Defense & Aerospace — Data Pipeline Performance Monitoring and Alerting System

Overview

The purpose of this DAG is to implement a robust monitoring system for data pipeline performance within the Defense & Aerospace sector. It ingests data from various sources, including ERP transaction logs, system performance logs, and operational trace data. The ingestion pipeline captures these logs in real-time, allowing for immediate analysis. The processing steps involve analyzing the collected logs to calculate key performance indicators (KPIs) such as latency and cost efficiency. Quality c

The purpose of this DAG is to implement a robust monitoring system for data pipeline performance within the Defense & Aerospace sector. It ingests data from various sources, including ERP transaction logs, system performance logs, and operational trace data. The ingestion pipeline captures these logs in real-time, allowing for immediate analysis. The processing steps involve analyzing the collected logs to calculate key performance indicators (KPIs) such as latency and cost efficiency. Quality controls are integrated to ensure data integrity, and alerts are configured to notify teams of any anomalies or failures in the pipeline. In the event of an incident, a runbook is available to guide teams through recovery procedures. The outputs of this DAG include performance reports, alert notifications, and incident logs, which provide valuable insights into operational performance. Monitoring KPIs such as average latency, cost per transaction, and error rates are established to ensure continuous improvement. This DAG delivers significant business value by enhancing operational efficiency, reducing downtime, and enabling proactive incident management, which is critical in the high-stakes environment of Defense & Aerospace.

Part of the Data & Model Catalog solution for the Defense & Aerospace industry.

Use cases

• Increased operational efficiency through proactive monitoring
• Reduced downtime with immediate alert notifications
• Enhanced decision-making with detailed performance insights
• Streamlined incident response with structured runbook guidance
• Cost savings through optimized data processing