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
    • 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
Powered by GitBook
On this page
  • Setting metadata
  • Configuring the output stage
Export as PDF
  1. Integrations
  2. Data sources

FluentBit

Last updated 2 months ago

groundcover automatically collects all logs within your Kubernetes cluster streamed via Standard Output (stdout) using our proprietary eBPF sensor, requiring no setup. However, if your organization stores logs in files, either within Kubernetes or outside, or if you want to pass logs from non-Kubernetes entities, you can use FluentBit to send these logs to groundcover.

Setting metadata

While not required, it is suggested to set metadata attributes to be recognized by groundoover.

Attribute
Meaning

env_name

clusterId

Will associate the log with a cluster in groundcover.

host.name

Will appear as the logs' hostname

gc_source_type

will appear the source of the type of the logs. . Can be any value of your choosing. For example, logs from Kubernetes clusters are marked as 'k8s'

service.name

Will appear as the name of the workload that created the log.

Configuring the output stage

Setup instructions depend on whether your logs are stored in a Kubernetes or non-Kubernetes cluster.

This feature is only available for enterprise plan.

Finding the OTEL endpoint of the inCloud backend

The following example will use FluentBit's to send logs to your inCloud's endpoint.

For more instructions on finding your inCloud endpoint and apikey, see docs.

Configuring an output stage

Add the following code to your Fluent Bit configuration to start sending logs to groundcover:

[OUTPUT]
        Name http
        Match *
        Host {inCloud_Site}
        Port 443
        Tls On
        Tls.verify On
        URI /json/logs
        Json_date_key    timestamp
        Json_date_format iso8601
        Header apikey {api-key}

Finding the endpoint of our eBPF sensor's collector

First, direct FluentBit's to our eBPF sensor's daemonset.

Use the instructions to locate the endpoint for the sensor service, referenced below as {GROUNDCOVER_SENSOR_ENDPOINT}.

Configuring an output stage

Add the following code to your FluentBit configuration file to start sending logs to groundcover:

[OUTPUT]
        Name opentelemetry
        Match *
        Host {GROUNDCOVER-SENSOR-ENDPOINT}
        Logs_uri /v1/logs
        Port 4318
        Tls Off
        Tls.verify Off
        Log_response_payload Off 

Will associate the log with an environment in groundcover.

Read more
OpenTelemetry Exporter
OpenTelemetry Exporter
here
these