更新

下面的原始测试代码基本上是正确的，但是在NodeJS中，各种AWS服务的设置应该根据@Michael-sqlbot提供的SDK link有所不同

// manager
const AWS = require("aws-sdk")
const https = require('https');
const agent = new https.Agent({
    maxSockets: 498 // workers hit this level; expect plus 1 for the manager instance
});
const lambda = new AWS.Lambda({
    apiVersion: '2015-03-31',
    region: 'us-east-2', // Initial concurrency burst limit = 500
    httpOptions: {   // <--- replace the default of 50 (https) by
        agent: agent // <--- plugging the modified Agent into the service
    }
})
// NOW begin the manager handler code

在规划一项新服务时，我正在做一些初步的压力测试。在阅读了the 1,000 concurrent execution limit per account和initial burst rate（在us-east-2中是500）之后，我希望立即实现至少500个突发并发执行。下面的CloudWatch的Lambda指标的屏幕截图显示了其他情况。* 无论我尝试什么参数组合，我都无法超过51个并发执行 *。下面是测试代码：

// worker
exports.handler = async (event) => {
    // declare sleep promise
    const sleep = (ms) => new Promise((resolve) => setTimeout(resolve, ms));

    // return after one second
    let nStart = new Date().getTime()
    await sleep(1000)
    return new Date().getTime() - nStart; // report the exact ms the sleep actually took
};

// manager
exports.handler = async(event) => {
    const invokeWorker = async() => {
        try {
            let lambda = new AWS.Lambda() // NO! DO NOT DO THIS, SEE UPDATE ABOVE
            var params = {
                FunctionName: "worker-function",
                InvocationType: "RequestResponse",
                LogType: "None"
            };
            return await lambda.invoke(params).promise()

        }
        catch (error) {
            console.log(error)
        }
    };

    try {
        let nStart = new Date().getTime()
        let aPromises = []

        // invoke workers
        for (var i = 1; i <= 3000; i++) {
            aPromises.push(invokeWorker())
        }

        // record time to complete spawning
        let nSpawnMs = new Date().getTime() - nStart

        // wait for the workers to ALL return
        let aResponses = await Promise.all(aPromises)

        // sum all the actual sleep times
        const reducer = (accumulator, response) => { return accumulator + parseInt(response.Payload) };
        let nTotalWorkMs = aResponses.reduce(reducer, 0)

        // show me
        let nTotalET = new Date().getTime() - nStart
        return {
            jobsCount: aResponses.length,
            spawnCompletionMs: nSpawnMs,
            spawnCompletionPct: `${Math.floor(nSpawnMs / nTotalET * 10000) / 100}%`,
            totalElapsedMs: nTotalET,
            totalWorkMs: nTotalWorkMs,
            parallelRatio: Math.floor(nTotalET / nTotalWorkMs * 1000) / 1000
        }
    }

    catch (error) {
        console.log(error)
    }
};

Response:
{
  "jobsCount": 3000,
  "spawnCompletionMs": 1879,
  "spawnCompletionPct": "2.91%",
  "totalElapsedMs": 64546,
  "totalWorkMs": 3004205,
  "parallelRatio": 0.021
}

Request ID:
"43f31584-238e-4af9-9c5d-95ccab22ae84"

我是不是碰到了一个我没有提到的不同的极限？我的测试代码中是否存在缺陷？我试图达到3,000个工作者的限制，但是没有遇到任何限制，我猜这是由于异步调用重试行为。

编辑：* 两个Lambda都不涉及VPC;选择输入中的设置为“无VPC”。*
编辑：显示修复前后的Cloudwatch