Queue raises $18M Series A

Queue raises $18M Series A

Queue raises $18M Series A

Datadog

A monitoring and analytics platform for cloud-scale applications, infrastructure, and logs.

Overview

Datadog is the leading monitoring and analytics platform for cloud-scale applications and infrastructure. It provides full-stack observability across metrics, traces, logs, and security — giving engineering teams a single pane of glass for their entire stack.

The Datadog integration for Queue enables AI agents to react to monitors and alerts, query metrics, and trigger operational workflows automatically — transforming observability signals into coordinated, agent-driven responses.

How it works

Queue provides prebuilt Datadog workflows that connect AI agents to your monitoring and alerting infrastructure.

Alert Response

Trigger Queue agent workflows when Datadog monitors fire — automatically escalating alerts, notifying on-call teams, and initiating remediation steps without waiting for manual intervention.

Metrics Querying

Query Datadog metrics and dashboards from agent logic — using real-time infrastructure and application data to make informed decisions about deployments, scaling, and incident response.

Incident Automation

Automate incident declaration, severity assignment, and stakeholder communication when Datadog detects anomalies — compressing your mean time to resolution with agent-coordinated response workflows.

Configure

  1. Open the Queue dashboard and navigate to Integrations

  2. Search for Datadog and select the integration

  3. Generate a Datadog API key and Application key and connect your account

  4. Select the monitors, dashboards, and services you want Queue to access

  5. Configure alert routing, escalation rules, and AI agent workflows for your observability pipeline

Built by

Datadog

Category

Monitoring

More

Monitoring

Apps

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Build, review, test, and maintain software with specialized AI agents that integrate directly into your existing workflows.

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