Migration to Apache Airflow for Workflow Orchestration

Led the migration from a custom middleware to Apache Airflow, resolving performance bottlenecks, optimizing workflows, and enhancing system reliability and scalability.

Context

The company was using a custom-built middleware solution to orchestrate its workflows, which had frequent performance issues and limited the scalability of the system.

Project Objectives

• Replace the custom middleware solution with Apache Airflow to improve system performance and reliability.
• Optimize existing workflows and eliminate recurring performance issues.
• Leverage Airflow's robust scheduling and monitoring capabilities.

Implemented Solution

I led the full migration to the Apache Airflow platform, redesigning workflows and optimizing code to take full advantage of its orchestration capabilities.

Key Steps

• In-depth analysis of existing middleware architecture and identification of bottlenecks.
• Design and implementation of new workflows in Apache Airflow.
• Optimization of code and configurations to improve performance and efficiency.
• Implementation of advanced scheduling and monitoring mechanisms using Airflow features.
• Extensive testing to ensure smooth transition and stability of the new system.
• Creation of detailed documentation for management and maintenance of the new infrastructure.

Skills Used

Apache Airflow implementation, workflow orchestration, performance optimization, debugging, strategic planning, problem solving.

Outcomes

• 100% reduction in middleware-related performance issues.
• Improved system scalability and reliability, ensuring smoother operations.
• Simplified maintenance processes, with a 90% reduction in manual interventions.