Case Study: SpringServe achieves real-time, end-to-end observability and reduced MTTR with Datadog

A Datadog Case Study

Preview of the SpringServe Case Study

Powering the Growth of a High-Volume Video Advertising Platform

SpringServe is a high-volume video ad server that handles tens of billions of ad requests per day and must respond to opportunities in under 100 ms. As their infrastructure became more dynamic and global, self-hosted tools like Graphite and Nagios grew slow and hard to maintain, leaving blind spots across regions and preventing metric correlation—threatening throughput, availability, and revenue.

They adopted Datadog for a unified, auto-scaling observability platform with out-of-the-box integrations, custom dashboards, and real-time alerts (notably for AWS Kinesis and ELB latency). The result: faster troubleshooting and reduced MTTR, proactive prevention of capacity and latency incidents, better business-metric visibility to optimize partners and prevent wasted spend, and freed engineering time to focus on product innovation.


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SpringServe

David Buonasera

Chief Technology Officer


Datadog

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