Evaluate, optimize, and secure your Google Cloud AI stack with Datadog
Blog post from Datadog
Datadog is enhancing its collaboration with Google Cloud to address challenges in managing the full AI stack, from data pipelines and infrastructure to security operations, by providing a unified platform for AI application teams. This platform offers tools for evaluating and troubleshooting AI applications, optimizing costs and performance on GPUs and TPUs, improving data reliability, and strengthening security with AI-driven investigation and response capabilities. Datadog's solutions, including LLM Observability and GPU Monitoring, aim to streamline visibility into agent behavior, data health, and infrastructure performance, while Bits AI Security Analyst assists in threat detection and response. By integrating with Google Cloud's infrastructure, Datadog helps teams reduce complexity, improve reliability, and move faster, positioning itself as a key partner for AI success on Google Cloud.