Case Study: SAS achieves 4x CPU reduction and 7.5x faster performance with Datadog unified observability

SAS cuts Azure compute costs by 75% with Datadog

SAS, a global leader in advanced analytics and AI, faced a challenge with its cloud-native platform running over 100 microservices. They needed a single observability solution from Datadog to reduce MTTR, improve performance, and gain unified visibility across their complex, multicloud environment to support continuous delivery.

By implementing Datadog's unified observability platform, which brought together traces, metrics, logs, and database insights, SAS gained a single source of truth. The solution enabled SAS to achieve a 4x reduction in CPU usage, make a key feature 7.5x faster, and cut Azure compute costs by 75%. Datadog provided the clarity needed for rapid debugging and smarter collaboration, resulting in a faster, leaner, and more reliable platform for their customers.

SAS