Go Stress Testing

Go Stress Testing - benchmark system stabilit… | Awesome Repos

Features

HTTP Load Testing - Provides a high-concurrency performance testing utility for simulating heavy traffic across HTTP, WebSocket, and gRPC protocols.
Multi-Protocol Load Testing - Executes load tests across diverse communication standards including HTTP, HTTPS, WebSocket, gRPC, and Radius.
High-Concurrency Runtimes - Simulates heavy traffic loads using lightweight routines to maximize CPU utilization and evaluate system performance under extreme volumes.
Real-time Performance Monitoring - Provides live streams of performance metrics including throughput, latency, and error distributions during active stress testing.
Load Simulation Testing - Simulates massive volumes of simultaneous user requests to identify system bottlenecks and verify infrastructure stability under extreme traffic conditions.
Network Stress Testers - Offers a performance evaluation suite that supports custom request payloads and binary data to identify bottlenecks in distributed service architectures.
Framework Performance Test Executions - Functions as a command-line tool for executing stress tests, monitoring real-time throughput metrics, and generating detailed statistical reports.
Performance Metric Aggregators - Collects real-time performance data from concurrent workers into a centralized stream for live monitoring and statistical analysis.
Response Integrity Validation - Verifies server responses using pluggable validation logic to ensure data integrity and expected status codes during high-concurrency load tests.
Protocol-Agnostic Proxies - Employs a modular interface layer to dispatch traffic across diverse communication standards like HTTP, gRPC, and WebSockets.
Request Payloads - Supports reading request data, headers, and binary content from external files to simulate complex network traffic patterns.
Performance Analysis - Generates detailed statistical reports and uses intelligent scoring to evaluate system latency, throughput, and error rates during high-load scenarios.
Goroutine-Per-Connection Models - Uses lightweight execution threads to manage millions of simultaneous network connections with minimal memory overhead per request.
Performance Visualization - Renders interactive charts to track requests per second, success rates, and latency trends over the duration of a performance test.
Performance Reporting - Generates detailed statistical reports and performance summaries after load tests to document system health and response time distributions.
API Request Configurations - Allows defining custom headers, request bodies, and file uploads via command-line configurations to replicate diverse client behaviors.
Request Validation Middleware - Executes custom validation logic against server responses during high-load scenarios to verify data integrity and service reliability.

Open-source alternatives to Go Stress Testing

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hatoo/oha
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See all 30 alternatives to Go Stress Testing

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Features

Open-source alternatives to Go Stress Testing

apache/jmeter

mcollina/autocannon

codesenberg/bombardier

hatoo/oha

Star history

Open-source alternatives to Go Stress Testing

apache/jmeter

mcollina/autocannon

codesenberg/bombardier

hatoo/oha