Energy — Energy System Performance Monitoring Pipeline
FreeThis DAG monitors the performance of research systems by collecting metrics on query performance and response times. It generates regular reports and alerts teams in case of performance degradation, ensuring system reliability and efficiency.
Overview
The Energy System Performance Monitoring Pipeline is designed to collect and analyze metrics related to the performance of search queries and their response times within energy systems. The primary purpose of this DAG is to ensure the reliability and efficiency of research systems by monitoring key performance indicators (KPIs). The data sources include query logs, response time metrics, and historical performance data. The ingestion pipeline begins with collecting these metrics from various sou
The Energy System Performance Monitoring Pipeline is designed to collect and analyze metrics related to the performance of search queries and their response times within energy systems. The primary purpose of this DAG is to ensure the reliability and efficiency of research systems by monitoring key performance indicators (KPIs). The data sources include query logs, response time metrics, and historical performance data. The ingestion pipeline begins with collecting these metrics from various sources, followed by processing steps that involve data validation, aggregation, and anomaly detection. Quality controls are implemented to ensure data accuracy and consistency, allowing for timely identification of performance issues. The outputs of this DAG include detailed performance reports, alerts for performance degradation, and historical performance analytics for trend analysis. Monitoring KPIs such as average response time and query error rate provide insights into system performance, enabling proactive management and corrective actions when anomalies are detected. The business value of this DAG lies in its ability to enhance system reliability, reduce downtime, and improve overall operational efficiency within the energy sector.
Part of the Literature Review solution for the Energy industry.
Use cases
- Enhances reliability of energy research systems
- Reduces downtime through timely alerts and actions
- Improves operational efficiency with data-driven insights
- Supports compliance with performance standards
- Facilitates informed decision-making through historical analysis
Technical Specifications
Inputs
- • Search query logs
- • Response time metrics
- • Historical performance data
Outputs
- • Performance reports
- • Alerts for performance issues
- • Historical analytics dashboard
Processing Steps
- 1. Collect query logs and response time metrics
- 2. Validate and clean the collected data
- 3. Aggregate metrics for analysis
- 4. Detect anomalies in performance data
- 5. Generate performance reports
- 6. Send alerts for degradation incidents
- 7. Store historical data for future analysis
Additional Information
DAG ID
WK-0901
Last Updated
2025-02-06
Downloads
90