AWS and Datadog Integration Guide

Overview

If you’re running workloads on Amazon Web Services, Datadog provides a unified monitoring platform that pulls metrics, logs, and traces directly from your AWS environment. Rather than toggling between the AWS console and separate monitoring tools, you get a single pane of glass for observability across your entire cloud stack.

The integration works through AWS Identity and Access Management (IAM) roles and API calls, allowing Datadog to ingest data from CloudWatch, CloudTrail, and other AWS services without requiring you to install agents on every resource. This is particularly valuable for teams managing complex, multi-region AWS deployments or hybrid environments where visibility across services is critical.

How the Integration Works

• IAM Role Setup: You create an IAM role in your AWS account with permissions that allow Datadog’s infrastructure to read metrics and logs. Datadog assumes this role to access your AWS resources securely, without storing AWS credentials directly.
• Metric Collection: Datadog pulls CloudWatch metrics automatically for services like EC2 instances, RDS databases, Lambda functions, DynamoDB tables, and load balancers. Metrics flow into Datadog’s platform in near real-time, typically within 1–2 minutes of generation.
• Log Aggregation: AWS logs from CloudTrail, VPC Flow Logs, application logs stored in CloudWatch Logs, and other sources can be forwarded to Datadog for centralized log analysis, searching, and alerting.
• Event and Trace Ingestion: AWS events (such as EC2 state changes, Auto Scaling activities, or CloudFormation stack updates) and distributed traces from AWS X-Ray are automatically collected and correlated with metrics for end-to-end visibility.
• Tagging and Organization: Datadog automatically inherits AWS tags applied to your resources, allowing you to organize dashboards, alerts, and reports by team, environment, cost center, or any other taxonomy you use in AWS.

Key Features & Capabilities

• Unified Infrastructure Monitoring: Monitor EC2 instances, RDS databases, Lambda functions, and other AWS services from a single dashboard without installing agents on every resource. Datadog pulls CloudWatch metrics automatically.
• Log Aggregation and Analysis: Centralize logs from CloudWatch, CloudTrail, VPC Flow Logs, and application logs. Search, filter, and set up alerts on log patterns without leaving Datadog.
• Distributed Tracing: Correlate application traces from AWS X-Ray with infrastructure metrics and logs to pinpoint performance bottlenecks across microservices and serverless functions.
• Cost Monitoring: Track AWS spending and resource utilization trends. Datadog’s cost analysis tools help identify unused resources and optimization opportunities across your AWS footprint.
• Automated Alerting: Create multi-condition alerts based on metrics, logs, or anomalies. Datadog can notify your team via Slack, PagerDuty, email, or custom webhooks when thresholds are breached.
• Compliance and Security Monitoring: Use CloudTrail logs forwarded to Datadog to audit API activity, detect unauthorized changes, and maintain compliance with regulations like HIPAA, PCI-DSS, or SOC 2.

Setup Difficulty

Medium (15–30 minutes, some AWS and Datadog configuration required)

The integration setup involves creating an IAM role in your AWS account, copying a role ARN, and pasting it into Datadog’s integration tile. No code or agents are required for basic metric collection. However, if you want to forward logs or set up advanced filtering, you’ll need to configure CloudWatch log groups or Lambda functions to stream data to Datadog, which adds 10–15 minutes of additional setup.

Step-by-Step Setup Overview

1. Log in to your AWS account and navigate to IAM.
2. Create a new IAM role with a trust relationship to Datadog’s AWS account.
3. Attach a policy that grants read-only permissions to CloudWatch, EC2, RDS, Lambda, and other services you want to monitor.
4. Copy the role ARN and go to Datadog’s AWS integration tile in the Integrations section.
5. Paste the role ARN and select which AWS services you want to monitor.
6. Optionally, configure log forwarding by setting up a Lambda function or CloudWatch subscription filter to send logs to Datadog.
7. Verify data is flowing by checking Datadog’s Infrastructure or Logs section within 2–3 minutes.

Alternatives

If the native AWS–Datadog integration doesn’t fully meet your needs, consider these options:

• Zapier or Make (Integromat): Use workflow automation platforms to trigger actions in other tools based on Datadog alerts or AWS events. Useful for ticketing, notifications, or custom workflows, though not ideal for continuous metric streaming.
• Custom Lambda Functions: Write AWS Lambda functions to push custom metrics or logs to Datadog via the Datadog API. This approach gives you fine-grained control but requires development resources.
• Competing Platforms: Tools like New Relic, Dynatrace, or Splunk also offer native AWS integrations. Evaluate these if you need different pricing models, specialized APM features, or existing vendor relationships.

Frequently Asked Questions

Does Datadog charge extra for AWS metrics?

Datadog charges based on the number of hosts and custom metrics you monitor. AWS metrics from CloudWatch are typically included in your host count, but if you enable additional custom metrics or log ingestion, those may incur separate charges. Review Datadog’s pricing page and your account manager for clarity on your specific setup.

What AWS permissions does Datadog need?

Datadog requires read-only permissions to CloudWatch, EC2, RDS, Lambda, DynamoDB, and other services you want to monitor. The IAM policy should never grant write or delete permissions. Datadog provides a pre-built policy template that follows the principle of least privilege.

Can I monitor multiple AWS accounts in Datadog?

Yes. You can create separate IAM roles in each AWS account and add them to Datadog individually. This allows you to aggregate metrics and logs from multiple AWS accounts into a single Datadog organization, making it easier to manage multi-account deployments.

How long does it take for AWS metrics to appear in Datadog?

Metrics typically appear within 1–2 minutes of being generated in CloudWatch. Logs may take slightly longer depending on the volume and your log forwarding configuration. Datadog’s dashboard will show a status indicator once data is flowing.

Disclaimer

Integration features and capabilities may change as AWS and Datadog release updates. Always verify the current integration features and setup requirements on Datadog’s official AWS integration page and AWS documentation before deploying in production.