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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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Monitor AWS Health status with Datadog
2018-02-13 · via Datadog | The Monitor blog

AWS Health is a service that provides continuous visibility into the status of your entire AWS environment. It delivers near-real-time alerts in response to changes in the health of AWS resources, including upcoming maintenance events and unexpected issues. This information is available in the AWS Personal Health Dashboard and through the AWS Health API.

Datadog’s new integration helps you monitor the health of your AWS environment by automatically creating rich, contextual events from the AWS Health API. And, because Datadog also integrates with more than 1,000 infrastructure technologies (including other AWS services), you can easily correlate these AWS Health status events with metrics and events from the rest of your infrastructure, all in one place.

aws health status event

Keeping tabs on your AWS environment

When an AWS service change occurs, the Health API generates a detailed event object. First and foremost, this object has a human-readable eventDescription of what occurred. One such example can be seen below:

Elevated Latency and API Error Rate 04:49 PM PST We are investigating

increased API error rates and latencies for the Amazon EC2 Container Service APIs

in the US-WEST-2 Region. Container instance connectivity and

running tasks are not affected.

The Health API also provides metadata for each event. There are a few important key:value pairs that make this event object particularly useful:

  • eventTypeCategory: issue | accountNotification | scheduledChange
  • region: The AWS region where the event occurred
  • service: The AWS service that is affected by the event, e.g., EC2
  • statusCode: open | closed | upcoming

Datadog’s AWS Health integration allows us to go one step further and capture the Affected Entities from the change. Entities can refer to specific resources, groups of resources, and even entire AWS accounts.

Several pieces of metadata about the affected entities are returned from the AWS Health API, including:

  • awsAccountId: The 12-digit AWS account number that contains the affected entity
  • entityARN: The unique identifier for the affected entity
  • statusCode: IMPAIRED | UNIMPAIRED | UNKNOWN

We capture all of this information to create context-rich events in Datadog. Each AWS Health status event will appear in Datadog as an event, with the AWS eventDescription as its description, and tagged with the relevant metadata in key:value form (e.g., event_category:issue, status:open, region:us-east-1, service:ec2). Each event also includes a JSON-formatted Affected Entities section, for easy string matching.

With this information, users can find out about AWS service changes more quickly and be better prepared to troubleshoot issues that affect specific resources throughout their infrastructure and applications.

Alerting on AWS Health service issues

While having this information in Datadog is useful on its own, the full value of this integration comes when pairing it with event alerts. You can set up an event alert to get notified when a specific type of Amazon Health status issue occurs, using string matching, tags, and more to narrow down the scope of your alert. In the example below, we use the Amazon Health source and a few tags that are associated with Amazon Health events (status:open, event_category:issue) to quickly create an alert that will notify us when AWS has an open issue.

This alert prevents the all-too-common situation where you notice a problem with your infrastructure, and attempt to triage and remedy the situation, only to find out several minutes later that the issue extends beyond your environment to the underlying infrastructure. Now, you can receive a notification in near real time whenever AWS is having a problem, and implement a failover solution to avoid any unwanted downtime.

Start monitoring AWS Health status

If you’re already using Datadog, follow the instructions here to integrate AWS Health with Datadog. Please note that the AWS Health API is only accessible to AWS Support customers who have a Business or Enterprise support plan. Therefore this integration is only available to those customers.

If you don’t yet have a Datadog account, sign up for a 14-day free trial to get complete visibility into your AWS environment.