Automating performance tests in CI/CD pipelines
The documentation provides guidance on integrating k6 with CI/CD and automation tools to establish automated performance testing workflows.
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grafana.com
https://grafana.comGrafana k6 Documentation for AI Agents: Load & Performance Testing via MCP
Explore Grafana k6 documentation, an open-source tool for load and performance testing. This resource helps AI agents troubleshoot, operate, integrate, and build resilient applications by covering browser performance, synthetic monitoring, automation, and chaos testing to prevent errors and ensure reliability.
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Use grafana.com Documentation to complete source-specific tasks, make informed decisions, and follow evidence-backed workflows.
Conducting various load and performance tests
The k6 documentation details how to execute high-load performance tests like spike, stress, and soak tests to assess application reliability.
Diagnosing browser performance bottlenecks
Information on the k6 browser API explains how to run browser-based performance tests and collect metrics to pinpoint browser-specific performance problems.
Establishing continuous performance and synthetic monitoring
The source describes how to schedule k6 tests with minimal load for frequent execution, continuously validating production environment performance and availability, including with Grafana Cloud Synthetic Monitoring.
Simulating traffic for chaos and resilience experiments
Documentation outlines using k6 to simulate traffic as part of chaos experiments and how to inject faults in Kubernetes with xk6-disruptor to test system resilience.
Analyzing k6 test results for performance issues
The documentation provides guidance on interpreting k6 output and collected metrics to identify specific performance bottlenecks and areas for improvement.
Available sources
Choose the website or GitHub content you want in your workspace.
GitHub
Grafana k6 | Grafana k6 documentation
https://grafana.com/docs/k6
GitHub
Technical documentation | Grafana Labs
https://grafana.com/docs
Website
grafana.com
https://grafana.com
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45 pages
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