Why groundcover Agent Mode Needs eBPF to See Everything
Learn why groundcover's Agent Mode relies on eBPF for complete visibility. See how connectors provide richer telemetry and more accurate AI investigations.
11 of 800 posts
Learn why groundcover's Agent Mode relies on eBPF for complete visibility. See how connectors provide richer telemetry and more accurate AI investigations.
Learn why context is essential for effective observability. See how richer telemetry helps teams investigate incidents and resolve issues faster.
Discover Agent Mode Connectors for AI observability. Connect Slack, Jira, and Linear to investigate incidents with full telemetry context.
Most agents guess at how your systems work. groundcover Agent Mode investigates incidents with your team's own judgment, telemetry, and cloud.
Learn how AI agents and groundcover detect SLO breaches, diagnose root causes, automate incident tickets, and suggest fixes using MCP.
The standard was supposed to fix observability practices. The reality was OTel was a just a way to communicate, but insufficient for deriving value from telemetry data.
Learn how groundcover evolved from off-the-shelf charting to a custom canvas-powered dashboard engine, overcoming scaling, performance, and correctness challenges to support full-fidelity observability at scale.
Discover how groundcover transformed OpenTelemetry from a trace source into a full APM producer, enabling accurate service metrics, dashboards, alerts, and agent-driven observability without eBPF.
Navigate from a client-side trace straight into the matching RUM session, replay the user's experience alongside the telemetry, and triage sessions faster in groundcover.
Learn about Kubernetes observability and find out how logs, metrics, and traces enhance system performance. Explore top tools and best practices in our guide.
groundcover brings Observability for Production AI to Microsoft Azure at Microsoft Build in San Francisco, CA at Fort Mason