SALT LAKE CITY -- groundcover announced an expansion of its eBPF sensor at KubeCon + CloudNativeCon North America 2026, adding the ability to tie application requests to the SQL queries they execute, along with support for ClickHouse and SIP protocols. The sensor runs in every Kubernetes cluster and collects telemetry without code changes.
When a request slows down, the sensor now links its span to the exact SQL query behind it, allowing engineers to see whether a database caused the delay without adding SDKs or database client libraries. The update also adds Kafka to the workload APIs view, Azure OpenAI detection including time to first token for AI workloads, and a host metric that tracks processes blocked on I/O.
“Most observability tools make you choose between depth and reach,” said Shahar Azulay, CEO and co-founder of groundcover. “You get one connected picture of production, without anyone writing instrumentation code.”
Kubernetes Context on Every Signal #
The company said the sensor now tags data with workload, namespace, cloud region and zone at the point of collection, and extends that context to third-party metrics and Fluent Bit logs. StatsD ingestion is on by default, DogStatsD host labels and Datadog distribution sketches are supported, and OpenTelemetry-only deployments get full APM.
groundcover said the sensor can now run in managed and locked-down clusters, including as an approved Google Kubernetes Engine Autopilot partner workload, and can route outbound traffic through an HTTP proxy. A new Crossplane provider lets platform teams define groundcover configuration as Kubernetes custom resources and manage it through GitOps workflows. All capabilities are available now to groundcover customers.