Authors: Amal R, Fathima Naseer,, Gokul Krishna, Revathy N.
Abstract: Modern enterprise IT environments are characterized by their complexity, spanning heterogeneous systems that include physical infrastructure, virtualized workloads, cloud-native components, and deeply integrated Oracle applications. In such multi-tier architectures, traditional siloed monitoring approaches are no longer sufficient for ensuring uptime, performance, and compliance. This review explores a multi-layered system observability framework that combines ScienceLogic EM7 and Oracle Enterprise Manager (OEM) to deliver holistic visibility across hybrid infrastructures. EM7 offers broad coverage of infrastructure, storage, and network devices, while OEM provides deep telemetry for Oracle databases, middleware, and business applications. Together, they create a unified observability stack capable of delivering actionable insights at every layer—from hardware health to SQL execution latency. The article examines how EM7 and OEM interoperate through API integrations, SNMP traps, and unified dashboards, enabling IT teams to correlate events across system tiers for accurate root-cause analysis and proactive maintenance. Detailed use cases highlight their joint effectiveness in large-scale Oracle RAC environments, SLA reporting, and regulated sectors such as finance and government. The review also addresses architectural considerations, scalability strategies, and security controls including role-based access, data encryption, and compliance with standards like HIPAA and SOX. It further discusses technical challenges such as data model mismatches, alert duplication, and integration overhead, offering mitigation techniques. Finally, the paper explores future directions, including AI-augmented observability, OpenTelemetry-based integrations, and service graph mapping for business impact analysis. By synthesizing these technologies, organizations can transform reactive monitoring into intelligent, automated observability frameworks that support digital transformation and operational resilience.
DOI: https://doi.org/10.5281/zenodo.16153307
