AWS

Crawler

Overview

Connect to Amazon Web Services (AWS) in order to:

• See automatic AWS status updates in your stream
• Get CloudWatch metrics for EC2 hosts without installing the Agent
• Tag your EC2 hosts with EC2-specific information (e.g. availability zone)
• See EC2 scheduled maintenances events in your stream
• Collect CloudWatch metrics and events from many other AWS products

Related integrations include:

Setup

Installation

Setting up the Datadog integration with Amazon Web Services requires configuring role delegation using AWS IAM. To get a better understanding of role delegation, refer to the AWS IAM Best Practices guide.

1. Create a new role in the AWS IAM Console.
2. Select Another AWS account for the Role Type.
3. For Account ID, enter 464622532012 (Datadog’s account ID). This means that you will grant Datadog read only access to your AWS data.
4. Check off Require external ID and enter the one generated in the Datadog app. Make sure you leave Require MFA disabled. For more information about the External ID, refer to this document in the IAM User Guide.
5. Click Next: Permissions.
6. If you’ve already created the policy, search for it on this page and select it, then skip to step 12. Otherwise, click Create Policy, which will open in a new window.
7. Select the JSON tab. To take advantage of every AWS integration offered by Datadog, use policy snippet below in the textbox. As we add other components to the integration, these permissions may change.
8. Click Review policy.
9. Name the policy DatadogAWSIntegrationPolicy or one of your own choosing, and provide an apt description.
10. Click Create policy. You can now close this window.
11. Back in the “Create role” window, refresh the list of policies and select the policy you just created.
12. Click Next: Review.
13. Give the role a name such as DatadogAWSIntegrationRole, as well as an apt description. Click Create Role.

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Action": [
        "autoscaling:Describe*",
        "budgets:ViewBudget",
        "cloudfront:GetDistributionConfig",
        "cloudfront:ListDistributions",
        "cloudtrail:DescribeTrails",
        "cloudtrail:GetTrailStatus",
        "cloudwatch:Describe*",
        "cloudwatch:Get*",
        "cloudwatch:List*",
        "codedeploy:List*",
        "codedeploy:BatchGet*",
        "directconnect:Describe*",
        "dynamodb:List*",
        "dynamodb:Describe*",
        "ec2:Describe*",
        "ecs:Describe*",
        "ecs:List*",
        "elasticache:Describe*",
        "elasticache:List*",
        "elasticfilesystem:DescribeFileSystems",
        "elasticfilesystem:DescribeTags",
        "elasticloadbalancing:Describe*",
        "elasticmapreduce:List*",
        "elasticmapreduce:Describe*",
        "es:ListTags",
        "es:ListDomainNames",
        "es:DescribeElasticsearchDomains",
        "health:DescribeEvents",
        "health:DescribeEventDetails",
        "health:DescribeAffectedEntities",
        "kinesis:List*",
        "kinesis:Describe*",
        "lambda:AddPermission",
        "lambda:GetPolicy",
        "lambda:List*",
        "lambda:RemovePermission",
        "logs:Get*",
        "logs:Describe*",
        "logs:FilterLogEvents",
        "logs:TestMetricFilter",
        "logs:PutSubscriptionFilter",
        "logs:DeleteSubscriptionFilter",
        "logs:DescribeSubscriptionFilters",
        "rds:Describe*",
        "rds:List*",
        "redshift:DescribeClusters",
        "redshift:DescribeLoggingStatus",
        "route53:List*",
        "s3:GetBucketLogging",
        "s3:GetBucketLocation",
        "s3:GetBucketNotification",
        "s3:GetBucketTagging",
        "s3:ListAllMyBuckets",
        "s3:PutBucketNotification",
        "ses:Get*",
        "sns:List*",
        "sns:Publish",
        "sqs:ListQueues",
        "support:*",
        "tag:GetResources",
        "tag:GetTagKeys",
        "tag:GetTagValues"
      ],
      "Effect": "Allow",
      "Resource": "*"
    }
  ]
}

If you are not comfortable with granting all of these permissions, at the very least use the existing policies named AmazonEC2ReadOnlyAccess and CloudWatchReadOnlyAccess, for more detailed information regarding permissions, please see the Permissions section below.

Permissions

The core Datadog-AWS integration pulls data from AWS CloudWatch. At a minimum, your Policy Document needs to allow the following actions:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Action": [
        "cloudwatch:Get*",
        "cloudwatch:List*",
        "ec2:Describe*",
        "support:*",
        "tag:GetResources",
        "tag:GetTagKeys",
        "tag:GetTagValues"
      ],
      "Effect": "Allow",
      "Resource": "*"
    }
  ]
}

• Cloudwatch:

  • cloudwatch:ListMetrics to list the available CloudWatch metrics.
  • cloudwatch:GetMetricStatistics to fetch data points for a given metric.

• Support:

  • support:*: Used to add metrics about service limits.
    It requires full access because of AWS limitations

• Tag:

  • tag:getResources: Used to get custom tags by resource type.
  • tag:getTagKeys: Used to get tag keys by region within an AWS account.
  • tag:getTagValues: Used to get tag values by region within an AWS account.

  The main use of the Resource Group Tagging API is to reduce the number of API calls we need to collect custom tags. For more information on Tag policies, review the documentation on the AWS website.

Configuration

1. Open the AWS integration tile.
2. Select the Role Delegation tab.
3. Enter your AWS Account ID without dashes, e.g. 123456789012, not 1234-5678-9012. Your Account ID can be found in the ARN of the role created during the installation of the AWS integration. Then enter the name of the created role.
4. Choose the services you want to collect metrics for on the left side of the dialog. You can optionally add tags to all hosts and metrics. Also if you want to only monitor a subset of EC2 instances on AWS, tag them and specify the tag in the limit textbox here.
5. Click Install Integration.

Configuration for China and GovCloud

1. Open the AWS integration tile.
2. Select the Access Keys (GovCloud or China Only) tab.
3. Enter your AWS Access Key and AWS Secret Key. Only access and secret keys for China and GovCloud are accepted.
4. Choose the services you want to collect metrics for on the left side of the dialog. You can optionally add tags to all hosts and metrics. Also if you want to only monitor a subset of EC2 instances on AWS, tag them and specify the tag in the limit textbox here.
5. Click Install Integration.

Log collection

To start collecting logs from one of your AWS services here is the general process:

1. Set up the Datadog lambda function
2. Enable Logging for your AWS service (most AWS services can log to a S3 bucket or Cloudwatch Log Group)

3. Configure the triggers that cause the Lambda to execute and send logs to Datadog. There are two ways to configure the triggers:

   • automatically: With the right set of permissions, Datadog manages them for you.
   • manually: set up each trigger yourself in the AWS console.

Create a new Lambda function

1. Navigate to the Lambda Console and create a new function:

2. Select Author from scratch and give the function a unique name.

3. Change the Runtime to Python 2.7

4. For Role, select Create new role from template(s) and give the role a unique name.

5. If you are pulling logs from a S3 bucket, under Policy templates search for and select s3 object read-only permissions.

6. Select Create Function.

Provide the code and configure the Lambda

1. Copy and paste the code from this repo into the function code area.
2. Ensure the Handler reads lambda_function.lambda_handler

3. At the top of the script you’ll find a section called #Parameters. You have two options for providing the API Key that the Lambda function requires:

   • Setup an environment variable (Preferred)
   • Edit the code directly with your Datadog API Key

4. Scroll down beyond the inline code area to Basic Settings.

5. Set the memory to around 1GB.

6. Set the timeout limit. We recommend 120 seconds.

7. Scroll back to the top of the page and hit Save.

Test your Lambda

1. Press Test.
2. Search for and select Cloudwatch Logs as the sample event.

3. Give the event a unique name and press Create.
4. Press Test and ensure the test passes with no errors.

Enable logging for your AWS service

Any AWS service that generates logs into a S3 bucket or a cloudwatch log-group is supported. Find specific setup instructions for the most used services in the table below:

Send AWS service logs to Datadog

Automatic log collection

If you are storing logs in many S3 buckets, Datadog can automatically manage triggers for you.

1. If you haven’t already, set up the Datadog log collection AWS Lambda function.

2. Add the required permissions to your Datadog role in the IAM Console. You may already have some of these permissions from our other AWS integrations. Information on how these permissions are used can be found in the permissions section below:

   "cloudfront:GetDistributionConfig",
   "cloudfront:ListDistributions",
   "elasticloadbalancing:DescribeLoadBalancers",
   "elasticloadbalancing:DescribeLoadBalancerAttributes",
   "lambda:AddPermission",
   "lambda:GetPolicy",
   "lambda:RemovePermission",
   "redshift:DescribeClusters",
   "redshift:DescribeLoggingStatus",
   "s3:GetBucketLogging",
   "s3:GetBucketLocation",
   "s3:GetBucketNotification",
   "s3:ListAllMyBuckets",
   "s3:PutBucketNotification",
   "logs:PutSubscriptionFilter",
   "logs:DeleteSubscriptionFilter",
   "logs:DescribeSubscriptionFilters"
   

   • cloudfront:GetDistributionConfig: Get the name of the S3 bucket containing CloudFront access logs.
   • cloudfront:ListDistributions: List all CloudFront distributions.
   • elasticloadbalancing:DescribeLoadBalancers: List all load balancers.
   • elasticloadbalancing:DescribeLoadBalancerAttributes: Get the name of the S3 bucket containing ELB access logs.
   • lambda:AddPermission: Add permission allowing a particular S3 bucket to trigger a Lambda function.
   • lambda:GetPolicy: Gets the Lambda policy when triggers are to be removed.
   • lambda:RemovePermission: Remove permissions from a Lambda policy.
   • redshift:DescribeClusters: List all Redshift clusters.
   • redshift:DescribeLoggingStatus: Get the name of the S3 bucket containing Redshift Logs.
   • s3:GetBucketLogging: Get the name of the S3 bucket containing S3 access logs.
   • s3:GetBucketLocation: Get the region of the S3 bucket containing S3 access logs.
   • s3:GetBucketNotification: Get existing Lambda trigger configurations.
   • s3:ListAllMyBuckets: List all S3 buckets.
   • s3:PutBucketNotification: Add or remove a Lambda trigger based on S3 bucket events.
   • logs:PutSubscriptionFilter: Add a Lambda trigger based on CloudWatch Log events
   • logs:DeleteSubscriptionFilter: Remove a Lambda trigger based on CloudWatch Log events
   • logs:DescribeSubscriptionFilters: Get existing Lambda trigger configurations.

3. Navigate to the Collect Logs tab in the AWS Integration tile

4. Select the AWS Account from where you want to collect logs, and enter the ARN of the Lambda created in the previous section.

5. Check off the services from which you’d like to collect logs and hit save. To stop collecting logs from a particular service, uncheck it.

6. If you have logs across multiple regions, you must create additional Lambda functions in those regions and enter them in this tile.

7. To stop collecting all AWS logs, press the x next to each Lamdba ARN. All triggers for that function will be removed.

8. Within a few minutes of this initial setup, you will see your AWS Logs appear in our logging platform in near real time.

Note: For CloudFront distributions, store multiple distributions log files in the same bucket. When enabling logging, specify an optional prefix for the file names to keep track of which log files are associated with which distributions. In order for Datadog to tag CloudFront logs as source:cloudfront include cloudfront somewhere in prefix.

Manually set up triggers

In your Lambda, go in the triggers tab and select Add Trigger:

Select the log source and then follow the AWS instructions:

For instance, do not forget to set the correct event type on S3 Buckets:

Data Collected

Metrics

Events

The Datadog-AWS integrations send all your CloudWatch events in your Event stream

Troubleshooting

Do you believe you’re seeing a discrepancy between your data in CloudWatch and Datadog?

There are two important distinctions to be aware of:

1. In AWS for counters, a graph that is set to ‘sum’ ‘1minute’ shows the total number of occurrences in one minute leading up to that point, i.e. the rate per 1 minute. Datadog is displaying the raw data from AWS normalized to per second values, regardless of the timeframe selected in AWS, which is why you will probably see our value as lower.
2. Overall, min/max/avg have a different meaning within AWS than in Datadog. In AWS, average latency, minimum latency, and maximum latency are three distinct metrics that AWS collects. When Datadog pulls metrics from AWS CloudWatch, we only get the average latency as a single time series per ELB. Within Datadog, when you are selecting ‘min’, ‘max’, or ‘avg’, you are controlling how multiple time series will be combined. For example, requesting system.cpu.idle without any filter would return one series for each host that reports that metric and those series need to be combined to be graphed. On the other hand, if you requested system.cpu.idle from a single host, no aggregation would be necessary and switching between average and max would yield the same result.

Metrics delayed?

When using the AWS integration, we’re pulling in metrics via the CloudWatch API. You may see a slight delay in metrics from AWS due to some constraints that exist for their API.

To begin, the CloudWatch API only offers a metric-by-metric crawl to pull data. The CloudWatch APIs have a rate limit that varies based on the combination of authentication credentials, region, and service. Metrics are made available by AWS dependent on the account level. For example, if you are paying for “detailed metrics” within AWS, they are available more quickly. This level of service for detailed metrics also applies to granularity, with some metrics being available per minute and others per five minutes.

On the Datadog side, we do have the ability to prioritize certain metrics within an account to pull them in faster, depending on the circumstances. Please contact support@datadoghq.com for more info on this.

To obtain metrics with virtually zero delay, we recommend installing the Datadog Agent on those hosts. We’ve written a bit about this here, especially in relation to CloudWatch.

Missing metrics?

CloudWatch’s api returns only metrics with datapoints, so if for instance an ELB has no attached instances, it is expected not to see metrics related to this ELB in Datadog.

Wrong count of aws.elb.healthy_host_count?

When the cross-zone load balancing option is enabled on an ELB, all the instances attached to this ELB are considered part of all availability zones (on CloudWatch’s side), so if you have 2 instances in 1a and 3 in ab, the metric will display 5 instances per availability zone. As this can be counter intuitive, we’ve added new metrics, aws.elb.healthy_host_count_deduped and aws.elb.un_healthy_host_count_deduped, that display the count of healthy and unhealthy instances per availability zone, regardless of if this cross-zone load balancing option is enabled or not.

Duplicated hosts when installing the agent?

When installing the agent on an aws host, you might see duplicated hosts on the infra page for a few hours if you manually set the hostname in the agent’s configuration. This second host will disapear a few hours later, and won’t affect your billing.