Ada lebih banyak AWS SDK contoh yang tersedia di GitHub repo SDKContoh AWS Dokumen
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CloudWatch contoh menggunakan SDK untuk Python (Boto3)
Contoh kode berikut menunjukkan cara melakukan tindakan dan mengimplementasikan skenario umum dengan menggunakan AWS SDK for Python (Boto3) with CloudWatch.
Tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Sementara tindakan menunjukkan cara memanggil fungsi layanan individual, Anda dapat melihat tindakan dalam konteks dalam skenario terkait.
Skenario adalah contoh kode yang menunjukkan kepada Anda bagaimana menyelesaikan tugas tertentu dengan memanggil beberapa fungsi dalam layanan atau dikombinasikan dengan yang lain Layanan AWS.
Setiap contoh menyertakan tautan ke kode sumber lengkap, di mana Anda dapat menemukan instruksi tentang cara mengatur dan menjalankan kode dalam konteks.
Tindakan
Contoh kode berikut menunjukkan cara menggunakanDeleteAlarms
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- SDKuntuk Python (Boto3)
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catatan
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara pengaturan dan menjalankannya di Repositori Contoh Kode AWS
. class CloudWatchWrapper: """Encapsulates Amazon CloudWatch functions.""" def __init__(self, cloudwatch_resource): """ :param cloudwatch_resource: A Boto3 CloudWatch resource. """ self.cloudwatch_resource = cloudwatch_resource def delete_metric_alarms(self, metric_namespace, metric_name): """ Deletes all of the alarms that are currently watching the specified metric. :param metric_namespace: The namespace of the metric. :param metric_name: The name of the metric. """ try: metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name) metric.alarms.delete() logger.info( "Deleted alarms for metric %s.%s.", metric_namespace, metric_name ) except ClientError: logger.exception( "Couldn't delete alarms for metric %s.%s.", metric_namespace, metric_name, ) raise
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Untuk API detailnya, lihat DeleteAlarms AWSSDKReferensi Python (Boto3). API
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Contoh kode berikut menunjukkan cara menggunakanDescribeAlarmsForMetric
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- SDKuntuk Python (Boto3)
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catatan
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara pengaturan dan menjalankannya di Repositori Contoh Kode AWS
. class CloudWatchWrapper: """Encapsulates Amazon CloudWatch functions.""" def __init__(self, cloudwatch_resource): """ :param cloudwatch_resource: A Boto3 CloudWatch resource. """ self.cloudwatch_resource = cloudwatch_resource def get_metric_alarms(self, metric_namespace, metric_name): """ Gets the alarms that are currently watching the specified metric. :param metric_namespace: The namespace of the metric. :param metric_name: The name of the metric. :returns: An iterator that yields the alarms. """ metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name) alarm_iter = metric.alarms.all() logger.info("Got alarms for metric %s.%s.", metric_namespace, metric_name) return alarm_iter
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Untuk API detailnya, lihat DescribeAlarmsForMetric AWSSDKReferensi Python (Boto3). API
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Contoh kode berikut menunjukkan cara menggunakanDisableAlarmActions
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- SDKuntuk Python (Boto3)
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catatan
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara pengaturan dan menjalankannya di Repositori Contoh Kode AWS
. class CloudWatchWrapper: """Encapsulates Amazon CloudWatch functions.""" def __init__(self, cloudwatch_resource): """ :param cloudwatch_resource: A Boto3 CloudWatch resource. """ self.cloudwatch_resource = cloudwatch_resource def enable_alarm_actions(self, alarm_name, enable): """ Enables or disables actions on the specified alarm. Alarm actions can be used to send notifications or automate responses when an alarm enters a particular state. :param alarm_name: The name of the alarm. :param enable: When True, actions are enabled for the alarm. Otherwise, they disabled. """ try: alarm = self.cloudwatch_resource.Alarm(alarm_name) if enable: alarm.enable_actions() else: alarm.disable_actions() logger.info( "%s actions for alarm %s.", "Enabled" if enable else "Disabled", alarm_name, ) except ClientError: logger.exception( "Couldn't %s actions alarm %s.", "enable" if enable else "disable", alarm_name, ) raise
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Untuk API detailnya, lihat DisableAlarmActions AWSSDKReferensi Python (Boto3). API
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Contoh kode berikut menunjukkan cara menggunakanEnableAlarmActions
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- SDKuntuk Python (Boto3)
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catatan
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara pengaturan dan menjalankannya di Repositori Contoh Kode AWS
. class CloudWatchWrapper: """Encapsulates Amazon CloudWatch functions.""" def __init__(self, cloudwatch_resource): """ :param cloudwatch_resource: A Boto3 CloudWatch resource. """ self.cloudwatch_resource = cloudwatch_resource def enable_alarm_actions(self, alarm_name, enable): """ Enables or disables actions on the specified alarm. Alarm actions can be used to send notifications or automate responses when an alarm enters a particular state. :param alarm_name: The name of the alarm. :param enable: When True, actions are enabled for the alarm. Otherwise, they disabled. """ try: alarm = self.cloudwatch_resource.Alarm(alarm_name) if enable: alarm.enable_actions() else: alarm.disable_actions() logger.info( "%s actions for alarm %s.", "Enabled" if enable else "Disabled", alarm_name, ) except ClientError: logger.exception( "Couldn't %s actions alarm %s.", "enable" if enable else "disable", alarm_name, ) raise
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Untuk API detailnya, lihat EnableAlarmActions AWSSDKReferensi Python (Boto3). API
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Contoh kode berikut menunjukkan cara menggunakanGetMetricStatistics
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- SDKuntuk Python (Boto3)
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catatan
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara pengaturan dan menjalankannya di Repositori Contoh Kode AWS
. class CloudWatchWrapper: """Encapsulates Amazon CloudWatch functions.""" def __init__(self, cloudwatch_resource): """ :param cloudwatch_resource: A Boto3 CloudWatch resource. """ self.cloudwatch_resource = cloudwatch_resource def get_metric_statistics(self, namespace, name, start, end, period, stat_types): """ Gets statistics for a metric within a specified time span. Metrics are grouped into the specified period. :param namespace: The namespace of the metric. :param name: The name of the metric. :param start: The UTC start time of the time span to retrieve. :param end: The UTC end time of the time span to retrieve. :param period: The period, in seconds, in which to group metrics. The period must match the granularity of the metric, which depends on the metric's age. For example, metrics that are older than three hours have a one-minute granularity, so the period must be at least 60 and must be a multiple of 60. :param stat_types: The type of statistics to retrieve, such as average value or maximum value. :return: The retrieved statistics for the metric. """ try: metric = self.cloudwatch_resource.Metric(namespace, name) stats = metric.get_statistics( StartTime=start, EndTime=end, Period=period, Statistics=stat_types ) logger.info( "Got %s statistics for %s.", len(stats["Datapoints"]), stats["Label"] ) except ClientError: logger.exception("Couldn't get statistics for %s.%s.", namespace, name) raise else: return stats
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Untuk API detailnya, lihat GetMetricStatistics AWSSDKReferensi Python (Boto3). API
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Contoh kode berikut menunjukkan cara menggunakanListMetrics
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- SDKuntuk Python (Boto3)
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catatan
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara pengaturan dan menjalankannya di Repositori Contoh Kode AWS
. class CloudWatchWrapper: """Encapsulates Amazon CloudWatch functions.""" def __init__(self, cloudwatch_resource): """ :param cloudwatch_resource: A Boto3 CloudWatch resource. """ self.cloudwatch_resource = cloudwatch_resource def list_metrics(self, namespace, name, recent=False): """ Gets the metrics within a namespace that have the specified name. If the metric has no dimensions, a single metric is returned. Otherwise, metrics for all dimensions are returned. :param namespace: The namespace of the metric. :param name: The name of the metric. :param recent: When True, only metrics that have been active in the last three hours are returned. :return: An iterator that yields the retrieved metrics. """ try: kwargs = {"Namespace": namespace, "MetricName": name} if recent: kwargs["RecentlyActive"] = "PT3H" # List past 3 hours only metric_iter = self.cloudwatch_resource.metrics.filter(**kwargs) logger.info("Got metrics for %s.%s.", namespace, name) except ClientError: logger.exception("Couldn't get metrics for %s.%s.", namespace, name) raise else: return metric_iter
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Untuk API detailnya, lihat ListMetrics AWSSDKReferensi Python (Boto3). API
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Contoh kode berikut menunjukkan cara menggunakanPutMetricAlarm
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- SDKuntuk Python (Boto3)
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catatan
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara pengaturan dan menjalankannya di Repositori Contoh Kode AWS
. class CloudWatchWrapper: """Encapsulates Amazon CloudWatch functions.""" def __init__(self, cloudwatch_resource): """ :param cloudwatch_resource: A Boto3 CloudWatch resource. """ self.cloudwatch_resource = cloudwatch_resource def create_metric_alarm( self, metric_namespace, metric_name, alarm_name, stat_type, period, eval_periods, threshold, comparison_op, ): """ Creates an alarm that watches a metric. :param metric_namespace: The namespace of the metric. :param metric_name: The name of the metric. :param alarm_name: The name of the alarm. :param stat_type: The type of statistic the alarm watches. :param period: The period in which metric data are grouped to calculate statistics. :param eval_periods: The number of periods that the metric must be over the alarm threshold before the alarm is set into an alarmed state. :param threshold: The threshold value to compare against the metric statistic. :param comparison_op: The comparison operation used to compare the threshold against the metric. :return: The newly created alarm. """ try: metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name) alarm = metric.put_alarm( AlarmName=alarm_name, Statistic=stat_type, Period=period, EvaluationPeriods=eval_periods, Threshold=threshold, ComparisonOperator=comparison_op, ) logger.info( "Added alarm %s to track metric %s.%s.", alarm_name, metric_namespace, metric_name, ) except ClientError: logger.exception( "Couldn't add alarm %s to metric %s.%s", alarm_name, metric_namespace, metric_name, ) raise else: return alarm
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Untuk API detailnya, lihat PutMetricAlarm AWSSDKReferensi Python (Boto3). API
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Contoh kode berikut menunjukkan cara menggunakanPutMetricData
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- SDKuntuk Python (Boto3)
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catatan
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara pengaturan dan menjalankannya di Repositori Contoh Kode AWS
. class CloudWatchWrapper: """Encapsulates Amazon CloudWatch functions.""" def __init__(self, cloudwatch_resource): """ :param cloudwatch_resource: A Boto3 CloudWatch resource. """ self.cloudwatch_resource = cloudwatch_resource def put_metric_data(self, namespace, name, value, unit): """ Sends a single data value to CloudWatch for a metric. This metric is given a timestamp of the current UTC time. :param namespace: The namespace of the metric. :param name: The name of the metric. :param value: The value of the metric. :param unit: The unit of the metric. """ try: metric = self.cloudwatch_resource.Metric(namespace, name) metric.put_data( Namespace=namespace, MetricData=[{"MetricName": name, "Value": value, "Unit": unit}], ) logger.info("Put data for metric %s.%s", namespace, name) except ClientError: logger.exception("Couldn't put data for metric %s.%s", namespace, name) raise
Masukkan satu set data ke dalam CloudWatch metrik.
class CloudWatchWrapper: """Encapsulates Amazon CloudWatch functions.""" def __init__(self, cloudwatch_resource): """ :param cloudwatch_resource: A Boto3 CloudWatch resource. """ self.cloudwatch_resource = cloudwatch_resource def put_metric_data_set(self, namespace, name, timestamp, unit, data_set): """ Sends a set of data to CloudWatch for a metric. All of the data in the set have the same timestamp and unit. :param namespace: The namespace of the metric. :param name: The name of the metric. :param timestamp: The UTC timestamp for the metric. :param unit: The unit of the metric. :param data_set: The set of data to send. This set is a dictionary that contains a list of values and a list of corresponding counts. The value and count lists must be the same length. """ try: metric = self.cloudwatch_resource.Metric(namespace, name) metric.put_data( Namespace=namespace, MetricData=[ { "MetricName": name, "Timestamp": timestamp, "Values": data_set["values"], "Counts": data_set["counts"], "Unit": unit, } ], ) logger.info("Put data set for metric %s.%s.", namespace, name) except ClientError: logger.exception("Couldn't put data set for metric %s.%s.", namespace, name) raise
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Untuk API detailnya, lihat PutMetricData AWSSDKReferensi Python (Boto3). API
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Skenario
Contoh kode berikut ini menunjukkan cara:
Buat alarm untuk menonton CloudWatch metrik.
Memasukkan data ke dalam metrik dan picu alarm.
Ambil data dari alarm.
Menghapus alarm.
- SDKuntuk Python (Boto3)
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catatan
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara pengaturan dan menjalankannya di Repositori Contoh Kode AWS
. Buat kelas yang membungkus CloudWatch operasi.
from datetime import datetime, timedelta import logging from pprint import pprint import random import time import boto3 from botocore.exceptions import ClientError logger = logging.getLogger(__name__) class CloudWatchWrapper: """Encapsulates Amazon CloudWatch functions.""" def __init__(self, cloudwatch_resource): """ :param cloudwatch_resource: A Boto3 CloudWatch resource. """ self.cloudwatch_resource = cloudwatch_resource def put_metric_data_set(self, namespace, name, timestamp, unit, data_set): """ Sends a set of data to CloudWatch for a metric. All of the data in the set have the same timestamp and unit. :param namespace: The namespace of the metric. :param name: The name of the metric. :param timestamp: The UTC timestamp for the metric. :param unit: The unit of the metric. :param data_set: The set of data to send. This set is a dictionary that contains a list of values and a list of corresponding counts. The value and count lists must be the same length. """ try: metric = self.cloudwatch_resource.Metric(namespace, name) metric.put_data( Namespace=namespace, MetricData=[ { "MetricName": name, "Timestamp": timestamp, "Values": data_set["values"], "Counts": data_set["counts"], "Unit": unit, } ], ) logger.info("Put data set for metric %s.%s.", namespace, name) except ClientError: logger.exception("Couldn't put data set for metric %s.%s.", namespace, name) raise def create_metric_alarm( self, metric_namespace, metric_name, alarm_name, stat_type, period, eval_periods, threshold, comparison_op, ): """ Creates an alarm that watches a metric. :param metric_namespace: The namespace of the metric. :param metric_name: The name of the metric. :param alarm_name: The name of the alarm. :param stat_type: The type of statistic the alarm watches. :param period: The period in which metric data are grouped to calculate statistics. :param eval_periods: The number of periods that the metric must be over the alarm threshold before the alarm is set into an alarmed state. :param threshold: The threshold value to compare against the metric statistic. :param comparison_op: The comparison operation used to compare the threshold against the metric. :return: The newly created alarm. """ try: metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name) alarm = metric.put_alarm( AlarmName=alarm_name, Statistic=stat_type, Period=period, EvaluationPeriods=eval_periods, Threshold=threshold, ComparisonOperator=comparison_op, ) logger.info( "Added alarm %s to track metric %s.%s.", alarm_name, metric_namespace, metric_name, ) except ClientError: logger.exception( "Couldn't add alarm %s to metric %s.%s", alarm_name, metric_namespace, metric_name, ) raise else: return alarm def put_metric_data(self, namespace, name, value, unit): """ Sends a single data value to CloudWatch for a metric. This metric is given a timestamp of the current UTC time. :param namespace: The namespace of the metric. :param name: The name of the metric. :param value: The value of the metric. :param unit: The unit of the metric. """ try: metric = self.cloudwatch_resource.Metric(namespace, name) metric.put_data( Namespace=namespace, MetricData=[{"MetricName": name, "Value": value, "Unit": unit}], ) logger.info("Put data for metric %s.%s", namespace, name) except ClientError: logger.exception("Couldn't put data for metric %s.%s", namespace, name) raise def get_metric_statistics(self, namespace, name, start, end, period, stat_types): """ Gets statistics for a metric within a specified time span. Metrics are grouped into the specified period. :param namespace: The namespace of the metric. :param name: The name of the metric. :param start: The UTC start time of the time span to retrieve. :param end: The UTC end time of the time span to retrieve. :param period: The period, in seconds, in which to group metrics. The period must match the granularity of the metric, which depends on the metric's age. For example, metrics that are older than three hours have a one-minute granularity, so the period must be at least 60 and must be a multiple of 60. :param stat_types: The type of statistics to retrieve, such as average value or maximum value. :return: The retrieved statistics for the metric. """ try: metric = self.cloudwatch_resource.Metric(namespace, name) stats = metric.get_statistics( StartTime=start, EndTime=end, Period=period, Statistics=stat_types ) logger.info( "Got %s statistics for %s.", len(stats["Datapoints"]), stats["Label"] ) except ClientError: logger.exception("Couldn't get statistics for %s.%s.", namespace, name) raise else: return stats def get_metric_alarms(self, metric_namespace, metric_name): """ Gets the alarms that are currently watching the specified metric. :param metric_namespace: The namespace of the metric. :param metric_name: The name of the metric. :returns: An iterator that yields the alarms. """ metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name) alarm_iter = metric.alarms.all() logger.info("Got alarms for metric %s.%s.", metric_namespace, metric_name) return alarm_iter def delete_metric_alarms(self, metric_namespace, metric_name): """ Deletes all of the alarms that are currently watching the specified metric. :param metric_namespace: The namespace of the metric. :param metric_name: The name of the metric. """ try: metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name) metric.alarms.delete() logger.info( "Deleted alarms for metric %s.%s.", metric_namespace, metric_name ) except ClientError: logger.exception( "Couldn't delete alarms for metric %s.%s.", metric_namespace, metric_name, ) raise
Gunakan kelas pembungkus untuk memasukkan data ke dalam metrik, memicu alarm yang mengawasi metrik, dan ambil data dari alarm.
def usage_demo(): print("-" * 88) print("Welcome to the Amazon CloudWatch metrics and alarms demo!") print("-" * 88) logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s") cw_wrapper = CloudWatchWrapper(boto3.resource("cloudwatch")) minutes = 20 metric_namespace = "doc-example-metric" metric_name = "page_views" start = datetime.utcnow() - timedelta(minutes=minutes) print( f"Putting data into metric {metric_namespace}.{metric_name} spanning the " f"last {minutes} minutes." ) for offset in range(0, minutes): stamp = start + timedelta(minutes=offset) cw_wrapper.put_metric_data_set( metric_namespace, metric_name, stamp, "Count", { "values": [ random.randint(bound, bound * 2) for bound in range(offset + 1, offset + 11) ], "counts": [random.randint(1, offset + 1) for _ in range(10)], }, ) alarm_name = "high_page_views" period = 60 eval_periods = 2 print(f"Creating alarm {alarm_name} for metric {metric_name}.") alarm = cw_wrapper.create_metric_alarm( metric_namespace, metric_name, alarm_name, "Maximum", period, eval_periods, 100, "GreaterThanThreshold", ) print(f"Alarm ARN is {alarm.alarm_arn}.") print(f"Current alarm state is: {alarm.state_value}.") print( f"Sending data to trigger the alarm. This requires data over the threshold " f"for {eval_periods} periods of {period} seconds each." ) while alarm.state_value == "INSUFFICIENT_DATA": print("Sending data for the metric.") cw_wrapper.put_metric_data( metric_namespace, metric_name, random.randint(100, 200), "Count" ) alarm.load() print(f"Current alarm state is: {alarm.state_value}.") if alarm.state_value == "INSUFFICIENT_DATA": print(f"Waiting for {period} seconds...") time.sleep(period) else: print("Wait for a minute for eventual consistency of metric data.") time.sleep(period) if alarm.state_value == "OK": alarm.load() print(f"Current alarm state is: {alarm.state_value}.") print( f"Getting data for metric {metric_namespace}.{metric_name} during timespan " f"of {start} to {datetime.utcnow()} (times are UTC)." ) stats = cw_wrapper.get_metric_statistics( metric_namespace, metric_name, start, datetime.utcnow(), 60, ["Average", "Minimum", "Maximum"], ) print( f"Got {len(stats['Datapoints'])} data points for metric " f"{metric_namespace}.{metric_name}." ) pprint(sorted(stats["Datapoints"], key=lambda x: x["Timestamp"])) print(f"Getting alarms for metric {metric_name}.") alarms = cw_wrapper.get_metric_alarms(metric_namespace, metric_name) for alarm in alarms: print(f"Alarm {alarm.name} is currently in state {alarm.state_value}.") print(f"Deleting alarms for metric {metric_name}.") cw_wrapper.delete_metric_alarms(metric_namespace, metric_name) print("Thanks for watching!") print("-" * 88)
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Untuk API detailnya, lihat topik berikut AWS SDKuntuk Referensi Python (Boto3). API
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