文档 AWS SDK 示例 GitHub 存储库中还有更多 S AWS DK 示例
本文属于机器翻译版本。若本译文内容与英语原文存在差异,则一律以英文原文为准。
CloudWatch 使用 Kotlin 开发工具包的示例
以下代码示例向您展示了如何使用适用于 Kotlin 的 AWS SDK 来执行操作和实现常见场景。 CloudWatch
基础知识是向您展示如何在服务中执行基本操作的代码示例。
操作是大型程序的代码摘录,必须在上下文中运行。您可以通过操作了解如何调用单个服务函数,还可以通过函数相关场景的上下文查看操作。
每个示例都包含一个指向完整源代码的链接,您可以从中找到有关如何在上下文中设置和运行代码的说明。
开始使用
以下代码示例展示了如何开始使用 CloudWatch。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 /** Before running this Kotlin code example, set up your development environment, including your credentials. For more information, see the following documentation topic: https://docs.aws.amazon.com/sdk-for-kotlin/latest/developer-guide/setup.html */ suspend fun main(args: Array<String>) { val usage = """ Usage: <namespace> Where: namespace - The namespace to filter against (for example, AWS/EC2). """ if (args.size != 1) { println(usage) exitProcess(0) } val namespace = args[0] listAllMets(namespace) } suspend fun listAllMets(namespaceVal: String?) { val request = ListMetricsRequest { namespace = namespaceVal } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient .listMetricsPaginated(request) .transform { it.metrics?.forEach { obj -> emit(obj) } } .collect { obj -> println("Name is ${obj.metricName}") println("Namespace is ${obj.namespace}") } } }
-
有关 API 的详细信息,请参阅适用ListMetrics
于 K otlin 的AWS SDK API 参考。
-
基本功能
以下代码示例展示了如何:
列出 CloudWatch 命名空间和指标。
获取指标和预估账单的统计数据。
创建和更新控制面板。
创建数据并将数据添加到指标。
创建并触发告警,然后查看告警历史记录。
添加异常检测器
获取指标映像,然后清理资源。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 运行演示 CloudWatch 功能的交互式场景。
/** Before running this Kotlin code example, set up your development environment, including your credentials. For more information, see the following documentation topic: https://docs.aws.amazon.com/sdk-for-kotlin/latest/developer-guide/setup.html To enable billing metrics and statistics for this example, make sure billing alerts are enabled for your account: https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/monitor_estimated_charges_with_cloudwatch.html#turning_on_billing_metrics This Kotlin code example performs the following tasks: 1. List available namespaces from Amazon CloudWatch. Select a namespace from the list. 2. List available metrics within the selected namespace. 3. Get statistics for the selected metric over the last day. 4. Get CloudWatch estimated billing for the last week. 5. Create a new CloudWatch dashboard with metrics. 6. List dashboards using a paginator. 7. Create a new custom metric by adding data for it. 8. Add the custom metric to the dashboard. 9. Create an alarm for the custom metric. 10. Describe current alarms. 11. Get current data for the new custom metric. 12. Push data into the custom metric to trigger the alarm. 13. Check the alarm state using the action DescribeAlarmsForMetric. 14. Get alarm history for the new alarm. 15. Add an anomaly detector for the custom metric. 16. Describe current anomaly detectors. 17. Get a metric image for the custom metric. 18. Clean up the Amazon CloudWatch resources. */ val DASHES: String? = String(CharArray(80)).replace("\u0000", "-") suspend fun main(args: Array<String>) { val usage = """ Usage: <myDate> <costDateWeek> <dashboardName> <dashboardJson> <dashboardAdd> <settings> <metricImage> Where: myDate - The start date to use to get metric statistics. (For example, 2023-01-11T18:35:24.00Z.) costDateWeek - The start date to use to get AWS Billing and Cost Management statistics. (For example, 2023-01-11T18:35:24.00Z.) dashboardName - The name of the dashboard to create. dashboardJson - The location of a JSON file to use to create a dashboard. (See Readme file.) dashboardAdd - The location of a JSON file to use to update a dashboard. (See Readme file.) settings - The location of a JSON file from which various values are read. (See Readme file.) metricImage - The location of a BMP file that is used to create a graph. """ if (args.size != 7) { println(usage) System.exit(1) } val myDate = args[0] val costDateWeek = args[1] val dashboardName = args[2] val dashboardJson = args[3] val dashboardAdd = args[4] val settings = args[5] var metricImage = args[6] val dataPoint = "10.0".toDouble() val inOb = Scanner(System.`in`) println(DASHES) println("Welcome to the Amazon CloudWatch example scenario.") println(DASHES) println(DASHES) println("1. List at least five available unique namespaces from Amazon CloudWatch. Select a CloudWatch namespace from the list.") val list: ArrayList<String> = listNameSpaces() for (z in 0..4) { println(" ${z + 1}. ${list[z]}") } var selectedNamespace: String var selectedMetrics = "" var num = inOb.nextLine().toInt() println("You selected $num") if (1 <= num && num <= 5) { selectedNamespace = list[num - 1] } else { println("You did not select a valid option.") exitProcess(1) } println("You selected $selectedNamespace") println(DASHES) println(DASHES) println("2. List available metrics within the selected namespace and select one from the list.") val metList = listMets(selectedNamespace) for (z in 0..4) { println(" ${ z + 1}. ${metList?.get(z)}") } num = inOb.nextLine().toInt() if (1 <= num && num <= 5) { selectedMetrics = metList!![num - 1] } else { println("You did not select a valid option.") System.exit(1) } println("You selected $selectedMetrics") val myDimension = getSpecificMet(selectedNamespace) if (myDimension == null) { println("Error - Dimension is null") exitProcess(1) } println(DASHES) println(DASHES) println("3. Get statistics for the selected metric over the last day.") val metricOption: String val statTypes = ArrayList<String>() statTypes.add("SampleCount") statTypes.add("Average") statTypes.add("Sum") statTypes.add("Minimum") statTypes.add("Maximum") for (t in 0..4) { println(" ${t + 1}. ${statTypes[t]}") } println("Select a metric statistic by entering a number from the preceding list:") num = inOb.nextLine().toInt() if (1 <= num && num <= 5) { metricOption = statTypes[num - 1] } else { println("You did not select a valid option.") exitProcess(1) } println("You selected $metricOption") getAndDisplayMetricStatistics(selectedNamespace, selectedMetrics, metricOption, myDate, myDimension) println(DASHES) println(DASHES) println("4. Get CloudWatch estimated billing for the last week.") getMetricStatistics(costDateWeek) println(DASHES) println(DASHES) println("5. Create a new CloudWatch dashboard with metrics.") createDashboardWithMetrics(dashboardName, dashboardJson) println(DASHES) println(DASHES) println("6. List dashboards using a paginator.") listDashboards() println(DASHES) println(DASHES) println("7. Create a new custom metric by adding data to it.") createNewCustomMetric(dataPoint) println(DASHES) println(DASHES) println("8. Add an additional metric to the dashboard.") addMetricToDashboard(dashboardAdd, dashboardName) println(DASHES) println(DASHES) println("9. Create an alarm for the custom metric.") val alarmName: String = createAlarm(settings) println(DASHES) println(DASHES) println("10. Describe 10 current alarms.") describeAlarms() println(DASHES) println(DASHES) println("11. Get current data for the new custom metric.") getCustomMetricData(settings) println(DASHES) println(DASHES) println("12. Push data into the custom metric to trigger the alarm.") addMetricDataForAlarm(settings) println(DASHES) println(DASHES) println("13. Check the alarm state using the action DescribeAlarmsForMetric.") checkForMetricAlarm(settings) println(DASHES) println(DASHES) println("14. Get alarm history for the new alarm.") getAlarmHistory(settings, myDate) println(DASHES) println(DASHES) println("15. Add an anomaly detector for the custom metric.") addAnomalyDetector(settings) println(DASHES) println(DASHES) println("16. Describe current anomaly detectors.") describeAnomalyDetectors(settings) println(DASHES) println(DASHES) println("17. Get a metric image for the custom metric.") getAndOpenMetricImage(metricImage) println(DASHES) println(DASHES) println("18. Clean up the Amazon CloudWatch resources.") deleteDashboard(dashboardName) deleteAlarm(alarmName) deleteAnomalyDetector(settings) println(DASHES) println(DASHES) println("The Amazon CloudWatch example scenario is complete.") println(DASHES) } suspend fun deleteAnomalyDetector(fileName: String) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() val singleMetricAnomalyDetectorVal = SingleMetricAnomalyDetector { metricName = customMetricName namespace = customMetricNamespace stat = "Maximum" } val request = DeleteAnomalyDetectorRequest { singleMetricAnomalyDetector = singleMetricAnomalyDetectorVal } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.deleteAnomalyDetector(request) println("Successfully deleted the Anomaly Detector.") } } suspend fun deleteAlarm(alarmNameVal: String) { val request = DeleteAlarmsRequest { alarmNames = listOf(alarmNameVal) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.deleteAlarms(request) println("Successfully deleted alarm $alarmNameVal") } } suspend fun deleteDashboard(dashboardName: String) { val dashboardsRequest = DeleteDashboardsRequest { dashboardNames = listOf(dashboardName) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.deleteDashboards(dashboardsRequest) println("$dashboardName was successfully deleted.") } } suspend fun getAndOpenMetricImage(fileName: String) { println("Getting Image data for custom metric.") val myJSON = """{ "title": "Example Metric Graph", "view": "timeSeries", "stacked ": false, "period": 10, "width": 1400, "height": 600, "metrics": [ [ "AWS/Billing", "EstimatedCharges", "Currency", "USD" ] ] }""" val imageRequest = GetMetricWidgetImageRequest { metricWidget = myJSON } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.getMetricWidgetImage(imageRequest) val bytes = response.metricWidgetImage if (bytes != null) { File(fileName).writeBytes(bytes) } } println("You have successfully written data to $fileName") } suspend fun describeAnomalyDetectors(fileName: String) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() val detectorsRequest = DescribeAnomalyDetectorsRequest { maxResults = 10 metricName = customMetricName namespace = customMetricNamespace } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.describeAnomalyDetectors(detectorsRequest) response.anomalyDetectors?.forEach { detector -> println("Metric name: ${detector.singleMetricAnomalyDetector?.metricName}") println("State: ${detector.stateValue}") } } } suspend fun addAnomalyDetector(fileName: String?) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() val singleMetricAnomalyDetectorVal = SingleMetricAnomalyDetector { metricName = customMetricName namespace = customMetricNamespace stat = "Maximum" } val anomalyDetectorRequest = PutAnomalyDetectorRequest { singleMetricAnomalyDetector = singleMetricAnomalyDetectorVal } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.putAnomalyDetector(anomalyDetectorRequest) println("Added anomaly detector for metric $customMetricName.") } } suspend fun getAlarmHistory( fileName: String, date: String, ) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val alarmNameVal = rootNode.findValue("exampleAlarmName").asText() val start = Instant.parse(date) val endDateVal = Instant.now() val historyRequest = DescribeAlarmHistoryRequest { startDate = aws.smithy.kotlin.runtime.time .Instant(start) endDate = aws.smithy.kotlin.runtime.time .Instant(endDateVal) alarmName = alarmNameVal historyItemType = HistoryItemType.Action } CloudWatchClient { credentialsProvider = EnvironmentCredentialsProvider() region = "us-east-1" }.use { cwClient -> val response = cwClient.describeAlarmHistory(historyRequest) val historyItems = response.alarmHistoryItems if (historyItems != null) { if (historyItems.isEmpty()) { println("No alarm history data found for $alarmNameVal.") } else { for (item in historyItems) { println("History summary ${item.historySummary}") println("Time stamp: ${item.timestamp}") } } } } } suspend fun checkForMetricAlarm(fileName: String?) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() var hasAlarm = false var retries = 10 val metricRequest = DescribeAlarmsForMetricRequest { metricName = customMetricName namespace = customMetricNamespace } CloudWatchClient { region = "us-east-1" }.use { cwClient -> while (!hasAlarm && retries > 0) { val response = cwClient.describeAlarmsForMetric(metricRequest) if (response.metricAlarms?.count()!! > 0) { hasAlarm = true } retries-- delay(20000) println(".") } if (!hasAlarm) { println("No Alarm state found for $customMetricName after 10 retries.") } else { println("Alarm state found for $customMetricName.") } } } suspend fun addMetricDataForAlarm(fileName: String?) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() // Set an Instant object. val time = ZonedDateTime.now(ZoneOffset.UTC).format(DateTimeFormatter.ISO_INSTANT) val instant = Instant.parse(time) val datum = MetricDatum { metricName = customMetricName unit = StandardUnit.None value = 1001.00 timestamp = aws.smithy.kotlin.runtime.time .Instant(instant) } val datum2 = MetricDatum { metricName = customMetricName unit = StandardUnit.None value = 1002.00 timestamp = aws.smithy.kotlin.runtime.time .Instant(instant) } val metricDataList = ArrayList<MetricDatum>() metricDataList.add(datum) metricDataList.add(datum2) val request = PutMetricDataRequest { namespace = customMetricNamespace metricData = metricDataList } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.putMetricData(request) println("Added metric values for for metric $customMetricName") } } suspend fun getCustomMetricData(fileName: String) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() // Set the date. val nowDate = Instant.now() val hours: Long = 1 val minutes: Long = 30 val date2 = nowDate.plus(hours, ChronoUnit.HOURS).plus( minutes, ChronoUnit.MINUTES, ) val met = Metric { metricName = customMetricName namespace = customMetricNamespace } val metStat = MetricStat { stat = "Maximum" period = 1 metric = met } val dataQUery = MetricDataQuery { metricStat = metStat id = "foo2" returnData = true } val dq = ArrayList<MetricDataQuery>() dq.add(dataQUery) val getMetReq = GetMetricDataRequest { maxDatapoints = 10 scanBy = ScanBy.TimestampDescending startTime = aws.smithy.kotlin.runtime.time .Instant(nowDate) endTime = aws.smithy.kotlin.runtime.time .Instant(date2) metricDataQueries = dq } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.getMetricData(getMetReq) response.metricDataResults?.forEach { item -> println("The label is ${item.label}") println("The status code is ${item.statusCode}") } } } suspend fun describeAlarms() { val typeList = ArrayList<AlarmType>() typeList.add(AlarmType.MetricAlarm) val alarmsRequest = DescribeAlarmsRequest { alarmTypes = typeList maxRecords = 10 } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.describeAlarms(alarmsRequest) response.metricAlarms?.forEach { alarm -> println("Alarm name: ${alarm.alarmName}") println("Alarm description: ${alarm.alarmDescription}") } } } suspend fun createAlarm(fileName: String): String { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode: JsonNode = ObjectMapper().readTree(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() val alarmNameVal = rootNode.findValue("exampleAlarmName").asText() val emailTopic = rootNode.findValue("emailTopic").asText() val accountId = rootNode.findValue("accountId").asText() val region2 = rootNode.findValue("region").asText() // Create a List for alarm actions. val alarmActionObs: MutableList<String> = ArrayList() alarmActionObs.add("arn:aws:sns:$region2:$accountId:$emailTopic") val alarmRequest = PutMetricAlarmRequest { alarmActions = alarmActionObs alarmDescription = "Example metric alarm" alarmName = alarmNameVal comparisonOperator = ComparisonOperator.GreaterThanOrEqualToThreshold threshold = 100.00 metricName = customMetricName namespace = customMetricNamespace evaluationPeriods = 1 period = 10 statistic = Statistic.Maximum datapointsToAlarm = 1 treatMissingData = "ignore" } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.putMetricAlarm(alarmRequest) println("$alarmNameVal was successfully created!") return alarmNameVal } } suspend fun addMetricToDashboard( fileNameVal: String, dashboardNameVal: String, ) { val dashboardRequest = PutDashboardRequest { dashboardName = dashboardNameVal dashboardBody = readFileAsString(fileNameVal) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.putDashboard(dashboardRequest) println("$dashboardNameVal was successfully updated.") } } suspend fun createNewCustomMetric(dataPoint: Double) { val dimension = Dimension { name = "UNIQUE_PAGES" value = "URLS" } // Set an Instant object. val time = ZonedDateTime.now(ZoneOffset.UTC).format(DateTimeFormatter.ISO_INSTANT) val instant = Instant.parse(time) val datum = MetricDatum { metricName = "PAGES_VISITED" unit = StandardUnit.None value = dataPoint timestamp = aws.smithy.kotlin.runtime.time .Instant(instant) dimensions = listOf(dimension) } val request = PutMetricDataRequest { namespace = "SITE/TRAFFIC" metricData = listOf(datum) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.putMetricData(request) println("Added metric values for for metric PAGES_VISITED") } } suspend fun listDashboards() { CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient .listDashboardsPaginated({}) .transform { it.dashboardEntries?.forEach { obj -> emit(obj) } } .collect { obj -> println("Name is ${obj.dashboardName}") println("Dashboard ARN is ${obj.dashboardArn}") } } } suspend fun createDashboardWithMetrics( dashboardNameVal: String, fileNameVal: String, ) { val dashboardRequest = PutDashboardRequest { dashboardName = dashboardNameVal dashboardBody = readFileAsString(fileNameVal) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.putDashboard(dashboardRequest) println("$dashboardNameVal was successfully created.") val messages = response.dashboardValidationMessages if (messages != null) { if (messages.isEmpty()) { println("There are no messages in the new Dashboard") } else { for (message in messages) { println("Message is: ${message.message}") } } } } } fun readFileAsString(file: String): String = String(Files.readAllBytes(Paths.get(file))) suspend fun getMetricStatistics(costDateWeek: String?) { val start = Instant.parse(costDateWeek) val endDate = Instant.now() val dimension = Dimension { name = "Currency" value = "USD" } val dimensionList: MutableList<Dimension> = ArrayList() dimensionList.add(dimension) val statisticsRequest = GetMetricStatisticsRequest { metricName = "EstimatedCharges" namespace = "AWS/Billing" dimensions = dimensionList statistics = listOf(Statistic.Maximum) startTime = aws.smithy.kotlin.runtime.time .Instant(start) endTime = aws.smithy.kotlin.runtime.time .Instant(endDate) period = 86400 } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.getMetricStatistics(statisticsRequest) val data: List<Datapoint>? = response.datapoints if (data != null) { if (!data.isEmpty()) { for (datapoint in data) { println("Timestamp: ${datapoint.timestamp} Maximum value: ${datapoint.maximum}") } } else { println("The returned data list is empty") } } } } suspend fun getAndDisplayMetricStatistics( nameSpaceVal: String, metVal: String, metricOption: String, date: String, myDimension: Dimension, ) { val start = Instant.parse(date) val endDate = Instant.now() val statisticsRequest = GetMetricStatisticsRequest { endTime = aws.smithy.kotlin.runtime.time .Instant(endDate) startTime = aws.smithy.kotlin.runtime.time .Instant(start) dimensions = listOf(myDimension) metricName = metVal namespace = nameSpaceVal period = 86400 statistics = listOf(Statistic.fromValue(metricOption)) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.getMetricStatistics(statisticsRequest) val data = response.datapoints if (data != null) { if (data.isNotEmpty()) { for (datapoint in data) { println("Timestamp: ${datapoint.timestamp} Maximum value: ${datapoint.maximum}") } } else { println("The returned data list is empty") } } } } suspend fun listMets(namespaceVal: String?): ArrayList<String>? { val metList = ArrayList<String>() val request = ListMetricsRequest { namespace = namespaceVal } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val reponse = cwClient.listMetrics(request) reponse.metrics?.forEach { metrics -> val data = metrics.metricName if (!metList.contains(data)) { metList.add(data!!) } } } return metList } suspend fun getSpecificMet(namespaceVal: String?): Dimension? { val request = ListMetricsRequest { namespace = namespaceVal } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.listMetrics(request) val myList = response.metrics if (myList != null) { return myList[0].dimensions?.get(0) } } return null } suspend fun listNameSpaces(): ArrayList<String> { val nameSpaceList = ArrayList<String>() CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.listMetrics(ListMetricsRequest {}) response.metrics?.forEach { metrics -> val data = metrics.namespace if (!nameSpaceList.contains(data)) { nameSpaceList.add(data!!) } } } return nameSpaceList }
-
有关 API 详细信息,请参阅《AWS SDK for Kotlin API 参考》中的以下主题。
-
操作
以下代码示例演示如何使用 DeleteAlarms
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun deleteAlarm(alarmNameVal: String) { val request = DeleteAlarmsRequest { alarmNames = listOf(alarmNameVal) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.deleteAlarms(request) println("Successfully deleted alarm $alarmNameVal") } }
-
有关 API 的详细信息,请参阅适用DeleteAlarms
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 DeleteAnomalyDetector
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun deleteAnomalyDetector(fileName: String) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() val singleMetricAnomalyDetectorVal = SingleMetricAnomalyDetector { metricName = customMetricName namespace = customMetricNamespace stat = "Maximum" } val request = DeleteAnomalyDetectorRequest { singleMetricAnomalyDetector = singleMetricAnomalyDetectorVal } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.deleteAnomalyDetector(request) println("Successfully deleted the Anomaly Detector.") } }
-
有关 API 的详细信息,请参阅适用DeleteAnomalyDetector
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 DeleteDashboards
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun deleteDashboard(dashboardName: String) { val dashboardsRequest = DeleteDashboardsRequest { dashboardNames = listOf(dashboardName) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.deleteDashboards(dashboardsRequest) println("$dashboardName was successfully deleted.") } }
-
有关 API 的详细信息,请参阅适用DeleteDashboards
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 DescribeAlarmHistory
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun getAlarmHistory( fileName: String, date: String, ) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val alarmNameVal = rootNode.findValue("exampleAlarmName").asText() val start = Instant.parse(date) val endDateVal = Instant.now() val historyRequest = DescribeAlarmHistoryRequest { startDate = aws.smithy.kotlin.runtime.time .Instant(start) endDate = aws.smithy.kotlin.runtime.time .Instant(endDateVal) alarmName = alarmNameVal historyItemType = HistoryItemType.Action } CloudWatchClient { credentialsProvider = EnvironmentCredentialsProvider() region = "us-east-1" }.use { cwClient -> val response = cwClient.describeAlarmHistory(historyRequest) val historyItems = response.alarmHistoryItems if (historyItems != null) { if (historyItems.isEmpty()) { println("No alarm history data found for $alarmNameVal.") } else { for (item in historyItems) { println("History summary ${item.historySummary}") println("Time stamp: ${item.timestamp}") } } } } }
-
有关 API 的详细信息,请参阅适用DescribeAlarmHistory
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 DescribeAlarms
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun describeAlarms() { val typeList = ArrayList<AlarmType>() typeList.add(AlarmType.MetricAlarm) val alarmsRequest = DescribeAlarmsRequest { alarmTypes = typeList maxRecords = 10 } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.describeAlarms(alarmsRequest) response.metricAlarms?.forEach { alarm -> println("Alarm name: ${alarm.alarmName}") println("Alarm description: ${alarm.alarmDescription}") } } }
-
有关 API 的详细信息,请参阅适用DescribeAlarms
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 DescribeAlarmsForMetric
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun checkForMetricAlarm(fileName: String?) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() var hasAlarm = false var retries = 10 val metricRequest = DescribeAlarmsForMetricRequest { metricName = customMetricName namespace = customMetricNamespace } CloudWatchClient { region = "us-east-1" }.use { cwClient -> while (!hasAlarm && retries > 0) { val response = cwClient.describeAlarmsForMetric(metricRequest) if (response.metricAlarms?.count()!! > 0) { hasAlarm = true } retries-- delay(20000) println(".") } if (!hasAlarm) { println("No Alarm state found for $customMetricName after 10 retries.") } else { println("Alarm state found for $customMetricName.") } } }
-
有关 API 的详细信息,请参阅适用DescribeAlarmsForMetric
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 DescribeAnomalyDetectors
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun describeAnomalyDetectors(fileName: String) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() val detectorsRequest = DescribeAnomalyDetectorsRequest { maxResults = 10 metricName = customMetricName namespace = customMetricNamespace } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.describeAnomalyDetectors(detectorsRequest) response.anomalyDetectors?.forEach { detector -> println("Metric name: ${detector.singleMetricAnomalyDetector?.metricName}") println("State: ${detector.stateValue}") } } }
-
有关 API 的详细信息,请参阅适用DescribeAnomalyDetectors
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 DisableAlarmActions
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun disableActions(alarmName: String) { val request = DisableAlarmActionsRequest { alarmNames = listOf(alarmName) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.disableAlarmActions(request) println("Successfully disabled actions on alarm $alarmName") } }
-
有关 API 的详细信息,请参阅适用DisableAlarmActions
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 EnableAlarmActions
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun enableActions(alarm: String) { val request = EnableAlarmActionsRequest { alarmNames = listOf(alarm) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.enableAlarmActions(request) println("Successfully enabled actions on alarm $alarm") } }
-
有关 API 的详细信息,请参阅适用EnableAlarmActions
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 GetMetricData
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun getCustomMetricData(fileName: String) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() // Set the date. val nowDate = Instant.now() val hours: Long = 1 val minutes: Long = 30 val date2 = nowDate.plus(hours, ChronoUnit.HOURS).plus( minutes, ChronoUnit.MINUTES, ) val met = Metric { metricName = customMetricName namespace = customMetricNamespace } val metStat = MetricStat { stat = "Maximum" period = 1 metric = met } val dataQUery = MetricDataQuery { metricStat = metStat id = "foo2" returnData = true } val dq = ArrayList<MetricDataQuery>() dq.add(dataQUery) val getMetReq = GetMetricDataRequest { maxDatapoints = 10 scanBy = ScanBy.TimestampDescending startTime = aws.smithy.kotlin.runtime.time .Instant(nowDate) endTime = aws.smithy.kotlin.runtime.time .Instant(date2) metricDataQueries = dq } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.getMetricData(getMetReq) response.metricDataResults?.forEach { item -> println("The label is ${item.label}") println("The status code is ${item.statusCode}") } } }
-
有关 API 的详细信息,请参阅适用GetMetricData
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 GetMetricStatistics
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun getAndDisplayMetricStatistics( nameSpaceVal: String, metVal: String, metricOption: String, date: String, myDimension: Dimension, ) { val start = Instant.parse(date) val endDate = Instant.now() val statisticsRequest = GetMetricStatisticsRequest { endTime = aws.smithy.kotlin.runtime.time .Instant(endDate) startTime = aws.smithy.kotlin.runtime.time .Instant(start) dimensions = listOf(myDimension) metricName = metVal namespace = nameSpaceVal period = 86400 statistics = listOf(Statistic.fromValue(metricOption)) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.getMetricStatistics(statisticsRequest) val data = response.datapoints if (data != null) { if (data.isNotEmpty()) { for (datapoint in data) { println("Timestamp: ${datapoint.timestamp} Maximum value: ${datapoint.maximum}") } } else { println("The returned data list is empty") } } } }
-
有关 API 的详细信息,请参阅适用GetMetricStatistics
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 GetMetricWidgetImage
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun getAndOpenMetricImage(fileName: String) { println("Getting Image data for custom metric.") val myJSON = """{ "title": "Example Metric Graph", "view": "timeSeries", "stacked ": false, "period": 10, "width": 1400, "height": 600, "metrics": [ [ "AWS/Billing", "EstimatedCharges", "Currency", "USD" ] ] }""" val imageRequest = GetMetricWidgetImageRequest { metricWidget = myJSON } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.getMetricWidgetImage(imageRequest) val bytes = response.metricWidgetImage if (bytes != null) { File(fileName).writeBytes(bytes) } } println("You have successfully written data to $fileName") }
-
有关 API 的详细信息,请参阅适用GetMetricWidgetImage
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 ListDashboards
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun listDashboards() { CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient .listDashboardsPaginated({}) .transform { it.dashboardEntries?.forEach { obj -> emit(obj) } } .collect { obj -> println("Name is ${obj.dashboardName}") println("Dashboard ARN is ${obj.dashboardArn}") } } }
-
有关 API 的详细信息,请参阅适用ListDashboards
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 ListMetrics
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun listMets(namespaceVal: String?): ArrayList<String>? { val metList = ArrayList<String>() val request = ListMetricsRequest { namespace = namespaceVal } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val reponse = cwClient.listMetrics(request) reponse.metrics?.forEach { metrics -> val data = metrics.metricName if (!metList.contains(data)) { metList.add(data!!) } } } return metList }
-
有关 API 的详细信息,请参阅适用ListMetrics
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 PutAnomalyDetector
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun addAnomalyDetector(fileName: String?) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() val singleMetricAnomalyDetectorVal = SingleMetricAnomalyDetector { metricName = customMetricName namespace = customMetricNamespace stat = "Maximum" } val anomalyDetectorRequest = PutAnomalyDetectorRequest { singleMetricAnomalyDetector = singleMetricAnomalyDetectorVal } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.putAnomalyDetector(anomalyDetectorRequest) println("Added anomaly detector for metric $customMetricName.") } }
-
有关 API 的详细信息,请参阅适用PutAnomalyDetector
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 PutDashboard
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun createDashboardWithMetrics( dashboardNameVal: String, fileNameVal: String, ) { val dashboardRequest = PutDashboardRequest { dashboardName = dashboardNameVal dashboardBody = readFileAsString(fileNameVal) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> val response = cwClient.putDashboard(dashboardRequest) println("$dashboardNameVal was successfully created.") val messages = response.dashboardValidationMessages if (messages != null) { if (messages.isEmpty()) { println("There are no messages in the new Dashboard") } else { for (message in messages) { println("Message is: ${message.message}") } } } } }
-
有关 API 的详细信息,请参阅适用PutDashboard
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 PutMetricAlarm
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun putMetricAlarm( alarmNameVal: String, instanceIdVal: String, ) { val dimensionOb = Dimension { name = "InstanceId" value = instanceIdVal } val request = PutMetricAlarmRequest { alarmName = alarmNameVal comparisonOperator = ComparisonOperator.GreaterThanThreshold evaluationPeriods = 1 metricName = "CPUUtilization" namespace = "AWS/EC2" period = 60 statistic = Statistic.fromValue("Average") threshold = 70.0 actionsEnabled = false alarmDescription = "An Alarm created by the Kotlin SDK when server CPU utilization exceeds 70%" unit = StandardUnit.fromValue("Seconds") dimensions = listOf(dimensionOb) } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.putMetricAlarm(request) println("Successfully created an alarm with name $alarmNameVal") } }
-
有关 API 的详细信息,请参阅适用PutMetricAlarm
于 K otlin 的AWS SDK API 参考。
-
以下代码示例演示如何使用 PutMetricData
。
- 适用于 Kotlin 的 SDK
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun addMetricDataForAlarm(fileName: String?) { // Read values from the JSON file. val parser = JsonFactory().createParser(File(fileName)) val rootNode = ObjectMapper().readTree<JsonNode>(parser) val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText() val customMetricName = rootNode.findValue("customMetricName").asText() // Set an Instant object. val time = ZonedDateTime.now(ZoneOffset.UTC).format(DateTimeFormatter.ISO_INSTANT) val instant = Instant.parse(time) val datum = MetricDatum { metricName = customMetricName unit = StandardUnit.None value = 1001.00 timestamp = aws.smithy.kotlin.runtime.time .Instant(instant) } val datum2 = MetricDatum { metricName = customMetricName unit = StandardUnit.None value = 1002.00 timestamp = aws.smithy.kotlin.runtime.time .Instant(instant) } val metricDataList = ArrayList<MetricDatum>() metricDataList.add(datum) metricDataList.add(datum2) val request = PutMetricDataRequest { namespace = customMetricNamespace metricData = metricDataList } CloudWatchClient { region = "us-east-1" }.use { cwClient -> cwClient.putMetricData(request) println("Added metric values for for metric $customMetricName") } }
-
有关 API 的详细信息,请参阅适用PutMetricData
于 K otlin 的AWS SDK API 参考。
-