Scaling real-time bidding and publisher monetization with the AWS Video Streaming Advertising Lens

At Amazon Web Services (AWS), we’re excited to announce our next evolution of the AWS Well-Architected Video Streaming Advertising (VSA) Lens. A Well-Architected Lens extends the AWS Well-Architected Framework with industry-specific or technology-specific guidance. The VSA Lens provides architectural best practices specifically for video streaming advertising workloads. The lens consists of a VSA whitepaper and a custom lens, available to the public on the AWS Well-Architected custom lens GitHub repository

Evolving the December 2025 V2 launch, this release incorporates learnings from customers operating real-time bidding platforms, publisher monetization systems, and data collaboration workloads at scale. The VSA Lens shows you how to build advertising platforms that respond to auctions in under 100 ms—even during tenfold traffic spikes. You’ll learn to improve bid win rates, cut infrastructure costs, and scale to billions of daily impressions.

What’s new

Version 3 expands beyond real-time bidding (RTB) infrastructure teams to serve a broader audience. Supply-side platforms (SSPs), ad exchanges, and demand-side platforms (DSPs) will find guidance on programmatic infrastructure. Publishers running free, ad-supported television (FAST) channels and server-guided ad insertion (SGAI) get specific playout and monetization patterns. The lens also covers data collaboration platforms implementing privacy-enhanced technologies and teams managing converged linear TV and digital advertising operations.

Version 3 incorporates several new design principles:

• Design for generative and agentic AI – Use generative AI to automatically generate and test ad creative variations, optimizing for engagement and conversion. Apply contextual targeting at scale by analyzing content in real time. Implement agentic AI workflows for automated campaign management, bid optimization, and audience segmentation. Adopt standardized frameworks like Advertising Context Protocol (AdCP), which enables AI agents to understand advertising context, and the IAB Tech Lab Agentic Real Time Framework (ARTF), which defines standards for AI-driven real-time bidding, with responsible AI practices including human oversight, model bias detection, and explainability.
• Design your prebid auction for concurrent demand – Send bid requests to all demand partners simultaneously, eliminating waterfall priority. Enforce strict server-side timeouts. Keep containers stateless and scale horizontally. Retain full ownership of auction logic and transaction data.
• Design automated FAST channel playout and monetization – Build broadcast-grade playout that integrates encoding, scheduling, and ad signaling. Embed SCTE-35 markers (industry-standard cue points that signal ad insertion opportunities) directly into content manifests. This approach keeps manifests cacheable and viewer-agnostic at the content delivery network (CDN) layer, reducing origin load and improving scalability.
• Design for unified linear and digital advertising operations – Build converged ad sales architecture with a single pane of glass for campaign planning across linear schedules and programmatic pipelines. Consolidate data sources into a unified advertising data lake for cross-platform attribution.
• Designing guidance for new nonintrusive ad formats – Guidance for overlays, pause ads, squeezeback or picture-in-picture, and shoppable ads that create new inventory opportunities without interrupting playback.

The VSA Lens broadens its coverage from RTB infrastructure to encompass the entire advertising technology ecosystem including:

• Publisher platforms – FAST channel playout, SGAI, server-side ad insertion (SSAI), and client-side ad insertion (CSAI)
• Converged operations – Unified linear TV and digital advertising workflows
• Privacy-enhanced collaboration – Data clean rooms, secure multiparty computation, and privacy-enhancing technologies (PETs)
• Agentic AI – Advertising agents using AdCP and ARTF
• Open source implementations – Prebid server deployment guidance for header bidding

Why this VSA Lens evolution matters

In recent years, the advertising technology landscape has evolved. Privacy regulations have matured, publishers have diversified their monetization, and tasks that were performed by machine learning (ML) have been taken on by agents. To stay current with these changes, the VSA Lens has also evolved.

Regulations like General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) have matured to meet the developing technology, and they’re being actively enforced. IAB Transparency and Consent Framework (TCF) v2.3 is the current standard, and third-party cookies are being deprecated across major browsers. Advertising architectures must incorporate privacy into infrastructure design, not layer it on afterward.

FAST channels have grown from an emerging format to mainstream revenue stream. SGAI provides a middle ground between SSAI cost and CSAI scale. Publishers need architectural guidance for these new formats.

Advertising was an early adopter of ML for fraud detection and bids prediction. Now, agentic AI is automating campaign planning, creative generation, and cross-platform optimization. Version 3 provides frameworks (such as AdCP and ARTF) for implementing these workflows safely.

Convergence is no longer optional.Linear TV and digital advertising will operate in parallel for at least another decade, but maintaining duplicate infrastructure is unsustainable. Unified measurement, shared identity frameworks, and converged campaign management are architectural requirements, not future aspirations.

Version 3 of the VSA Lens addresses these shifts with practical, actionable guidance grounded in real-world AWS implementations.

Who should use this VSA Lens

The VSA Lens is useful across the industry for many adopters:

• AdTech architects – If you’re building RTB platforms that must respond to bid requests in under 100 ms while handling tenfold traffic spikes during live events, the lens shows you how to architect for consistent sub-10 ms database lookups, parallel demand partner fan-out, and elastic scaling without manual intervention. If you’re integrating AI into advertising workflows, the lens shows you how to use generative AI for creative optimization and agentic frameworks (such as AdCP or ARTF) for campaign automation, with guidance on when to use dedicated ML accelerators or CPU inference based on model size and latency budgets.
• Chief revenue officers (CROs) – If you’re operating publisher monetization systems serving millions of concurrent FAST channel viewers, the SGAI optimization guidance shows how to serve millions of concurrent viewers without per-viewer stitching costs. The FAST channel playout patterns demonstrate how to automate the content-to-revenue pipeline.
• Ad sales – If you’re managing unified linear-digital ad sales, the converged data foundation patterns eliminate duplicate reporting infrastructure. The unified operations guidance provides patterns for CDN-cached manifests and stateless horizontally scalable components.
• Ad publishers – If you’re operating publisher monetization systems serving millions of concurrent FAST channel viewers or managing unified linear-digital ad sales, the lens provides patterns for CDN-cached manifests, stateless horizontally scalable components, and converged data foundations that eliminate duplicate reporting infrastructure.
• Chief technology officers (CTOs) – If you’re optimizing advertising infrastructure costs at scale, the lens demonstrates how architectural decisions compound into significant annual savings, from instance family selection to caching strategies to data pipeline design.
• Chief information security officers (CISOs) – If you’re implementing privacy-enhancing technologies for data collaboration between advertisers and publishers, the lens guides you through clean room architectures, confidential computing patterns, and contextual targeting approaches that address third-party signal loss while meeting regulatory requirements.

Get started

The Video Streaming Advertising Lens V3 is available now on the AWS Well-Architected custom lens GitHub repository. To get started:

1. Download the custom lens and import it into your AWS Well-Architected Tool.
2. Run your first assessment against your advertising infrastructure.
3. Review the VSA whitepaper for detailed implementation guidance.
4. Explore architectural patterns specific to your use case, such as RTB platforms, FAST channels, or converged operations.

Conclusion

The lens addresses the architectural questions that distinguish advertising from general web workloads, such as how to maintain sub-100ms response times when traffic increases tenfold in seconds, how to choose between managed services and self-hosted solutions for components on the auction critical path, and how to architect data pipelines that process billions of events daily while controlling costs. The guidance reflects patterns validated by customers operating at an advertising scale.

We update the VSA Lens as advertising technology advances. When new AWS services launch or industry frameworks mature, we incorporate those changes. Our mission is to help you architect advertising platforms that deliver business value while meeting the performance, scale, and cost requirements that define success in this space.

Contact an AWS representative to learn how we can help accelerate your business.

Further reading

• AWS for Advertising & Marketing – Run ultralow latency advertising workloads with unmatched cost performance
• IAB Tech Lab ARTF – Industry standards for agentic AI in advertising
• Prebid Documentation – Introduction to Header Bidding and the Prebid framework