Search Datadog Agent

 Template

Research and provide insights to all Datadog entities

Examples: Automating Datadog Insights & Research with Tonkean

Modern enterprises rely on Datadog for real-time monitoring of their cloud infrastructure, applications, and services. However, extracting actionable insights from Datadog—especially across multiple entities like events and incidents—can be a complex, manual, and time-consuming process. With Tonkean's "Search Datadog Agent" template, operations teams can automate the research, aggregation, and distribution of Datadog insights, streamlining workflows and accelerating incident response.

Challenge: Manual Research & Siloed Insights

Enterprise IT and operations professionals often need to research Datadog events or incidents to diagnose issues, report on trends, or coordinate responses. Traditionally, this means logging into Datadog, running searches, exporting data, and manually sharing findings with stakeholders. This manual approach is not only inefficient but also increases the risk of missing critical signals.

Solution: Automated Datadog Entity Search & Reporting

The "Search Datadog Agent" template leverages Tonkean's automation platform to orchestrate Datadog research tasks. With this template, you can:

  • Automatically search across all Datadog entities—such as events, incidents, and monitors—using predefined or dynamic criteria.
  • Aggregate findings and generate actionable insights in real time.
  • Distribute insights to relevant teams via Slack, Microsoft Teams, or email using Slack intake and MS Teams intake connectors.
  • Trigger follow-up workflows, such as incident escalation or documentation, by integrating with tools like Jira, ServiceNow, or Confluence.

Example Use Case 1: Proactive Incident Response

Imagine your IT operations team wants to be notified of all Datadog incidents with a critical severity level. With Tonkean, you can set up the "Search Datadog Agent" to automatically scan for new incidents, extract relevant details (such as affected services, timestamps, and root cause analysis), and post a summary to your incident response channel in Slack. This ensures that all stakeholders are immediately informed and can take action without delay.

Example Use Case 2: Cross-Tool Orchestration

Suppose your enterprise uses Jira for ticketing and Datadog for monitoring. When a new Datadog event matches certain criteria (e.g., a recurring error pattern), Tonkean can automatically create a Jira ticket, attach the Datadog event details, and assign it to the appropriate team. This eliminates manual data entry and ensures seamless handoff between monitoring and remediation workflows.

Example Use Case 3: Centralized Reporting & Compliance

For compliance or executive reporting, operations teams often need to compile weekly or monthly summaries of Datadog incidents and events. Tonkean's template can automate the extraction of relevant data, generate a report, and distribute it via email or upload to a shared drive (e.g., Google Drive or SharePoint). This not only saves time but also improves accuracy and consistency in reporting.

Tonkean Features That Power This Template

Why Choose Tonkean for Datadog Orchestration?

Tonkean empowers enterprise operations teams to automate and orchestrate complex monitoring and incident response processes across Datadog and beyond. By centralizing insights, reducing manual effort, and integrating with the tools you already use, Tonkean helps you respond faster, improve operational resilience, and drive better business outcomes.

Learn more about how Tonkean can transform your IT and operations workflows by visiting our automation platform page, or explore additional use cases like intelligent request categorization and email inbox automation.

Ready to get started? Contact us today to see how Tonkean can help you automate Datadog research and insights at scale.

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Last Updated
December 26, 2025
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