@aws-cdk/aws-cloudwatch

What is @aws-cdk/aws-cloudwatch?

@aws-cdk/aws-cloudwatch is an AWS CDK library that allows you to define and manage Amazon CloudWatch resources using code. It provides a high-level, object-oriented abstraction to create and manage CloudWatch Alarms, Dashboards, Metrics, and more.

What are @aws-cdk/aws-cloudwatch's main functionalities?

Creating CloudWatch Alarms

This code sample demonstrates how to create a CloudWatch Alarm that monitors the CPU utilization of an EC2 instance. The alarm triggers if the CPU utilization exceeds 80% for three consecutive evaluation periods.

const cloudwatch = require('@aws-cdk/aws-cloudwatch');
const cdk = require('@aws-cdk/core');

const app = new cdk.App();
const stack = new cdk.Stack(app, 'MyStack');

const alarm = new cloudwatch.Alarm(stack, 'MyAlarm', {
  metric: new cloudwatch.Metric({
    namespace: 'AWS/EC2',
    metricName: 'CPUUtilization',
    dimensions: { InstanceId: 'i-1234567890abcdef0' },
  }),
  threshold: 80,
  evaluationPeriods: 3,
  comparisonOperator: cloudwatch.ComparisonOperator.GREATER_THAN_OR_EQUAL_TO_THRESHOLD,
});

app.synth();

Creating CloudWatch Dashboards

This code sample demonstrates how to create a CloudWatch Dashboard and add a graph widget to it. The graph widget displays the CPU utilization of an EC2 instance.

const cloudwatch = require('@aws-cdk/aws-cloudwatch');
const cdk = require('@aws-cdk/core');

const app = new cdk.App();
const stack = new cdk.Stack(app, 'MyStack');

const dashboard = new cloudwatch.Dashboard(stack, 'MyDashboard', {
  dashboardName: 'MyDashboard',
});

dashboard.addWidgets(new cloudwatch.GraphWidget({
  title: 'EC2 CPU Utilization',
  left: [new cloudwatch.Metric({
    namespace: 'AWS/EC2',
    metricName: 'CPUUtilization',
    dimensions: { InstanceId: 'i-1234567890abcdef0' },
  })],
}));

app.synth();

Creating Custom Metrics

This code sample demonstrates how to create a custom CloudWatch metric and set up an alarm for it. The custom metric is defined with a specific namespace and dimensions.

const cloudwatch = require('@aws-cdk/aws-cloudwatch');
const cdk = require('@aws-cdk/core');

const app = new cdk.App();
const stack = new cdk.Stack(app, 'MyStack');

const customMetric = new cloudwatch.Metric({
  namespace: 'MyNamespace',
  metricName: 'MyCustomMetric',
  dimensions: { MyDimension: 'MyValue' },
});

const alarm = new cloudwatch.Alarm(stack, 'MyCustomMetricAlarm', {
  metric: customMetric,
  threshold: 100,
  evaluationPeriods: 1,
  comparisonOperator: cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
});

app.synth();

Other packages similar to @aws-cdk/aws-cloudwatch

aws-sdk

The aws-sdk package is the official AWS SDK for JavaScript. It provides low-level access to AWS services, including CloudWatch. While it offers more granular control, it lacks the high-level abstractions provided by @aws-cdk/aws-cloudwatch, making it more complex to use for defining and managing CloudWatch resources.

cloudwatch-metrics

The cloudwatch-metrics package is a lightweight library for publishing custom metrics to Amazon CloudWatch. It is simpler and more focused compared to @aws-cdk/aws-cloudwatch, but it does not provide the comprehensive resource management capabilities that the CDK library offers.

serverless-plugin-cloudwatch

The serverless-plugin-cloudwatch package is a Serverless Framework plugin that allows you to define CloudWatch Alarms and Dashboards in your serverless.yml configuration file. It is tailored for use with the Serverless Framework and offers a more integrated experience for serverless applications, but it is less flexible and powerful compared to the @aws-cdk/aws-cloudwatch library.

README

Amazon CloudWatch Construct Library

---

---

Metric objects

Metric objects represent a metric that is emitted by AWS services or your own application, such as CPUUsage, FailureCount or Bandwidth.

Metric objects can be constructed directly or are exposed by resources as attributes. Resources that expose metrics will have functions that look like metricXxx() which will return a Metric object, initialized with defaults that make sense.

For example, lambda.Function objects have the fn.metricErrors() method, which represents the amount of errors reported by that Lambda function:

const errors = fn.metricErrors();

You can also instantiate Metric objects to reference any published metric that's not exposed using a convenience method on the CDK construct. For example:

const hostedZone = new route53.HostedZone(this, 'MyHostedZone', { zoneName: "example.org" });
const metric = new Metric({
  namespace: 'AWS/Route53',
  metricName: 'DNSQueries',
  dimensions: {
    HostedZoneId: hostedZone.hostedZoneId
  }
})

Instantiating a new Metric object

If you want to reference a metric that is not yet exposed by an existing construct, you can instantiate a Metric object to represent it. For example:

const metric = new Metric({
  namespace: 'MyNamespace',
  metricName: 'MyMetric',
  dimensions: {
    ProcessingStep: 'Download'
  }
});

Metric Math

Math expressions are supported by instantiating the MathExpression class. For example, a math expression that sums two other metrics looks like this:

const allProblems = new MathExpression({
  expression: "errors + faults",
  usingMetrics: {
    errors: myConstruct.metricErrors(),
    faults: myConstruct.metricFaults(),
  }
})

You can use MathExpression objects like any other metric, including using them in other math expressions:

const problemPercentage = new MathExpression({
  expression: "(problems / invocations) * 100",
  usingMetrics: {
    problems: allProblems,
    invocations: myConstruct.metricInvocations()
  }
})

Aggregation

To graph or alarm on metrics you must aggregate them first, using a function like Average or a percentile function like P99. By default, most Metric objects returned by CDK libraries will be configured as Average over 300 seconds (5 minutes). The exception is if the metric represents a count of discrete events, such as failures. In that case, the Metric object will be configured as Sum over 300 seconds, i.e. it represents the number of times that event occurred over the time period.

If you want to change the default aggregation of the Metric object (for example, the function or the period), you can do so by passing additional parameters to the metric function call:

const minuteErrorRate = fn.metricErrors({
  statistic: 'avg',
  period: Duration.minutes(1),
  label: 'Lambda failure rate'
});

This function also allows changing the metric label or color (which will be useful when embedding them in graphs, see below).

Rates versus Sums

The reason for using Sum to count discrete events is that some events are emitted as either 0 or 1 (for example Errors for a Lambda) and some are only emitted as 1 (for example NumberOfMessagesPublished for an SNS topic).

In case 0-metrics are emitted, it makes sense to take the Average of this metric: the result will be the fraction of errors over all executions.

If 0-metrics are not emitted, the Average will always be equal to 1, and not be very useful.

In order to simplify the mental model of Metric objects, we default to aggregating using Sum, which will be the same for both metrics types. If you happen to know the Metric you want to alarm on makes sense as a rate (Average) you can always choose to change the statistic.

Alarms

Alarms can be created on metrics in one of two ways. Either create an Alarm object, passing the Metric object to set the alarm on:

new Alarm(this, 'Alarm', {
  metric: fn.metricErrors(),
  threshold: 100,
  evaluationPeriods: 2,
});

Alternatively, you can call metric.createAlarm():

fn.metricErrors().createAlarm(this, 'Alarm', {
  threshold: 100,
  evaluationPeriods: 2,
});

The most important properties to set while creating an Alarms are:

• threshold: the value to compare the metric against.
• comparisonOperator: the comparison operation to use, defaults to metric >= threshold.
• evaluationPeriods: how many consecutive periods the metric has to be breaching the the threshold for the alarm to trigger.

Alarm Actions

To add actions to an alarm, use the integration classes from the @aws-cdk/aws-cloudwatch-actions package. For example, to post a message to an SNS topic when an alarm breaches, do the following:

import * as cw_actions from '@aws-cdk/aws-cloudwatch-actions';

// ...
const topic = new sns.Topic(stack, 'Topic');
const alarm = new cloudwatch.Alarm(stack, 'Alarm', { /* ... */ });

alarm.addAlarmAction(new cw_actions.SnsAction(topic));

Composite Alarms

Composite Alarms can be created from existing Alarm resources.

const alarmRule = AlarmRule.anyOf(
  AlarmRule.allOf(
    AlarmRule.anyOf(
      alarm1,
      AlarmRule.fromAlarm(alarm2, AlarmState.OK),
      alarm3,
    ),
    AlarmRule.not(AlarmRule.fromAlarm(alarm4, AlarmState.INSUFFICIENT_DATA)),
  ),
  AlarmRule.fromBoolean(false),
);

new CompositeAlarm(this, 'MyAwesomeCompositeAlarm', {
  alarmRule,
});

A note on units

In CloudWatch, Metrics datums are emitted with units, such as seconds or bytes. When Metric objects are given a unit attribute, it will be used to filter the stream of metric datums for datums emitted using the same unit attribute.

In particular, the unit field is not used to rescale datums or alarm threshold values (for example, it cannot be used to specify an alarm threshold in Megabytes if the metric stream is being emitted as bytes).

You almost certainly don't want to specify the unit property when creating Metric objects (which will retrieve all datums regardless of their unit), unless you have very specific requirements. Note that in any case, CloudWatch only supports filtering by unit for Alarms, not in Dashboard graphs.

Please see the following GitHub issue for a discussion on real unit calculations in CDK: https://github.com/aws/aws-cdk/issues/5595

Dashboards

Dashboards are set of Widgets stored server-side which can be accessed quickly from the AWS console. Available widgets are graphs of a metric over time, the current value of a metric, or a static piece of Markdown which explains what the graphs mean.

The following widgets are available:

• GraphWidget -- shows any number of metrics on both the left and right vertical axes.
• AlarmWidget -- shows the graph and alarm line for a single alarm.
• SingleValueWidget -- shows the current value of a set of metrics.
• TextWidget -- shows some static Markdown.
• AlarmStatusWidget -- shows the status of your alarms in a grid view.

Graph widget

A graph widget can display any number of metrics on either the left or right vertical axis:

dashboard.addWidgets(new GraphWidget({
  title: "Executions vs error rate",

  left: [executionCountMetric],

  right: [errorCountMetric.with({
    statistic: "average",
    label: "Error rate",
    color: Color.GREEN
  })]
}));

Using the methods addLeftMetric() and addRightMetric() you can add metrics to a graph widget later on.

Graph widgets can also display annotations attached to the left or the right y-axis.

dashboard.addWidgets(new GraphWidget({
  // ...
  // ...

  leftAnnotations: [
    { value: 1800, label: Duration.minutes(30).toHumanString(), color: Color.RED, },
    { value: 3600, label: '1 hour', color: '#2ca02c', }
  ],
}));

The graph legend can be adjusted from the default position at bottom of the widget.

dashboard.addWidgets(new GraphWidget({
  // ...
  // ...

  legendPosition: LegendPosition.RIGHT,
}));

The graph can publish live data within the last minute that has not been fully aggregated.

dashboard.addWidgets(new GraphWidget({
  // ...
  // ...

  liveData: true,
}));

The graph view can be changed from default 'timeSeries' to 'bar' or 'pie'.

dashboard.addWidgets(new GraphWidget({
  // ...
  // ...

  view: GraphWidgetView.BAR,
}));

Alarm widget

An alarm widget shows the graph and the alarm line of a single alarm:

dashboard.addWidgets(new AlarmWidget({
  title: "Errors",
  alarm: errorAlarm,
}));

Single value widget

A single-value widget shows the latest value of a set of metrics (as opposed to a graph of the value over time):

dashboard.addWidgets(new SingleValueWidget({
  metrics: [visitorCount, purchaseCount],
}));

Show as many digits as can fit, before rounding.

dashboard.addWidgets(new SingleValueWidget({
  // ..
  // ..

  fullPrecision: true,
}));

Text widget

A text widget shows an arbitrary piece of MarkDown. Use this to add explanations to your dashboard:

dashboard.addWidgets(new TextWidget({
  markdown: '# Key Performance Indicators'
}));

Alarm Status widget

An alarm status widget displays instantly the status of any type of alarms and gives the ability to aggregate one or more alarms together in a small surface.

dashboard.addWidgets(
  new AlarmStatusWidget({
    alarms: [errorAlarm],
  })
);

Query results widget

A LogQueryWidget shows the results of a query from Logs Insights:

dashboard.addWidgets(new LogQueryWidget({
  logGroupNames: ['my-log-group'],
  view: LogQueryVisualizationType.TABLE,
  // The lines will be automatically combined using '\n|'.
  queryLines: [
    'fields @message',
    'filter @message like /Error/',
  ]
}));

Dashboard Layout

The widgets on a dashboard are visually laid out in a grid that is 24 columns wide. Normally you specify X and Y coordinates for the widgets on a Dashboard, but because this is inconvenient to do manually, the library contains a simple layout system to help you lay out your dashboards the way you want them to.

Widgets have a width and height property, and they will be automatically laid out either horizontally or vertically stacked to fill out the available space.

Widgets are added to a Dashboard by calling add(widget1, widget2, ...). Widgets given in the same call will be laid out horizontally. Widgets given in different calls will be laid out vertically. To make more complex layouts, you can use the following widgets to pack widgets together in different ways:

• Column: stack two or more widgets vertically.
• Row: lay out two or more widgets horizontally.
• Spacer: take up empty space

Changelog

1.95.1 (2021-03-25)

Bug Fixes

• codebuild: module fails to load with error "Cannot use import statement outside a module" (b1ffd33), closes #13699 #13699