Integrating Google, Prebid & Amazon APS
A practical guide showing how to run prebid.js and apstag.js in parallel, synchronize targeting, and fire gpt.js
I write practical guides about ad technologies (GAM, GPT, Prebid), performance optimization, and frontend architecture using React and Next.js.

A deep dive into implementing website advertising in full GDPR compliance — from understanding consent requirements to integrating CMPs, blocking ad scripts.

Modern header bidding setups often combine Google Publisher Tag (GPT.js), Prebid.js and Amazon Publisher Services (APS / apstag). The goal: run all demand sources in parallel, merge their bids, and send the highest value into Google Ad Manager (GAM) — without breaking latency budgets.

Technical optimization meets business impact. In my article, I explain how Prebid.js improved ad efficiency, user experience, and revenue — all through smart frontend architecture.
A practical guide showing how to run prebid.js and apstag.js in parallel, synchronize targeting, and fire gpt.js
Learn how to efficiently load ad units as they become visible to maximize ad performance and enhance user experience.
Learn how to refresh efficiently and staying compliant with ad policies.
Practicing algorithmic problem solving and system design through regular coding challenges.
250+ problems solved
Senior Frontend Engineer with 10+ years building scalable cloud products and high-performance web apps — from cloud storage platforms to streaming video services. More.