Automating Distributed Systems Monitoring with CloudWatch, OpsGenie, and Grafana: A Comprehensive Guide
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V6I4P103Keywords:
Distributed Systems, Cloud Monitoring, Automation, CloudWatch, OpsGenie, Grafana, Incident Management, Anomaly Detection, Performance Metrics, DevOpsAbstract
Modern cloud computing infrastructures are based on distributed systems and the need for such monitoring solutions is essential to keep them reliable and available, and in full use of their performance. The growth of operations then becomes unscalable using manual monitoring and requires an automation driven approach. In this paper, we provide a comprehensive framework for automating the distributed systems monitoring with Amazon Cloud Watch, OpsGenie and Grafana. These tools collectively provide a holistic view to monitoring by bringing real time telemetry together with intelligent alerting and advanced visualization. Our paper elaborates the architectural aspect of monitoring automation by data collection, event driven notification, anomaly detection, and dashboarding strategies. A methodology based on the use of a mathematical modeling approach is introduced in order to formalize key performance indicators (KPIs) such as latency (L), throughput (T) and system availability (A). Thorough empirical analysis in a cloud native environment is used to evaluate the proposed framework and shows how the framework decreases Mean Time to Detect (MTTD) as well as Mean Time to Resolve (MTTR) incidents. It is shown that operational efficiency, system resilience and downtime are minimized using automation. This research provides insights for system architects, DevOps engineers, and cloud practitioners seeking to implement an intelligent, automated monitoring strategy for large-scale distributed applications
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