groundcover, the BYOC-driven observability platform for modern architectures, today announced its presence at Google Cloud Next 2026, taking place April 22-24 at Mandalay Bay Convention Center in Las Vegas. Attendees can visit groundcover at Booth 5301 to experience its AI-native observability platform and the expansion of its Agent Mode to support Google Vertex AI, deepening its native AI capabilities for teams on Google Cloud Platform (GCP).
At the event, groundcover will demonstrate how engineering teams can leverage Agent Mode to investigate production incidents, analyze infrastructure behavior, and accelerate root cause analysis, all while keeping telemetry data fully inside their own cloud environments.
Originally announced earlier this year, groundcover Agent Mode represents a new approach to observability, with AI built directly into the platform experience. Designed to run within customers’ own cloud environments, Agent Mode enables teams to troubleshoot faster without exporting sensitive telemetry data, helping maintain security, compliance and cost control.
At the core of Agent Mode is gcQL (groundcover Query Language), a purpose-built query language that enables the agent to construct precise, complex queries across logs, traces, metrics and events. By pushing deterministic computation directly to the backend rather than relying on the LLM to interpret raw data, gcQL significantly improves the accuracy and reliability of AI-driven investigations which is a meaningful technical distinction from approaches that simply layer a chatbot on top of existing observability data.
With its expansion to Google Vertex AI support, groundcover extends Agent Mode’s run AI-powered observability workflows natively against their existing Vertex AI infrastructure without routing data outside their environment.
What to Expect at Booth 5301
Attendees visiting groundcover at Google Cloud Next 2026 can expect:
- Live demonstrations of Agent Mode on GCP, showcasing real-time incident investigation and cross-service analysis.
- A deep dive into eBPF-based telemetry collection, delivering full-fidelity visibility without manual instrumentation.
- Practical guidance on reducing observability costs while increasing speed and depth of analysis.
- Opportunities to meet with groundcover engineers and product leaders.
groundcover will also preview new enhancements to Agent Mode, including:
- Intelligent, environment-aware prompt recommendations that surface the most relevant investigation starting points automatically and are based on live telemetry data from the customer’s own environment, so teams can begin resolving issues before they’ve even typed a question.
- Trigger-based agentic background workflows that continuously monitor environment signals and autonomously initiate investigations, alerts and remediation actions — without requiring an engineer to prompt the agent manually.
- Cursor integration for AI-assisted code remediation, enabling engineers to move directly from a production issue detected in groundcover to an automated pull request in their repository — without switching tools or losing context.
- Native Google Vertex AI support, enabling GCP customers to run Agent Mode’s full investigative and agentic workflow capabilities directly within their own Vertex AI infrastructure — keeping data private, costs predictable and performance optimized for their environment.
These capabilities further extend Agent Mode’s ability to automate investigations and simplify observability workflows directly within the platform.
Agent Mode: Observability Reimagined For the AI Era
Agent Mode is designed to act as a natural extension of the observability workflow, enabling engineers to ask questions, generate dashboards, create monitors and run queries from a single interface. Its context-aware capabilities allow teams to analyze complex, distributed systems more efficiently across microservices and dynamic cloud environments.
Unlike standalone AI investigation tools that sit outside the observability stack and stitch together data from multiple sources, groundcover’s Agent Mode operates from within the platform — with full access to correlated telemetry data, workload context and environment history. This architecture means the agent can surface richer, more accurate insights without the blind spots that come from fragmented data sources.
By combining AI-driven insights with groundcover’s in-cloud architecture, organizations gain:
- Faster incident resolution
- Reduced operational overhead
- Full control over data privacy and usage
- Seamless integration with modern cloud-native stacks
Join groundcover at Google Cloud Next 2026
groundcover invites attendees to visit Booth 5031 at the Mandalay Bay Convention Center in Las Vegas to see Agent Mode in action on Google Cloud Platform. To learn more or schedule a meeting, visit: https://www.groundcover.com/events-and-webinars/google-cloud-next-2026.
About groundcover
groundcover is a cloud native observability platform powered by eBPF. It runs inside the customer’s cloud and provides complete visibility into applications, infrastructure, networks and AI systems without operational overhead. The platform offers unlimited data coverage at a fraction of the cost of legacy observability tools. Learn more at https://www.groundcover.com.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260414474553/en/
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