Best Practices for Logging and Monitoring Big Data Pipelines with Grafana
Abstract
Comprehensive logging and real-time monitoring are critical for ensuring pipeline reliability, performance, and rapid troubleshooting in large-scale data engineering environments. Grafana—together with metrics stores such as Prometheus or AWS Timestream, and log backends like Grafana Loki—offers a unified platform for observability. This article surveys best practices for instrumenting big data pipelines—covering logging strategies, metrics collection (including Timestream as a long-term time-series store), alerting, and dashboard design—and illustrates how Grafana’s ecosystem enables end-to-end visibility.
How to Cite This Article
Ujjawal Nayak (2025). Best Practices for Logging and Monitoring Big Data Pipelines with Grafana . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 6(3), 835-836. DOI: https://doi.org/10.54660/IJMRGE.2025.6.3.835-836