groundcover Expands AI Observability for Agent-Based Workflows on Google Cloud
groundcover, a cloud native observability platform, has expanded its observability platform to support artificial intelligence agents and agent-based workflows running on Google Cloud. The update extends its monitoring capabilities to track how AI agents interact with applications, services, and infrastructure. The platform is designed to provide visibility into performance, behavior, and dependencies across distributed systems, helping teams identify issues and optimize operations. The update includes agent trace visibility, accurate cost attribution, including prompt caching and Google Vertex AI support.
groundcover focuses on observability for cloud-native environments, and the new capabilities are intended to address challenges introduced by agent-based architectures. These systems can operate across multiple services and data sources, making traditional monitoring approaches less effective. The company said, "Customers can start with the AI Observability data automatically gathered by the groundcover eBPF sensor, and the OTel native aspect of the platform means any strategic changes they need to their observability are simple to design."
The integration with Google Cloud supports organizations deploying AI-driven applications at scale, enabling them to monitor agent activity alongside standard application metrics. As enterprises adopt AI agents, observability is becoming more complex
Posted by Pure AI Editors on 04/27/2026