SLA adherence through major live event windows including peak Olympic broadcast
Data processing at peak event volume – delivered 60 minutes ahead of SLA during Paris 2024
Platform services monitored continuously across 8 PB of managed data
In annual cloud savings through systematic FinOps optimization
Tentpole events – the Super Bowl, the Olympics, the Oscars, the NCAA Tournament – represent the highest-revenue, highest-exposure moments in the broadcast advertising calendar. The platform infrastructure that delivers advertising during these events is under the greatest operational stress of the year.
Publishers who manage this stress with monitoring infrastructure designed for average operating load are exposed. Publishers who have built real-time operations intelligence – 24×7 endpoint monitoring, predictive capacity management, and operations teams that watch events rather than fight them – run their most valuable revenue moments with a fundamentally different risk profile.
Ad delivery during high-stakes events operates under extreme load and complexity, where small failures cascade into revenue and relationship risks. Without real-time visibility and proactive control, publishers are exposed to performance gaps, cost overruns, and post-campaign disputes.
Most ad delivery infrastructure is capacity-planned for average operating conditions with headroom for modest peaks. A major tentpole event does not produce a modest peak. It produces a sustained, multi-day surge – in impression volume, targeting lookups, audience signal processing, pacing checks, and measurement data flows – that tests every component simultaneously.
In a typical major publisher environment, ad delivery depends on 800+ endpoint integrations – ad servers, DSPs, SSPs, measurement vendors, data pipelines, audience signal feeds. When any of these integrations fails, the cascade into campaign delivery often occurs silently – not detected until the agency calls.
Most publishers understand their aggregate cloud bill. Few understand which specific workloads are generating cost disproportionate to their value. The result is cloud spend that grows year over year without systematic governance against the intelligence that spend is intended to produce.
When delivery data, audience data, and billing data are reconciled manually – or reconciled late – discrepancies surface in post-campaign billing conversations rather than being resolved proactively. These discrepancies erode agency confidence and create revenue recovery friction.
Infocepts enables real-time operations intelligence across ad delivery infrastructure – combining monitoring, forecasting, and cost optimization to ensure reliable performance during peak demand and high-revenue events.
Continuous monitoring across your full ad technology endpoint stack - ad servers, programmatic integrations, audience signal feeds, measurement data flows, and clean room connectors. Intelligent alerting that identifies failures before they cascade into campaign delivery incidents.
Pre-event capacity assessment, load testing, and auto-scaling configuration - ensuring your infrastructure is calibrated for peak event load rather than average operating conditions. Real-time monitoring with dedicated incident response during event windows.
Workload-level cloud cost intelligence - storage optimization, compute scheduling, job orchestration, and infrastructure right-sizing - specific to M&E operational patterns. Delivered as a systematic practice, not a one-time audit.
Automated reconciliation of delivery data, audience data, and billing data - identifying discrepancies before they reach the agency invoicing conversation and enabling proactive resolution.
Capacity demand forecasting for upcoming event windows, seasonal traffic patterns, and programmatic volume projections - enabling proactive infrastructure management rather than reactive scaling.
SLA adherence through major live event windows
Data processing of normal daily volume during Paris Olympics 2024 - delivered 60 minutes ahead of SLA
Annual cloud savings through FinOps optimization across storage, compute, and infrastructure
Platform services managed at production scale across 8 PB of data
Explore how media organizations are building real-time operations intelligence, optimizing cloud costs, and ensuring reliable ad delivery performance during high-impact events.
Broadcasters ensure ad delivery reliability during live events through pre-event capacity assessment and infrastructure calibration, auto-scaling configuration tested against projected peak load, 24×7 endpoint monitoring with intelligent alerting, and dedicated operations support during event windows. Publishers who approach tentpole events with real-time operations intelligence – rather than reactive manual monitoring – maintain delivery reliability at peak stress conditions that standard monitoring infrastructure cannot handle.
24×7 ad operations monitoring is the continuous real-time monitoring of the full ad technology integration stack – ad servers, demand-side platforms, supply-side platforms, measurement vendor connections, audience signal feeds, and data pipeline endpoints. Intelligent alerting identifies integration failures, delivery anomalies, and pacing deviations before they cascade into campaign delivery incidents that require agency communication.
FinOps for broadcasters is the practice of continuously analyzing and optimizing cloud infrastructure costs at the workload level – specific to the operating patterns of media organizations. Unlike generic cloud cost management, M&E FinOps requires understanding of media-specific workload patterns: video storage tiering, programmatic ad serving load profiles, streaming delivery cost dynamics, and the relationship between data engineering workload costs and the commercial value of the intelligence those workloads produce.
Ad delivery failures during live events are most commonly caused by: infrastructure capacity that is not calibrated for peak load (systems performing normally under average conditions that fail under sustained event-level stress), integration failures at key ad technology endpoints that cascade into delivery gaps, pacing divergence that is not caught in real time (campaigns that are performing normally early in an event window that fall off in later windows without automated detection), and inventory conflict conditions that emerge from the complexity of tentpole inventory management across multiple deal structures.
Full endpoint monitoring across a major publisher’s ad technology stack deploys in four to six weeks – covering the integration inventory, alerting configuration, and escalation process definition required for production monitoring.
