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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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Add Datadog to PagerDuty
2016-09-15 · via Datadog | The Monitor blog

On-call teams, rejoice! PagerDuty’s new Workflow Extensions feature enables customers to configure custom workflows with add-ons, collaboration tools, and more. Now you can experience the power of Datadog dashboards and graphs directly within your PagerDuty incidents for dynamic, contextualized incident response.

pagerduty add-on

Embedded Datadog dashboards

The add-on allows you to embed real-time Datadog dashboards as top-level PagerDuty menu options, making them readily available to all responders and stakeholders for alert context.

To display your Datadog dashboard as a top-level add-on, copy your dashboard’s public URL as shown below.

pagerduty add-on

Then, copy the embed code into a new Add-on, accessible via your Extensions tab in PagerDuty, and choose the “Its own page” option.

pagerduty add-on

Inline metric graphs

You can also embed individual live metric graphs into PagerDuty with the Add-on feature. These graphs go a step further and provide detailed information on the exact metrics that triggered the alert. Combining tickets with their corresponding metric graphs helps responders drill down into the performance of relevant services or components and reduces recovery time.

pagerduty add-on

Adding your Datadog metric graphs to PagerDuty is easy: click on your metric graph in Datadog, then navigate to the “Share” tab, choose its timeframe, then generate and copy the embed code. You can then paste your graph code into a new Add-on, choosing the “Incidents on these services” option. Then, just add the services related to this metric graph. When service incidents are opened within PagerDuty, your related metric graphs will be displayed inline, providing important context for your investigation.

Once you’ve added Datadog dashboards and graphs as Add-ons in PagerDuty, you can also access them through PagerDuty’s mobile interface for alert investigation on the go.

Try it!

No one likes being paged in the middle of the night. But when you are, it is much easier to fix the issue when you have the necessary information presented in context. If you are already using PagerDuty, get contextualized incident reporting and alerting by starting a free Datadog trial and taking advantage of Add-ons today.