Principles of building observability systems in cloud-based applications using OpenTelemetry

Abstract

The article examines a coherent set of principles for constructing observability systems in cloud-based applications, employing the OpenTelemetry standard as a primary instrument for achieving transparency, predictability, and controllability across distributed computing environments. The relevance of the study is conditioned by the rapid proliferation of cloud-native architectures and the need for unified mechanisms to correlate metrics, traces, and logs within multiservice, elastically scalable systems. The objective is to identify and systematize architectural and methodological principles that enable the design of observable applications grounded in the OTLP (OpenTelemetry Protocol) unified protocol and OpenTelemetry’s native integration into the Microsoft ecosystem. The novelty lies in a holistic treatment of observability not as an isolated technical module but as an embedded engineering discipline spanning the entire application life cycle, from project templates and CI/CD pipelines to cloud operations. The article proposes viewing OTLP as a telemetry USB port for distributed systems, enabling signal portability across monitoring platforms (Grafana, Azure, Dynatrace) without code changes or violating architectural invariants. Key results include substantiating OpenTelemetry’s role as a lingua franca between applications and analytics platforms; distinguishing three principal telemetry-collection topologies (sidecar, gateway, and managed); and analyzing their trade-offs between contextual proximity and operational overhead. The article is intended for DevOps engineers, cloud solution architects, developers, and researchers in telemetry and cloud-native technologies seeking to build a predictable, interpretable, and scalable observability system.