Going From Unreliable System To A Highly Available System - with Airflow

Our experts discovered that manual orchestration was the root cause of application breakdown and, therefore, decided to implement automatic data orchestration. 

• We selected Apache Airflow as the data orchestration tool due to its flexibility and customizability.
• Extracted the main application from the existing server to avoid replication.
• We reduce the likelihood of failures by reconfiguring jobs to run in parallel instead of a sequence.
• Addressed the challenges of managing growing DAGs (directed acyclic graph) by transitioning to Astronomer, which simplified Airflow cluster management.
• Leveraging Astronomer's centralized UI to monitor, we controlled multiple Airflow deployments efficiently.
• Gained insights into critical metrics such as DAG statuses, logs, and cluster health through Astronomer’s interface.
• We integrated Okta for user authentication, enabling secure and streamlined cluster access.
• Implemented a CI/CD pipeline for automated code deployment from development to production, enhancing feature delivery speed and application reliability.
• Hosted the entire setup on AWS cloud, ensuring scalability, easy deployment, and robust maintenance.