105 Datadog Testimonials

“Before we began to use Datadog, most teams had no idea how changes in their applications might affect others. Now all of the teams have the insight they need to test and troubleshoot operational and performance issues before and during production rollouts.”

"Datadog’s Traces functionality is a next generation observability tool. It brings contextual information for high-volume services, and connects it to an individual request for analysis and troubleshooting."

"Datadog reduces the MTTR when we have incidents in our serverless environment by correlating critical metrics like Lambda executions and timeouts with traces and logs across functions, containers, and hosts in a single platform."

“Datadog gives me confidence that we know where our entire organization sits from a security standpoint.”

“Datadog LLM Observability helped us ensure high model performance and quality, and allowed us to expand functionality quickly and safely.”

“With LLM Observability, our team can understand, debug, and evaluate the usage and performance of our GenAI applications.”

“The visibility into production has been a game changer.”

“With Datadog and Google Cloud, we can get to the market faster with new features to enhance our employees’ capabilities and customer experiences. This helps us remain competitive as we scale and continue to innovate.”

“Recently, developers reported that there was an issue with their Kubernetes deployment. They started looking at Datadog by default rather than coming to us for that first question. They were able to identify and address the issue themselves.”