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Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis Monitor Aruba Central in Datadog How we centralize and remediate risks with Datadog Case Management Accelerate incident response with Datadog and ServiceNow Monitor your application and network load balancer logs Understanding Karpenter architecture for Kubernetes autoscaling Tools for collecting metrics and logs from Karpenter Monitor Karpenter with Datadog What your product data is actually saying Key metrics for monitoring Karpenter Securing Datadog’s platform in the AI age: The role of observability data Four ways engineering teams use the Datadog MCP Server to power AI agents Approaching your observability migration with the right mindset Meet the new Bits AI SRE: Deeper reasoning, twice as fast Key learnings from the 2026 State of DevSecOps study Use plain English to query your multi-cloud infrastructure in Resource Catalog Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring Protect your OCI resources with Datadog Cloud Security This Month in Datadog - 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See the performance impact of AWS changes with CloudTrail and Datadog
Quentin Francois · 2014-06-13 · via Datadog | The Monitor blog

Last fall during re:Invent 2013, Amazon Web Services released CloudTrail, a log of key events and configuration changes of AWS services. You can use this log not only as an audit trail to enforce compliance, but also as a key data source to understand your application & infrastructure performance.

CloudTrail events can be essential to understand unexpected changes in application & infrastructure performance. Maybe EC2 instances were spawned with the wrong type or configuration or a load balancer was provisioned with an incorrect number of backends. In many cases getting that extra insight is very helpful to get to the bottom of a performance issue.

CloudTrail stores these events in a series of log files in S3. Log files are helpful to understand the sequence of events, but you need to do extra work to extract these events and correlate them with the rest of your performance metrics.

Datadog does that work for you. We’re pleased to make this process easy and to enable highly visual correlation analysis of CloudTrail events with performance metrics through a new integration with AWS CloudTrail.

How Datadog enhances CloudTrail logs

After the set-up of the Datadog AWS integration, Datadog collects a subset of CloudTrail logs from S3. Once brought into Datadog, CloudTrail logs will immediately show up as events in Datadog’s Events Stream and are available for an entire team to view and comment on.

To zero in on CloudTrail events in Datadog, pick “Amazon Web Services” on the left-hand side column of the Events Stream.

CloudTrail logs are indexed and tagged with metadata inherited from AWS such as the region, availability zone, instance type, security group, etc. to make finding specific CloudTrail events easier.

AWS-Cloudtrail-event

You can search for any event using more sophisticated queries. In this example, we show a list of past CloudTrail events tied to a given security group with the query: “tags: security-group:sg-xxxyyyzzz sources:aws”.

Monitor AWS CloudTrail

Understand the performance impact of AWS changes

Since Datadog indexes CloudTrail logs, you can overlay AWS CloudTrail events on any graph for any metric to look for correlation between changes in the AWS environment and changes in application performance.

In the example below, on the left-hand side you can see the search for “sources:aws launched” has found three EC2 instance launches recorded by CloudTrail. The right-hand side is the graph of a “backlog” metric that is dangerously increasing. The instance launches are marked as vertical bars on the graph.

Datadog makes the correlation between launching EC2 instances and the size of the backlog clear: once all three instances have been launched to consume that backlog, it subsides.

Monitor AWS CloudTrail

Troubleshoot issues with your team

Datadog’s Events Stream provides a platform for collaboration. All events can be used to start a conversation by simply mentioning another user’s name. In this example, one of the users asks for help about a failure to launch new EC2 instances, by mentioning @user in the event’s comment section.

Monitor AWS CloudTrail

This can also be used to broadcast notifications through messaging systems like PagerDuty and OpsGenie or chat platforms like HipChat and Slack.

If you want to better understand the performance of your applications on AWS with CloudTrail, Datadog is available with a fully-featured 14 day free trial. CloudTrail logs and CloudWatch metrics will be immediately available after connecting the AWS integration.