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Volume 4 number 4 (10)

Original research

OBSERVABILITY-FIRST ENGINEERING FOR REAL-TIME ADVERTISING PIPELINES: LATENCY REGRESSION DETECTION AND REVENUE PROTECTION

Pages 467-476

DOI 10.61552/JEMIT.2026.04.010

ORCID Sujan Kumar Reddy Challa


Abstract Real-time advertising pipelines, particularly those supporting connected television (CTV) and video real-time bidding (RTB), operate under strict latency budgets while processing high volumes of heterogeneous events across bid requests, bid responses, fills, and downstream delivery signals. Generic application performance monitoring tools, built for request-response web services, frequently fail to capture the specific failure modes of these pipelines: latency regressions that erode fill rate before triggering conventional error alerts, and partner integrations that go silent rather than fail loudly. This paper presents a practitioner-oriented observability framework structured around three complementary pillars: a metric design approach tailored to the granularity and cardinality demands of RTB telemetry; a service-level-objective-based alerting architecture using multiple time windows and burn rates to reduce false positives; and a dashboard pattern that correlates technical signals with revenue impact for both engineering and business audiences. The paper also proposes treating the absence of expected data, such as a demand-side platform that stops responding without generating errors, as a distinct failure class requiring dedicated instrumentation. The framework draws on established observability, site reliability engineering, and microservice fault-analysis research, adapted to the specific constraints of advertising infrastructure, and is illustrated with hypothetical worked examples and validated through a discrete-event simulation study on synthetic RTB telemetry (Section 9). It is intended as a practical reference for engineering teams operating latency-sensitive, revenue-linked distributed systems.

Keywords: Observability, Service Level Objectives, Real-Time Bidding, Distributed Systems Monitoring, Anomaly Detection, Digital Advertising Systems.

Received: 21.07.2026. Revised: 06.09.2026. Accepted: 02.10.2026.