Data Sources
The groundcover platform is built to be an all-in-one observability solution for cloud-native environments. It is built to ingest any data source directly into groundcover's backend.
By installing groundcover sensor, traces, logs and metrics are automatically collected. Read more about our Kubernetes installation here and for non-Kubernetes hosts here.
To get started with adding Data Sources, navigate to the data sources page in the platform.
Once a data source is connected, the Dashboard Catalog offers pre-built dashboards relevant to it, ready to install.
Check the below references for more data sources:
groundcover Essentials
Use groundcover essentials to get 360 view of your platform - install groundcover sensor to monitor your clusters, instrument Telemetry using OTel, scrape metrics using Prometheus and Add RUM to monitor your users behavior.
Cloud Providers
groundcover allows you to pull Telemetry from your cloud providers. Check the below guides:
SaaS Services
Stream logs from sources like Fluentd, Fluent Bit, or Logstash. Metrics can be ingested via Prometheus remote-write or directly from agents like StatsD and Telegraf. Traces can be ingested from any application instrumented with OpenTelemetry or Datadog’s SDK.
Also available: Confluent Cloud and profiling endpoints.
Database Monitoring
Connect directly to PostgreSQL or ClickHouse to collect built-in health metrics and query-performance traces without running a separate exporter. Use the health metrics in dashboards and monitors, install the included health dashboards, and inspect query statistics in Traces.
AI Tools
groundcover supports ingesting telemetry data from AI tools such as Claude Code, Codex, OpenClaw and Claude Cowork. Learn more about the integration here.
OpenAI Codex
Claude Code
Claude Cowork
OpenClaw
LangChain
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