Cloud-Agnostic High-Load Advertising Platform with Bidder and Data Platform

Overview

The project involved designing and building a cloud-agnostic buy-side advertising platform (Demand-Side Platform). The platform included high-load real-time bidding components, campaign and targeting management, event ingestion, data processing pipelines, and a reporting layer based on ClickHouse. The system was designed for programmatic advertising workloads where latency, throughput, cost efficiency, and data reliability are critical. The architecture supported real-time bid request processing, campaign targeting, audience and frequency-capping checks, event logging, aggregation, and business reporting. The infrastructure was built to run in a Kubernetes-based environment with Terraform-based provisioning, allowing deployment across different cloud providers or private infrastructure.

Achievements

Delivered a production-grade high-load advertising platform architecture capable of handling large-scale bid traffic and data-intensive reporting workloads. The platform combined low-latency request processing with a cost-efficient analytical backend based on ClickHouse. The cloud-agnostic Kubernetes and Terraform setup reduced infrastructure lock-in and made the platform adaptable to different client environments and deployment constraints.

Responsibilities

• Designed the end-to-end architecture of a buy-side advertising platform, including bidder, campaign management, targeting, event ingestion, aggregation, and reporting components.
• Architected the real-time bid stream processing flow with early traffic filtering, geo/IP enrichment, targeting evaluation, audience checks, frequency capping, and budget controls.
• Designed high-load backend services optimized for low latency, predictable memory usage, and efficient request processing under programmatic advertising traffic.
• Built the data platform architecture using ClickHouse for aggregation and reporting workloads, separating operational data flows from analytical queries.
• Designed event logging and ingestion flows for bids, impressions, clicks, conversions, and campaign performance metrics.
• Defined cloud-agnostic infrastructure patterns using Kubernetes, Terraform, Docker, and environment-based configuration management.
• Supported production-readiness activities, including performance tuning, scalability planning, deployment strategy, monitoring, and troubleshooting.
• Worked with product and engineering teams to translate business requirements into scalable technical solutions for campaign delivery and reporting.

Technologies Used