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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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Integrate Alibaba's DingTalk with Datadog for faster troubleshooting
2019-09-30 · via Datadog | The Monitor blog

Real-time collaboration helps teams resolve issues quickly, which is crucial during outages when you don’t have a minute to lose. If your organization is using DingTalk, Alibaba’s platform for cross-team communication and collaboration, Datadog’s new integration lets you share and discuss annotated graphs on the fly and route alerts to your teams’ group chats so you can start troubleshooting issues without skipping a beat.

Send Datadog alerts to DingTalk groups

In complex, ever-changing cloud environments, it’s virtually impossible to detect issues manually. Automated alerts notify you of critical events in your infrastructure so you can quickly start investigating the root cause. With Datadog, you can set up alerts to automatically detect significant changes in your Alibaba Cloud environment, like an unexpected deficit in available memory or a spike in 5xx errors from your Server Load Balancer instances. With this integration, you can send these alert notifications to specific DingTalk groups to ensure that the correct team(s) know about the issues that matter most. Within the Notify your team field of the alert’s configuration page, enter @dingtalk-<GROUP_NAME> for each DingTalk group you want to notify.

enter your DingTalk group name into the notify your team field to send alerts to your DingTalk group

In the screenshot above, we are configuring an alert on 5xx errors from Alibaba’s Cloud Content Delivery Network. If this alert triggers, Datadog will push the notification to the “DevOps100” DingTalk group. The notification will include a message as well as a link to the alert within your Datadog account so that team members know exactly where to look to get more context around the issue. In this case, Datadog detected an unexpected spike in 5xx errors on our Alibaba Cloud CDN instances. If you click on the link, you can view a history of times the alert was previously triggered and then navigate to relevant metrics, logs, and distributed request traces collected from the related Alibaba services you’re monitoring with Datadog.

Our integration sends Datadog alerts to DingTalk for fast collaboration.

Discuss annotated snapshots in DingTalk

When you’re collaborating with your team to resolve a user-facing performance issue, sharing data-driven insights can add more clarity to your discussion. In Datadog, you can annotate any graph in your dashboards to highlight a potential issue or specific trend that you want to discuss with your team.

To annotate a graph, click on it and select “Annotate this graph.” Then highlight the relevant portions of the graph and use the same @dingtalk-<GROUP_NAME> syntax to send the graph to one or more DingTalk groups, along with your comment or question. Sharing annotated snapshots is a fast and easy way to determine whether a trend or anomaly you noticed was expected (e.g., related to routine maintenance) or if it warrants further investigation.

Tagging your DingTalk group in graph and widget comments will notify your team of issues you want to bring to their attention.

In addition to annotations, you can also spark a discussion by using Datadog’s copy/paste feature to share graphs and widgets in a DingTalk group chat or directly with any of your contacts. Group members will see a preview image that links to the original visualization and dashboard in the Datadog app, making it easy for everyone on your team to get more context around potential issues and discuss next steps for remediation.

Keep everyone in the loop

Datadog is pleased to add DingTalk to our more than 1,000 integrations, which include other collaboration platforms like PagerDuty and Slack. Along with DingTalk, Datadog also integrates with Alibaba Cloud services such as Server Load Balancer, Elastic Compute Service (ECS), and ApsaraDB RDS. Together, these integrations will help you get visibility into your Alibaba Cloud environment and collaborate to resolve issues in real time. To get started with our DingTalk integration, follow the steps outlined here.

If you’re not already using Datadog, sign up today for a 14-day free trial .