LogoLogo
Log in|Playground
  • 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
  • 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
    • 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
    • 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
Powered by GitBook
On this page
  • Kubernetes
  • Creating an overrides file
  • Deploying the sensors
Export as PDF
  1. Architecture
  2. inCloud Managed

Deploying in Sensor-Only mode

Last updated 3 months ago

The following guide will walk you through the steps of deploying in Sensor-Only mode, as the final step to setup inCloud Managed. If you're not in the process setting up inCloud Managed, you should follow to deploy groundcover.

Kubernetes

Deploying groundcover sensors in a Kubernetes cluster is done by deploying the groundcover Helm chart with specific overrides. There are multiple ways to deploy the Helm chart which are .

After setting up inCloud Managed you will receive configuration values from the groundcover team that are needed for the next steps.

If you haven't received those values please contact the groundcover team before proceeding.

Creating an overrides file

In order to deploy in sensor-only mode, you will need to provide installation values similar to these:

global:
  backend:
    enabled: false
  ingress:
    site: {inCloud_Site}

{inCloud_Site} is your unique backend identifier, which is needed for the sensors to send data to your backend. This value will be sent to you by the groundcover team after inCloud Managed is set up.

Example

In this example the {inCloud_Site} received by the groundcover team will be example.platform.grcv.io.

The following values will be needed in the deployment:

global:
  backend:
    enabled: false
  ingress:
    site: example.platform.grcv.io

Deploying the sensors

Choose any of the installation methods below to deploy the groundcover helm chart.

Don't forget to add the overrides the from previous step to the deployment values!

Using ArgoCD
this guide
listed below
Using the groundcover CLI
Using Helm