's DAG model cleanly.

02_Architecture_Solution

Complemented Airflow with a purpose-built orchestrator handling patterns Airflow didn't fit — dynamic task graphs, tenant-aware scheduling, and rich domain-specific retry semantics. Web UI for operations teams, Celery workers for execution, and Postgres for state.

Execution Metrics

Throughput / Volume

Multi-tenant scheduled workloads

Performance / Latency

Sub-minute task dispatch