Shipping code quickly with confidence: Load Testing
Blog post from Basis Theory
Basis Theory’s testing series explains how load testing helps applications remain responsive and reliable during peak traffic by simulating user behavior before performance problems reach production. Load tests can target individual API operations or complete user journeys and can serve as performance tests for meeting service-level objectives, stress tests for identifying system limits and bottlenecks, or soak tests for detecting problems under sustained load. The team selected the open-source k6 framework because it supports local execution, JavaScript-based REST API tests, configurable traffic patterns, metrics export, CI/CD integration, and performance assertions. Using sendsecure.ly as an example, the post demonstrates a k6 test that repeatedly creates and retrieves secrets, records separate response-time metrics for each action, and enforces thresholds for failure rates and percentile response times. It recommends making tests reusable through environment variables and configurable virtual-user, iteration, and duration settings, while running performance checks in CI where practical and conducting stress or soak tests in production-like pre-production environments. The post also emphasizes carefully setting realistic thresholds, avoiding threshold creep, tracking metrics over time through tools such as Datadog, and combining load testing with acceptance, integration, UI, and synthetic testing to build confidence in system behavior and production readiness.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.