Revenue-critical workloads need consistent performance, not average conditions.
Dedicated infrastructure keeps execution steady under load.
When traffic spikes, response times shouldn’t.
Flat pricing reduces cost spikes tied to traffic growth.
Performance during peak demand was slipping. Optimization alone wasn’t enough. GeoSpot moved revenue-critical workloads and improved response times, fill rates, and scalability.
Deploy near key exchanges and demand sources to reduce bid latency.
Dedicated resources eliminate shared contention and maintain consistent performance.
This environment supports throughput-heavy, latency-sensitive systems.
Maintain visibility into where bidstream data runs and how it’s isolated.
Flat pricing helps reduce cost spikes during traffic surges.
Get 24/7 access to a team that understands.
Talk with our team to identify where variability is affecting performance and which workloads need tighter control.
Before you make a move, get clarity on performance, cost-per-bid stability, and how infrastructure decisions affect bidding outcomes.
Dedicated, hybrid, and multi-region deployments give adtech platforms flexibility as they scale. Putting revenue-critical workloads in the right place will reduce latency swings and cost instability.