Authors:
Subash Banala
Addresses:
Department of Financial Services, Capgemini, Texas, United States of America, subash.banala@capgemini.com.
Technology is dynamic; thus, system stability and reliability are crucial. In Site Reliability Engineering (SRE), observability provides advanced methods for monitoring, diagnosing, and optimizing systems. This work examines observability strategies for monitoring modern systems and improving their stability using sophisticated SRE methods. Measurements, logging, and tracing are the foundation of observability, and we describe their integration into strong monitoring frameworks. The proposed method comprises comprehensive literature reviews, practical case studies, and empirical data analysis. Data collection and analysis used Prometheus for metrics, ELK stack for logging, and Jaeger for tracing. Multiple real-world case studies included system performance measurements, logs, and traces. The study emphasizes proactive incident management, automation, and data-driven insights for system health. Through a comprehensive literature study, we describe the history of observability practices and their impact on system reliability. The technique section describes applying observability in real-world scenarios using empirical data and architectural designs. These tactics work, as impedance and multi-line graphs from case studies and implementations show. The discussion synthesizes these findings and critiques the methods. We finish by discussing observability’s challenges and future directions, highlighting the necessity for creativity and adaptation in this ever-changing sector. Its purpose is to help SRE practitioners and researchers understand the art and science of observability in modern system management.
Keywords: Site Reliability Engineering (SRE); System Stability; Monitoring and Automation; Shifting Down; Mean Time to Recovery (MTTR); Service Level Objectives (SLO); Key Performance Indicators (KPIs).
Received on: 12/10/2023, Revised on: 19/12/2023, Accepted on: 03/02/2024, Published on: 07/06/2024
AVE Trends in Intelligent Computing Systems, 2024 Vol. 1 No. 2, Pages: 66-76