Serverless AWS Alerts Plugin

A Serverless plugin to easily add CloudWatch alarms to functions

Installation

npm i serverless-plugin-aws-alerts

Usage

service: your-service
provider:
  name: aws
  runtime: nodejs4.3

custom:
  alerts:
    stages: # Optionally - select which stages to deploy alarms to
      - production
      - staging

    dashboards: true

    # or if tou want to add custom metrics for dashboard

    dashboards: 
      type: 
        default
      properties: # Optionally - by default each metric has period 300 seconds
        metricsPeriod: 3600

    topics:
      ok: ${self:service}-${opt:stage}-alerts-ok
      alarm: ${self:service}-${opt:stage}-alerts-alarm
      insufficientData: ${self:service}-${opt:stage}-alerts-insufficientData
    definitions:  # these defaults are merged with your definitions
      functionErrors:
        period: 300 # override period
      customAlarm:
        description: 'My custom alarm'
        namespace: 'AWS/Lambda'
        metric: duration
        threshold: 200
        statistic: Average
        period: 300
        evaluationPeriods: 1
        comparisonOperator: GreaterThanOrEqualToThreshold
    alarms:
      - functionThrottles
      - functionErrors
      - functionInvocations
      - functionDuration

plugins:
  - serverless-plugin-aws-alerts

functions:
  foo:
    handler: foo.handler
    alarms: # merged with function alarms
      - customAlarm
      - name: fooAlarm # creates new alarm or overwrites some properties of the alarm (with the same name) from definitions
        namespace: 'AWS/Lambda'
        metric: errors # define custom metrics here
        threshold: 1
        statistic: Minimum
        period: 60
        evaluationPeriods: 1
        comparisonOperator: GreaterThanOrEqualToThreshold

SNS Topics

If topic name is specified, plugin assumes that topic does not exist and will create it. To use existing topics, specify ARNs instead.

SNS Notifications

You can configure subscriptions to your SNS topics within your serverless.yml. For each subscription, you'll need to specify a protocol and an endpoint.

The following example will send email notifications to [email protected] for all messages to the Alarm topic:

custom:
  alerts:
    topics:
      alarm:
        topic: ${self:service}-${opt:stage}-alerts-alarm
        notifications:
          - protocol: email
            endpoint: [email protected]

You can configure notifications to send to webhook URLs, to SMS devices, to other Lambda functions, and more. Check out the AWS docs here for configuration options.

Metric Log Filters

You can monitor a log group for a function for a specific pattern. Do this by adding the pattern key. You can learn about custom patterns at: http://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/FilterAndPatternSyntax.html

The following would create a custom metric log filter based alarm named barExceptions. Any function that included this alarm would have its logs scanned for the pattern exception Bar and if found would trigger an alarm.

custom:
  alerts:
    definitions:
      barExceptions:
        metric: barExceptions
        threshold: 0
        statistic: Minimum
        period: 60
        evaluationPeriods: 1
        comparisonOperator: GreaterThanThreshold
        pattern: 'exception Bar'
      bunyanErrors:
        metric: bunyanErrors
        threshold: 0
        statistic: Sum
        period: 60
        evaluationPeriods: 1
        comparisonOperator: GreaterThanThreshold
        pattern: '{$.level > 40}'

Note: For custom log metrics, namespace property will automatically be set to stack name (e.g. fooservice-dev).

Default Definitions

The plugin provides some default definitions that you can simply drop into your application. For example:

alerts:
  alarms:
    - functionErrors
    - functionThrottles
    - functionInvocations
    - functionDuration

If these definitions do not quite suit i.e. the threshold is too high, you can override a setting without creating a completely new definition.

alerts:
  definitions:  # these defaults are merged with your definitions
    functionErrors:
      period: 300 # override period
      treatMissingData: notBreaching # override treatMissingData

The default definitions are below.

definitions:
  functionInvocations:
    namespace: 'AWS/Lambda'
    metric: Invocations
    threshold: 100
    statistic: Sum
    period: 60
    evaluationPeriods: 1
    comparisonOperator: GreaterThanOrEqualToThreshold
    treatMissingData: missing
  functionErrors:
    namespace: 'AWS/Lambda'
    metric: Errors
    threshold: 1
    statistic: Sum
    period: 60
    evaluationPeriods: 1
    comparisonOperator: GreaterThanOrEqualToThreshold
    treatMissingData: missing
  functionDuration:
    namespace: 'AWS/Lambda'
    metric: Duration
    threshold: 500
    statistic: Average
    period: 60
    evaluationPeriods: 1
    comparisonOperator: GreaterThanOrEqualToThreshold
    treatMissingData: missing
  functionThrottles:
    namespace: 'AWS/Lambda'
    metric: Throttles
    threshold: 1
    statistic: Sum
    period: 60
    evaluationPeriods: 1
    comparisonOperator: GreaterThanOrEqualToThreshold
    treatMissingData: missing

Using Percentile Statistic for a Metric

Statistic not only supports SampleCount, Average, Sum, Minimum or Maximum as defined in CloudFormation here, but also percentiles. This is possible by leveraging ExtendedStatistic under the hood. This plugin will automatically choose the correct key for you. See an example below:

definitions:
  functionDuration:
    namespace: 'AWS/Lambda'
    metric: Duration
    threshold: 100
    statistic: 'p95'
    period: 60
    evaluationPeriods: 1
    comparisonOperator: GreaterThanThreshold
    treatMissingData: missing

License

MIT © A Cloud Guru