How-To Guides⚓

Task-oriented recipes for specific goals. Each guide walks you through a complete solution from start to finish.

Configuration⚓

Set up and configure your load tests:

Configure resource limits and requests — Control CPU and memory allocation for master and worker pods
Use a private image registry — Pull Locust images from private registries with authentication
Mount volumes to test pods — Attach data, certificates, or configuration files from various sources
Configure Kafka and AWS MSK integration — Set up authenticated Kafka access for event-driven testing
Configure automatic cleanup with TTL — Automatically remove finished jobs and pods after tests complete

Monitor and measure test performance:

Configure OpenTelemetry integration — Export traces and metrics using native OTel support
Monitor test status and health — Track test progress, phase transitions, conditions, and pod health
Set up Prometheus monitoring — Collect and visualize test metrics with Prometheus and Grafana

Scale tests for high load and optimize resource placement:

Scale worker replicas for high load — Size worker replicas based on simulated user count
Use node affinity for dedicated test nodes — Target specific nodes using labels and affinity rules
Configure tolerations for tainted nodes — Schedule pods on nodes with taints
Use node selector for simple node targeting — Target nodes using simple label matching
Use a runtime class for sandboxed pods — Run Locust pods under gVisor or Kata Containers

Secure your tests and manage credentials:

Inject secrets into test pods — Use Kubernetes secrets for API keys, tokens, and credentials
Configure pod security settings — Set security contexts, RBAC, and network policies for test pods
Secure container registry access — Authenticate with private container registries

Validate operator deployments and test changes:

Validate with Kind cluster — Complete guide to testing the operator on a local Kind cluster