Case Study: PubMatic reduces HDFS storage footprint and boosts data reliability with Acceldata

PubMatic reduces HDFS block footprint by 30% with Acceldata

PubMatic, a major US AdTech company, faced significant challenges due to the massive scale of its data operations. With thousands of nodes and hundreds of petabytes of data, the company experienced frequent outages, performance bottlenecks, and a high mean time to resolution. This led to costly operational issues and constant engineering firefighting. PubMatic turned to the Acceldata Platform to address these reliability, scalability, and cost concerns.

By implementing Acceldata's data observability platform, PubMatic was able to isolate bottlenecks and automate performance improvements. The results were substantial, including a 30% reduction in HDFS storage block footprint and millions saved in infrastructure and software license costs. Specifically, Acceldata helped consolidate Kafka clusters, reduce OEM support costs by $10 million, and eliminate day-to-day engineering firefighting, allowing teams to refocus on core business growth.

PubMatic