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Airflow EOD DAG System

·167 words·1 min
Airflow Dag Automation Eod Batch-Processing

Overview
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The Airflow EOD DAG System is a modular framework designed to automate and monitor End-of-Day (EOD) batch operations using Apache Airflow. It replaces legacy cron-based workflows with a more flexible, observable, and maintainable orchestration layer—purpose-built for the Hugo platform.

Key Features
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  • ✅ Standardized DAG Template
    Unified structure for all EOD jobs to reduce complexity and ease onboarding.

  • 🛠️ Metadata-Driven Configuration
    DAGs are generated dynamically based on configuration files (YAML or JSON), allowing fast onboarding of new clients and jobs without code duplication.

  • ☕ Java Bridge Connector
    Integrates Java-based batch logic with Airflow via a custom bridge layer, enabling cross-platform orchestration.

  • 📈 Advanced Logging and Observability
    Includes dynamic log tagging (by client, job, date) and enhanced monitoring through Airflow’s web UI.

  • 🔁 Retry & Notification Hooks
    Built-in retry mechanisms and failure alerts (e.g., via Slack/email) to ensure reliability.

Architecture
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+------------------+       +--------------------+       +--------------------+
| Batch Config File| ----> | DAG Generator Logic| ----> | Airflow DAG Objects|
+------------------+       +--------------------+       +--------------------+
                                                \       
                                                 \--> Task Executor (Python/Java)