groundcover Adds Agentic AI Observability in Google Cloud

groundcover is expanding its AI observability offering to support agentic workflows running in Google Cloud, with native compatibility for Google Vertex AI. The company says the update is now generally available to customers and works without added instrumentation, keeping observability data inside the customer’s own cloud environment. The move is aimed at teams building AI features into production systems and trying to understand how those systems behave once they move beyond single prompts and simple outputs.

Observability gets harder when AI applications start acting more like workflows than isolated model calls. In agentic systems, one request can trigger multiple model interactions, tool calls, and decision steps before a final output appears. Engineering teams need more than uptime and latency metrics in that kind of environment. They need to see what the model was asked to do, how the system moved through each step, where costs accumulated, and where performance or reliability started to drift.

groundcover’s update is built around that gap. The company is adding agent trace visibility so teams can follow full execution paths across model calls, tool usage, inputs, outputs, and reasoning steps. It is also expanding cost attribution so teams can see token-level spending, including prompt caching details that can change the economics of production AI workloads. By adding Vertex AI support, groundcover is also making a play for teams standardizing AI development inside Google Cloud and looking for a way to monitor those workloads without reworking their stack.

The bigger takeaway is that AI observability is starting to shift from a niche feature to a core production requirement. As more companies move from experimentation to live AI services, the question is no longer just whether a model works. It is whether teams can trace behavior, manage costs, and troubleshoot complex workflows with the same level of confidence they expect from the rest of their cloud infrastructure. This update puts groundcover more directly in that conversation, especially among teams building agent-based applications at scale.