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update_memory_for_lambda_functions.js
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update_memory_for_lambda_functions.js
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/**
* Setting proper memory for lambda functions is important as it will have direct
* impact on the performance and cost.
*
* We can use this script to set memory for all our Lambda functions at once.
*/
const awsConfigHelper = require('./util/awsConfigHelper');
const wait = require('./util/wait');
const AWS = require('aws-sdk');
const cli = require('cli');
const cliArgs = cli.parse({
region: ['r', 'AWS region', 'string'],
filterName: ['f', 'Pass filter name to filter Lambda functions', 'string'],
memory: ['m', 'Function memory in MB', 'number', 128]
});
if (!cliArgs.region) {
cli.getUsage();
}
const filterRegex = new RegExp(cliArgs.filterName);
let isCompleted = false;
let nextToken = undefined;
async function setFunctionMemory() {
await awsConfigHelper.updateConfig(cliArgs.region);
const lambda = new AWS.Lambda();
while (!isCompleted) {
try {
const response = await lambda.listFunctions({
Marker: nextToken
}).promise();
if (response.Functions) {
for (let i = 0; i < response.Functions.length; i++) {
const fn = response.Functions[i];
if (fn.MemorySize === cliArgs.memory) {
continue;
}
if (cliArgs.filterName && !fn.FunctionName.match(filterRegex)) {
continue;
}
console.log(`Setting memory ${cliArgs.memory} MB for function: ${fn.FunctionName}`);
await lambda.updateFunctionConfiguration({
FunctionName: fn.FunctionName,
MemorySize: cliArgs.memory
}).promise();
await wait(500);
}
nextToken = response.NextMarker;
isCompleted = !nextToken;
} else {
isCompleted = true
}
} catch (error) {
if (error.code === 'ThrottlingException') {
await wait(2000);
} else {
throw error;
}
}
}
}
setFunctionMemory();