Optimized Cloud Infrastructure and Data Integration for High-Volume AdTech Operations

The client faces difficulties in deploying cost-efficient cloud infrastructure capable of handling high-volume, small-sized network transactions typical of AdTech workloads. Existing cloud pricing models are not optimized for such traffic patterns, leading to elevated operational costs. Additionally, there is a need for seamless integration of diverse data sources, including real-time bidstreams, to enable high-performance analytics and decision-making.

A large-scale advertising technology company managing high-velocity bidstream data and real-time bidding processes, seeking cost-effective, scalable cloud solutions with robust data integration.

• Reduce cloud operational costs by leveraging hybrid and optimized deployment strategies tailored for high-volume, small transaction workloads.
• Design and implement a scalable, cloud-native data architecture supporting real-time data ingestion from diverse sources such as bidstreams.
• Establish reliable data querying and access layers to facilitate rapid analysis and visualization.
• Ensure high availability, fault tolerance, and dynamic autoscaling to handle variable market demands.
• Accelerate time-to-market through prebuilt components and automation, with ongoing monitoring and support.

• Hybrid cloud deployment leveraging bare-metal infrastructure for core bidding and data logic, with cloud bursting for additional capacity.
• Cloud-native data integration layer capable of ingesting and querying large-scale real-time data streams like bidstreams.
• Use of discrete microservices architecture for scalability and predictable failure handling.
• An internal analytics dashboard for monitoring business metrics and market trends.
• Automated deployment pipelines with continuous integration/continuous deployment (CI/CD).
• Failover, backup planning, and high-availability configurations to ensure uptime and data integrity.
• Monitoring tools providing 24/7 operational oversight and alerting.

• Real-time data streams from bidstream sources
• Data visualization and analytics platforms
• Existing internal data repositories and marketplaces
• Monitoring and alerting services

• Cost optimization tailored for high-volume, small transaction workloads
• Scalability to support variable market demand with dynamic autoscaling
• High reliability with failover and backup capabilities
• Secure data transmission and storage, conforming to industry standards

The implementation of an optimized hybrid cloud infrastructure with integrated real-time data processing is expected to significantly reduce operational costs—potentially saving tens of millions annually—while enhancing system scalability, reliability, and agility. The deployment aims to enable faster market response, improved data-driven decision-making, and seamless handling of high-volume, small transaction traffic typical of the AdTech industry.