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"use strict"; // Copyright 2016-2018, Pulumi Corporation. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { if (k2 === undefined) k2 = k; var desc = Object.getOwnPropertyDescriptor(m, k); if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) { desc = { enumerable: true, get: function() { return m[k]; } }; } Object.defineProperty(o, k2, desc); }) : (function(o, m, k, k2) { if (k2 === undefined) k2 = k; o[k2] = m[k]; })); var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { Object.defineProperty(o, "default", { enumerable: true, value: v }); }) : function(o, v) { o["default"] = v; }); var __importStar = (this && this.__importStar) || (function () { var ownKeys = function(o) { ownKeys = Object.getOwnPropertyNames || function (o) { var ar = []; for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k; return ar; }; return ownKeys(o); }; return function (mod) { if (mod && mod.__esModule) return mod; var result = {}; if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]); __setModuleDefault(result, mod); return result; }; })(); Object.defineProperty(exports, "__esModule", { value: true }); exports.metrics = void 0; const cloudwatch = __importStar(require("../cloudwatch")); var metrics; (function (metrics) { /** * Creates an AWS/EFS metric with the requested [metricName]. See * https://docs.aws.amazon.com/efs/latest/ug/monitoring-cloudwatch.html for list of all * metric-names. * * Note, individual metrics can easily be obtained without supplying the name using the other * [metricXXX] functions. * * You can monitor file systems using Amazon CloudWatch, which collects and processes raw data from * Amazon EFS into readable, near real-time metrics. These statistics are recorded for a period of * 15 months, so that you can access historical information and gain a better perspective on how * your web application or service is performing. By default, Amazon EFS metric data is * automatically sent to CloudWatch at 1-minute periods. * * Amazon EFS metrics use the EFS namespace and provides metrics for a single dimension, * "FileSystemId". A file system's ID can be found in the Amazon EFS management console, and it * takes the form of fs-XXXXXXXX. */ function metric(metricName, change = {}) { const dimensions = {}; if (change.fileSystem !== undefined) { dimensions.FileSystemId = change.fileSystem.id; } return new cloudwatch.Metric({ namespace: "AWS/EFS", name: metricName, ...change, }).withDimensions(dimensions); } /** * The number of burst credits that a file system has. * * Burst credits allow a file system to burst to throughput levels above a file system’s * baseline level for periods of time. For more information, see Throughput scaling in Amazon * EFS. * * The Minimum statistic is the smallest burst credit balance for any minute during the period. * The Maximum statistic is the largest burst credit balance for any minute during the period. * The Average statistic is the average burst credit balance during the period. * * Units: Bytes * * Valid statistics: Minimum, Maximum, Average */ function burstCreditBalance(change) { return metric("BurstCreditBalance", { unit: "Bytes", ...change }); } metrics.burstCreditBalance = burstCreditBalance; /** * The number of client connections to a file system. When using a standard client, there is one * connection per mounted Amazon EC2 instance. * * Note: To calculate the average ClientConnections for periods greater than one minute, divide * the Sum statistic by the number of minutes in the period. * * Units: Count of client connections * * Valid statistics: Sum */ function clientConnections(change) { return metric("ClientConnections", { statistic: "Sum", unit: "Count", ...change }); } metrics.clientConnections = clientConnections; /** * The number of bytes for each file system read operation. * * The Sum statistic is the total number of bytes associated with read operations. The Minimum * statistic is the size of the smallest read operation during the period. The Maximum statistic * is the size of the largest read operation during the period. The Average statistic is the * average size of read operations during the period. The SampleCount statistic provides a count * of read operations. * * Units: * * Bytes for Minimum, Maximum, Average, and Sum. * * Count for SampleCount. * * Valid statistics: Minimum, Maximum, Average, Sum, SampleCount */ function dataReadIOBytes(change) { return metric("DataReadIOBytes", { unit: "Bytes", ...change }); } metrics.dataReadIOBytes = dataReadIOBytes; /** * The number of bytes for each file write operation. * * The Sum statistic is the total number of bytes associated with write operations. The Minimum * statistic is the size of the smallest write operation during the period. The Maximum * statistic is the size of the largest write operation during the period. The Average statistic * is the average size of write operations during the period. The SampleCount statistic provides * a count of write operations. * * Units: * * Bytes for Minimum, Maximum, Average, and Sum. * * Count for SampleCount. * * Valid statistics: Minimum, Maximum, Average, Sum, SampleCount */ function dataWriteIOBytes(change) { return metric("DataWriteIOBytes", { unit: "Bytes", ...change }); } metrics.dataWriteIOBytes = dataWriteIOBytes; /** * The number of bytes for each metadata operation. * * The Sum statistic is the total number of bytes associated with metadata operations. The * Minimum statistic is the size of the smallest metadata operation during the period. The * Maximum statistic is the size of the largest metadata operation during the period. The * Average statistic is the size of the average metadata operation during the period. The * SampleCount statistic provides a count of metadata operations. * * Units: * * Bytes for Minimum, Maximum, Average, and Sum. * * Count for SampleCount. * * Valid statistics: Minimum, Maximum, Average, Sum, SampleCount */ function metadataIOBytes(change) { return metric("MetadataIOBytes", { unit: "Bytes", ...change }); } metrics.metadataIOBytes = metadataIOBytes; /** * Shows how close a file system is to reaching the I/O limit of the General Purpose performance * mode. If this metric is at 100% more often than not, consider moving your application to a * file system using the Max I/O performance mode. * * Note: This metric is only submitted for file systems using the General Purpose performance * mode. * * Units: Percent */ function percentIOLimit(change) { return metric("PercentIOLimit", { unit: "Percent", ...change }); } metrics.percentIOLimit = percentIOLimit; /** * The maximum amount of throughput a file system is allowed. For file systems in the * Provisioned Throughput mode, if the amount of storage allows your file system to drive a * higher amount of throughput than you provisioned, this metric will reflect the higher * throughput instead of the provisioned amount. For file systems in the Bursting Throughput * mode, this value is a function of the file system size and BurstCreditBalance. For more * information, see Amazon EFS Performance. * * The Minimum statistic is the smallest throughput permitted for any minute during the period. * The Maximum statistic is the highest throughput permitted for any minute during the period. * The Average statistic is the average throughput permitted during the period. * * Units: Bytes per second * * Valid statistics: Minimum, Maximum, Average */ function permittedThroughput(change) { return metric("PermittedThroughput", { unit: "Bytes/Second", ...change }); } metrics.permittedThroughput = permittedThroughput; /** * The number of bytes for each file system operation, including data read, data write, and * metadata operations. * * The Sum statistic is the total number of bytes associated with all file system operations. * The Minimum statistic is the size of the smallest operation during the period. The Maximum * statistic is the size of the largest operation during the period. The Average statistic is * the average size of an operation during the period. The SampleCount statistic provides a * count of all operations. * * Note: To calculate the average operations per second for a period, divide the SampleCount * statistic by the number of seconds in the period. To calculate the average throughput (Bytes * per second) for a period, divide the Sum statistic by the number of seconds in the period. * * Units: * Bytes for Minimum, Maximum, Average, and Sum statistics. * Count for SampleCount. * * Valid statistics: Minimum, Maximum, Average, Sum, SampleCount */ function totalIOBytes(change) { return metric("TotalIOBytes", { unit: "Percent", ...change }); } metrics.totalIOBytes = totalIOBytes; })(metrics || (exports.metrics = metrics = {})); //# sourceMappingURL=metrics.js.map