An Integrated Approach for Logging and Monitoring in a Containerized Microservices Architecture

Authors: Rahul Roy Devarakonda

Country: India

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Abstract: Because containerized microservices architectures are dynamic, distributed, and ephemeral, their growing adoption has created new challenges for logging, monitoring, and observability. The large amount of log data, real-time performance tracking, and automated anomaly detection needed for contemporary cloud-native setups are too much for traditional monitoring techniques to handle. To enhance system observability and facilitate failure diagnosis, this study proposes an integrated logging and monitoring architecture that leverages distributed tracing, centralized log aggregation, and AI-driven anomaly detection. The effectiveness of an integrated approach in enhancing operational resilience, optimizing resource utilization, and ensuring the stability of containerized microservices environments is demonstrated by the performance evaluation, which reveals high log ingestion rates, reduced detection latency, and improved accuracy in identifying anomalies and performance bottlenecks. The suggested approach integrates log management tools (ELK Stack, Loki), real-time monitoring solutions (Prometheus, Grafana), and distributed tracing (Jaeger, OpenTelemetry) to achieve efficient log processing and rapid fault identification. Additionally, machine learning algorithms are incorporated for anomaly detection, which significantly improves incident response times and system reliability.To address the increasing complexity of microservices-based systems, this study highlights the importance of automated, scalable, and intelligent logging and monitoring solutions. Microservices observability will be further strengthened by upcoming developments in self-healing architectures, adaptive alerting, and predictive analytics, enabling proactive problem-solving and improved system performance.

Keywords: Observability, EFK Stack, Cloud-Native Monitoring, Distributed Tracing, Open Telemetry, Jaeger, Prometheus, Grana, Containerized Microservices, Logging, Monitoring, Observability, Machine Learning-Based Anomaly Detection, and Real-Time Monitoring

Paper Id: 232296

Published On: 2020-01-08

Published In: Volume 8, Issue 1, January-February 2020

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