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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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AWS Distro for OpenTelemetry sends metrics and traces to Datadog
Michael Gerstenhaber · 2020-10-21 · via Datadog | The Monitor blog
Michael Gerstenhaber

Michael Gerstenhaber

Datadog has a long-standing commitment to open standards. Our integrations with OpenMetrics, JMX, and WMI, as well as our implementation of the tried-and-true StatsD protocol, enable you to collect data with the tools and libraries that fit best into your workflows. The source code for the Datadog Agent, as well as for our distributed tracing libraries, is open source and available on GitHub, and we are proud of our ongoing partnership with the OpenTelemetry project, which is a unified, vendor-agnostic set of tools for collecting system and application telemetry data.

That’s why we’re excited to support the public preview of AWS Distro for OpenTelemetry, which enables customers to send metrics and traces to any supported monitoring backend, including Datadog. By embracing open standards and providing data portability, AWS and Datadog are helping users improve their monitoring workflows, regardless of their architectures.

AWS extends the CNCF OpenTelemetry project

AWS Distro for OpenTelemetry extends the upstream CNCF OpenTelemetry project by collecting metadata from AWS resources, as well as trace data from AWS SDK and AWS X-Ray. The SDKs, auto-instrumentation agents, and collectors that comprise the distribution have been carefully optimized, secured, and tested by AWS to ensure that they don’t degrade the performance or stability of your systems.

AWS Distro for OpenTelemetry collects metrics and traces from your instrumented applications, encodes this data according to OTLP specifications, and then sends it to any supported backend service. This flexible approach to telemetry collection helps customers get deep visibility into the health and performance of their applications while leveraging the monitoring solution that works best for them.

Configure AWS Distro for OpenTelemetry to send data to Datadog

You can easily configure AWS Distro for OpenTelemetry to send metrics and traces to Datadog by adding a datadog exporter to your OpenTelemetry configuration YAML file along with your Datadog API key, as shown below. The site parameter is optional and is only necessary for sending data to the Datadog EU site.

datadog:

api:

key: "<API_KEY>"

site: datadoghq.eu

If you plan to collect traces, you will also need to include a batch processor in your configuration file, as demonstrated below. This will send batches of trace data to Datadog every 10 seconds in order to ensure efficient and accurate trace metrics processing.

processors:

batch:

timeout: 10s

For more information on setting up the Datadog exporter, refer to the AWS Distro for OpenTelemetry documentation, as well as the Datadog documentation.

A bright future for open standards

Our contributions to OpenTelemetry have helped countless organizations to auto-instrument their applications across multiple languages and frameworks, no matter which monitoring solution they use. By packaging AWS Distro for OpenTelemetry with a Datadog exporter, AWS has further broken down barriers to data portability, making it possible for Datadog customers to easily view metrics and traces collected by the distribution alongside monitoring data from our 1,000+ integrations. We’re thrilled to be partnering with AWS on OpenTelemetry, and we can’t wait to see what the future holds for open source and open standards.

If you’re new to Datadog, get started with a 14-day free trial.