Best practices for Golang API performance testing

Best practices for API performance testing Choose appropriate tools (HTTP client library, stress testing library, monitoring tools) Define clear test goals Use a real environment to simulate real scenarios for browser and server monitoring Practical cases Use Vegeta to simulate 100 concurrent requests Test/users API endpoint: for i := 0; i

Best Practices for Go Language API Performance Testing

Introduction

API performance testing is essential to ensure that the application Program reliability and scalability are critical. This article introduces the best practices for API performance testing using Go language, as well as a practical case.

Best practices for API performance testing using Go language

1. Choose the appropriate tool

• HTTP client Library: Use libraries such as http or net/http.
• Stress testing library: Vegeta, wrk2, hey and other tools can be used to simulate a large number of concurrent requests.
• Monitoring tools: Use tools such as pprof or expvar to analyze server performance.

2. Well-defined test goals

• Identify the API endpoints to be tested.
• Set goals for expected response time, throughput, and error rate.

3. Use a real environment

• Run tests on a system that is as close to the production environment as possible.
• Includes authentication, database access and external dependencies.

4. Write real-world scenarios

• Create test scenarios that simulate real user behavior.
• Includes requests of different sizes, concurrent requests, and authentication tokens.

5. Perform browser and server monitoring

• Use a browser extension such as WebPageTest to measure client performance.
• Use pprof and expvar on the server to monitor CPU usage, memory usage, and request latency.

Practical case

Use Vegeta to simulate 100 concurrent request tests/users API endpoint:

package main

import (
    "fmt"
    "log"
    "net/http"
    "os"
    "time"

    "github.com/tsenart/vegeta/v12/lib"
)

func main() {
    // go run main.go ""
    target := vegeta.NewStaticTargeter(os.Args[1])
    attack := vegeta.NewAttacker()

    var metrics vegeta.Metrics
    duration := 60 * time.Second

    for i := 0; i < 100; i++ { // 并发 100 个请求
        resp, _, err := attack.Do(target)
        if err != nil {
            log.Fatal(err)
        }
        metrics.Add(resp)
    }

    rate := time.Duration(metrics.Requests) * time.Second / duration
    avgLatency := metrics.Latencies.Mean
    throughput := metrics.Throughput.Mean

    fmt.Printf("Rate: %.2f req/s\n", rate)
    fmt.Printf("Latency: %.2f ms\n", avgLatency/time.Millisecond)
    fmt.Printf("Throughput: %.2f kb/s\n", throughput)
}

Conclusion

By following these best practices and using recommended tools, you can effectively perform Go language API performance testing. By conducting thorough testing, you can ensure that your application performs well in production.

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