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  • Welcome
    • Introduction
    • FAQ
  • Capabilities
    • Log Management
    • Infrastructure Monitoring
    • Application Performance Monitoring (APM)
      • Application Metrics
      • Traces
      • Supported Technologies
    • Real User Monitoring (RUM)
  • Getting Started
    • Requirements
      • Kubernetes requirements
      • Kernel requirements for eBPF sensor
      • CPU architectures
      • ClickHouse resources
    • Installation & updating
    • Connect Linux hosts
    • Connect RUM
    • 5 quick steps to get you started
    • groundcover MCP
      • Configure groundcover's MCP Server
      • Getting-started Prompts
      • Real-world Use Cases
  • Use groundcover
    • Monitors
      • Create a new Monitor
      • Issues page
      • Monitor List page
      • Silences page
      • Monitor Catalog page
      • Monitor YAML structure
      • Embedded Grafana Alerts
        • Create a Grafana alert
    • Dashboards
      • Create a dashboard
      • Embedded Grafana Dashboards
        • Create a Grafana dashboard
        • Build alerts & dashboards with Grafana Terraform provider
        • Using groundcover datasources in a Self-hosted Grafana
    • Insights
    • Explore & Monitors query builder
    • Workflows
      • Create a new Workflow
      • Workflow Examples
      • Alert Structure
    • Search & Filter
    • Issues
    • Role-Based Access Control (RBAC)
    • Service Accounts
    • API Keys
    • APIs
    • Log Patterns
    • Drilldown
    • Scraping custom metrics
      • Operator based metrics
      • kube-state-metrics
      • cadvisor metrics
    • Backup & Restore Metrics
    • Metrics & Labels
    • Add custom environment labels
    • Configuring Pipelines
      • Writing Remap Transforms
      • Logs Pipeline Examples
      • Traces Pipeline Examples
      • Logs to Events Pipeline Examples
      • Logs/Traces Sensitive Data Obfuscation
      • Sensitive Data Obfuscation using OTTL
      • Log Filtering using OTTL
    • Querying your groundcover data
      • Query your logs
        • Example queries
        • Logs alerting
      • Query your metrics
      • Querying you data using an API
      • Using KEDA autoscaler with groundcover
  • Log Parsing with OpenTelemetry Pipelines
  • Log and Trace Correlation
  • RUM
  • Customization
    • Customize deployment
      • Agents in host network mode
      • API Key Secret
      • Argo CD
      • On-premise deployment
      • Quay.io registry
      • Configuring sensor deployment coverage
      • Enabling SSL Tracing in Java Applications
    • Customize usage
      • Filtering Kubernetes entities
      • Custom data retention
      • Sensitive data obfuscation
      • Custom storage
      • Custom logs collection
      • Custom labels and annotations
        • Enrich logs and traces with pod labels & annotations
        • Enrich metrics with node labels
      • Disable tracing for specific protocols
      • Tuning resources
      • Controlling the eBPF sampling mechanism
  • Integrations
    • Overview
    • Workflow Integrations
      • Slack Webhook Integration
      • Opsgenie Integration
      • Webhook Integration
        • Incident.io
      • PagerDuty Integration
      • Jira Webhook Integration
      • Send groundcover Alerts to Email via Zapier
    • Data sources
      • OpenTelemetry
        • Traces & Logs
        • Metrics
      • Istio
      • AWS
        • Ingest CloudWatch Metrics
        • Ingest CloudWatch Logs
        • Ingest Logs Stored on S3
        • Integrate CloudWatch Grafana Datasource
      • GCP
        • Ingest Google Cloud Monitoring Metrics
        • Stream Logs using Pub/Sub
        • Integrate Google Cloud Monitoring Grafana Datasource
      • Azure
        • Ingest Azure Monitor Metrics
      • DataDog
        • Traces
        • Metrics
      • FluentBit
      • Fluentd
      • JSON Logs
    • 3rd-party metrics
      • ActiveMQ
      • Aerospike
      • Cassandra
      • CloudFlare
      • Consul
      • CoreDNS
      • Etcd
      • HAProxy
      • Harbor
      • JMeter
      • K6
      • Loki
      • Nginx
      • Pi-hole
      • Postfix
      • RabbitMQ
      • Redpanda
      • SNMP
      • Solr
      • Tomcat
      • Traefik
      • Varnish
      • Vertica
      • Zabbix
    • Source control (Gitlab/Github)
  • Architecture
    • Overview
    • inCloud Managed
      • Setup inCloud Managed with AWS
        • AWS PrivateLink Setup
        • EKS add-on
      • Setup inCloud Managed with GCP
      • Setup inCloud Managed with Azure
      • High Availability
      • Disaster Recovery
      • Ingestion Endpoints
      • Deploying in Sensor-Only mode
    • Security considerations
      • Okta SSO - onboarding
    • Service endpoints inside the cluster
  • Product Updates
    • What's new?
    • Earlier updates
      • 2025
        • Mar 2025
        • Feb 2025
        • Jan 2025
      • 2024
        • Dec 2024
        • Nov 2024
        • Oct 2024
        • Sep 2024
        • Aug 2024
        • July 2024
        • May 2024
        • Apr 2024
        • Mar 2024
        • Feb 2024
        • Jan 2024
      • 2023
        • Dec 2023
        • Nov 2023
        • Oct 2023
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On this page
  • 1. Get a complete view of your workloads
  • 2. Check out full payloads of traces
  • 3. Build a native dashboard
  • 4. Set up a Monitor
  • 5. Invite your team
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  1. Getting Started

5 quick steps to get you started

Last updated 2 months ago

Once installed, we recommend following these steps to help you quickly gain the most our of groundcover's unique observability platform.

1. Get a complete view of your workloads

The "Home page" of the groundcover app is our Workloads page. From here, you can get a- service-centric view,

2. Check out full payloads of traces

3. Build a native dashboard

4. Set up a Monitor

5. Invite your team

Invites lets you share your workspaces with your colleagues in just a couple of clicks. You can find the "Invite Members" option at the bottom of the left navigation bar. Type in the email addresses of the teammates you want to invite, and set their user permissions (Admin, Editor, Read Only), then click "Send Invites".

A highly impactful advantage of leveraging eBPF in our proprietary sensor is that it enables visibility on the - including headers! This allows you to very quickly understand issues and provides context.

groundcover enables to very easily to visualize your data using our intuitive Query Builder as a guide, or using your own queries.

using our native Monitors, which you can configure using groundcover data and custom metrics. You can also choose from our Monitors Catalog, which contains multiple pre-built Monitors that cover a few of the most common use cases and needs.

full payloads of both request and response
Go to Traces →
build custom dashboards
Go to Dashboards →
Define custom alerts
Go to Monitors →
Go to Workloads →