How to Test Autoscaling in Kubernetes
Test Kubernetes autoscaling with controlled load. Verify HPA metrics, readiness, scaling policies, and scale-down alongside latency and errors.
Posts by Nate Lee
Sales leader at Speedscale, focused on API testing and performance. • 9 posts published
Kubernetes Load Testing Comparison: Speedscale vs k6
Compare Speedscale and k6 for Kubernetes load testing. Reuse captured requests, isolate dependencies, and evaluate CI gates with the same workload.
Speedscale vs. LocalStack for Realistic Mocks
API mocking plays a crucial role in modern software development allowing developers to simulate external API endpoints.
How to Mock gRPC APIs
Mock gRPC from recorded exchanges. Understand proto requirements, streaming version limits, matching rules, authentication, and capture compatibility.
Regression Test Performance Best Practices
Set performance regression baselines from repeatable workloads. Measure variation, preserve correctness checks, and compare delivered load and latency.
What is Resilience Testing: The Ultimate Guide
Test resilience with defined dependency faults, observable degraded behavior, stop conditions, and recovery criteria alongside representative load.
k6 tutorial: captured traffic with mocked backends
Capture API traffic with Speedscale, export a k6 load scenario, and mock backend dependencies in Kubernetes with speedctl or locally with proxymock.
Gatling vs. Speedscale for Kubernetes Load Testing
Compare Gatling and Speedscale for Kubernetes load tests. Evaluate scripts, recordings, dependency isolation, and CI results alongside existing tests.
Testing Golang with httptest Best Practices
Test Go handlers and clients with httptest. Choose recorders, local HTTP servers, and TLS test clients, and define database boundaries explicitly.
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