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
  • Integrating K6 with groundcover
  • Step 1: Enable Custom Metrics
  • Step 2: Import dashboard using Grafana ID
  • That's it!
Export as PDF
  1. Integrations
  2. 3rd-party metrics

K6

Last updated 1 year ago

k6 is a modern, open-source load testing tool designed for engineering teams to efficiently test the performance and scalability of their systems. It is particularly well-suited for testing APIs, microservices, and websites.

k6 distinguishes itself with its developer-centric approach, offering a clean and straightforward scripting experience in JavaScript, which allows for easy creation and execution of performance tests. This tool is built to handle the demands of modern cloud-native environments, supporting both local and cloud-based testing. It provides detailed insights into system performance under various load conditions, helping teams identify bottlenecks and optimize the performance and resilience of their applications.

Integrating K6 with groundcover

To start accessing granular insights, just follow these 2 super easy steps:

Step 1: Enable Custom Metrics

Follow our on how to enable scraping custom metrics on groundcover.

Step 2: Import dashboard using Grafana ID

In the groundcover platform, go to Dashboards -> New -> Import.

In the box titled "Import via grafana.com", enter one of the following dashboard IDs, then click "Load".

ID
Name
Description
More Info

2587

k6 Load Testing Results

A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter

10660

k6 Load Testing Results

A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter.

18030

k6 Prometheus (Native Histograms)

Visualize k6 OSS results stored in Prometheus with Native Histograms.

13719

k6 Load Testing Results By Groups

A dashboard for visualizing results from the k6.io load testing tool by groups, using the InfluxDB exporter.

4411

k6 Load Testing Results (option 3)

A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter.

Note: The dashboards above are the 5 most downloaded K6 dashboards on Grafana's website, and are listed by number of downloads. More dashboards are available on their website and the steps to add them is the same. Visit for the full list of K6 dashboards.

That's it!

You can now see the imported dashboard in your list of Dashboards and start using it immediately.

You can repeat this action to load as many of these dashboards as you like.

If you import more than one of these dashboards, you may find it useful to create a K6 Dashboards Folder in groundcover.

View all custom metrics

Back to integrations overview

Link
Link
Link
Link
Link
quick guide
this page