# Integrating Xandr's Real-Time Data Provider On-Premises: Infrastructure Requirements and Engineering Challenges

DevFeed: [Integrating Xandr's Real-Time Data Provider On-Premises: Infrastructure Requirements and Engineering Challenges](<https://devfeed.tech/articles/how-we-slashed-our-infrastructure-costs-by-80-while-successfully-integrating-xandr-s-real-time-ad-35067.md>)

Original publisher: [Read original article](<https://medium.com/gumgum-tech/how-we-slashed-our-infrastructure-costs-by-80-while-successfully-integrating-xandrs-real-time-ad-9ff665f1e138?source=rss----d4c1dee0f87b---4>)

Author: Guy Watson

Published: 2025-04-22T22:57:37Z

Content type: article

Language: en

Sources: [GumGum](<https://devfeed.tech/sources/gumgum.md>)

Topics: [real-time](<https://devfeed.tech/topics/real-time.md>), [Requirements](<https://devfeed.tech/topics/requirements.md>), [on-prem](<https://devfeed.tech/topics/on-prem.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [data](<https://devfeed.tech/topics/data.md>), [digital](<https://devfeed.tech/topics/digital.md>)

Tags: [ads](<https://devfeed.tech/tags/ads.md>), [advertising](<https://devfeed.tech/tags/advertising.md>), [challenges](<https://devfeed.tech/tags/challenges.md>), [clients](<https://devfeed.tech/tags/clients.md>), [data-processing](<https://devfeed.tech/tags/data-processing.md>), [decision-making](<https://devfeed.tech/tags/decision-making.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [metric](<https://devfeed.tech/tags/metric.md>), [on-prem](<https://devfeed.tech/tags/on-prem.md>), [performance](<https://devfeed.tech/tags/performance.md>), [platform](<https://devfeed.tech/tags/platform.md>), [real-time](<https://devfeed.tech/tags/real-time.md>)

## AI overview

The article describes GumGum's experience integrating Xandr's Real-Time Data Provider on-premises, focusing on infrastructure requirements, scaling challenges, latency, traffic volume, and the decision to own hardware.

## Source excerpt

How We Slashed Our Infrastructure Costs by 80% While Successfully Integrating Xandr's Real-Time Ad Platform!Introduction In the fast-paced world of digital advertising, maximizing return on investment (ROI) for ad spend is paramount. Buyers need to make data-driven decisions in real time to ensure their ads reach the right audience at the right moment. For us, integrating Xandr's Real-Time Data Provider (RTDP) was essential to providing the real-time optimization signals that would help our clients maximize their ROI by boosting Attention Time -- the key metric driving the effectiveness of programmatic ad campaigns. Our story is one of navigating through technical hurdles, experimenting with new infrastructure, and finding creative solutions to challenging engineering problems. As we embarked on integrating Xandr Real Time Data Provider, the path was far from straightforward. From vendor selection to scaling issues, and even the decision to own our hardware, every step had its complications. Yet, each obstacle presented an opportunity for innovation and refinement. In this article, we'll take you through the key challenges we faced, how we overcame them, and the lessons we learned from integrating Xandr on-prem. Whether you're considering a similar project or are simply curious about the behind-the-scenes of large-scale advertising tech deployments, our experience might just offer the insights you need. Xandr Integration and Its Requirements Xandr, a leading programmatic advertising platform, provides powerful tools to streamline and optimize ad delivery, targeting, and performance tracking. For us, integrating with Xandr RTDP meant integrating with the real time optimisation Xandr platform. Xandr's system, built to handle vast amounts of data in real time, comes with certain infrastructure demands. These include: Volume: The platform must be capable of handling massive amounts of traffic at any given time. For example, billions of ad impressions are processed daily,