groundcover introduces Agent Mode for autonomous incident investigation
The agent uses eBPF and OTel data, carries team judgment via skills, and integrates with Slack, Jira, and coding agents to resolve incidents autonomously.
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Cloud-native observability platform powered by eBPF
groundcover.comLast updated
In short: groundcover raised $35 million, launched AI-native observability tools for major cloud providers, and introduced a Datadog migration platform.
The agent uses eBPF and OTel data, carries team judgment via skills, and integrates with Slack, Jira, and coding agents to resolve incidents autonomously.
Introduces Synthetic Monitoring, Real User Monitoring, and Session Replay for full user experience visibility in customer clouds. Available now.
Agent Mode operates natively using gcQL for precise analysis, shifting from dashboards to driven investigations. It correlates signals like HTTP errors with Kubernetes events efficiently.
The organization expresses pride in this recognition.
groundcover Unveils Major Enhancements to Infrastructure Monitoring with Synthetics and Real User Monitoring New capabilities deliver proactive testing, real-time user insights and full-stack visibility without...
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...
eBPF captures everything. The AI Mode can actually use it. groundcover, the BYOC-driven observability platform for modern architectures, today announced the general availability of groundcover...
SAN FRANCISCO, December 01, 2025--groundcover, the BYOC-powered observability platform for cloud-native environments, today announced expanded support for Amazon Bedrock and Bedrock AgentCore. Engineering and AI...
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