Observability Dashboards for Multi-Tenant SaaS Security Platforms

Pallav Laskar ()

International Journal of Computing and Engineering, 2025, vol. 7, issue 15, 33 - 49

Abstract: This comprehensive article explores the observability architecture for multi-tenant SaaS security platforms that process massive telemetry volumes while maintaining strict performance guarantees across thousands of tenants. The article presents a reference framework that unifies logs, traces, and business metrics across distributed environments to address the unique challenges of security observability. It examines the implementation of OpenTelemetry standardization for consistent instrumentation, tenant-aware enrichment pipelines that provide crucial business context, adaptive sampling strategies that balance visibility with cost efficiency, and automated schema-drift detection to maintain analytics integrity. The article encompasses the complexity of multi-tenant isolation requirements, the heterogeneity of workload patterns across customer segments, and the importance of standardized attribute taxonomies. By exploring implementation best practices from industry research, the article provides a blueprint for observability solutions that enable rapid incident resolution, optimize resource utilization, and ensure comprehensive visibility while controlling costs in the highly demanding environment of modern security platforms.

Keywords: Multi-Tenant Observability; OpenTelemetry Standardization; Adaptive Sampling Strategies; Tenant-Aware Enrichment; Schema-Drift Detection (search for similar items in EconPapers)
Date: 2025
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