How to Connect Datadog to ChatGPT (No Code)

The fastest way to connect Datadog to ChatGPT is through the native Windsor.ai app: connect your Datadog account to Windsor once, then install the free Windsor.ai app inside ChatGPT and ask questions about your monitors, downtimes, SLOs, and dashboards in plain language. No code, no manual log exports, and no custom GPT actions to configure.

Checking on monitoring status the usual way means logging into the Datadog UI, clicking through monitors and downtime schedules one at a time, or exporting audit logs just to answer a simple question like “what changed last night.” Once Datadog is connected through Windsor, you can ask ChatGPT directly instead, and if you track other operational or business data too, it becomes one place to ask questions across all of it rather than switching between tools.

2 steps to connect Datadog to ChatGPT

Takes under a minute, no code or manual log exports required.

For the full walkthrough, see how to integrate data into ChatGPT.

Prerequisites

• A Windsor.ai account (free forever plan, no credit card, or paid from $19/month)
• A Datadog account or organization with monitors, downtimes, SLOs, or dashboards already set up
• A ChatGPT account

Step 1. Connect Datadog to Windsor.ai

• Create a free Windsor.ai account, or log in if you already have one
• Go to onboard.windsor.ai/app/datadog and select Datadog
• Authorize Windsor to access your Datadog organization
• Connect more than one Datadog organization if you monitor several environments

Step 2. Connect the Windsor.ai app in ChatGPT

In ChatGPT, open the connectors settings, search for Windsor.ai, and install it as a native app. Approve the requested access, and Windsor’s connected data sources, including Datadog, become available to query from inside your chat.

Once installed, confirm the connection is live:

List the data sources connected to my Windsor account. Do you see Datadog there?

Once ChatGPT confirms Datadog is connected, you’re ready to ask about your monitoring setup in natural language.

The metrics that matter for Datadog

Metric	What it tells you
monitors.overall_state	Whether a monitor is currently OK, Alert, Warn, or No Data, the fastest signal of what’s actually broken right now.
monitors.priority	The priority level assigned to a monitor, so you know which alerts to act on first when several fire at once.
monitors.tags	The tags attached to a monitor, such as service, team, or environment, useful for filtering alerts by ownership.
downtimes.scope	Which monitors or tags a downtime applies to, so you can see exactly what’s being muted and why.
downtimes.status	Whether a downtime is currently active, scheduled, or canceled, telling you if an alert is being suppressed right now.
downtimes.monitor_id	The specific monitor a downtime is tied to, linking every mute window back to the alert it silences.
service_level_objectives.target_threshold	The SLO goal you’ve committed to, the number your error budget is measured against.
service_level_objectives.timeframe	The rolling window an SLO is measured over, which sets how much room you have left before a breach.
synthetic_tests.status	Whether a synthetic test is currently passing or failing, a stand-in for whether a user-facing flow actually works.
synthetic_tests.locations	Which geographic locations a synthetic test runs from, so you can tell if an issue is regional or global.
dashboards.modified_at	When a dashboard was last edited, useful for knowing whether a view still reflects your current setup.
audit_logs.type	The kind of action recorded in an audit log entry, so you can track configuration changes over time.

What to ask ChatGPT: prompt ideas

Monitoring and alert status

Which monitors are currently in an alert state, and how long have they been unhealthy?

List all monitors with downtimes scheduled this week, and who scheduled them.

Service-level objectives and synthetic tests

Show our SLOs with their target and warning thresholds, and flag any that are close to breach.

Which synthetic tests failed recently, and which monitor is each one tied to?

Dashboards and audit activity

Which dashboards were modified in the last 30 days, and by whom?

This connection is read-only, so ChatGPT can report on your monitors, downtimes, SLOs, and dashboards, but it can’t silence a monitor, acknowledge an alert, or resolve an incident in Datadog.

Other ways to connect Datadog to ChatGPT

Manual export

You can export monitors, downtimes, or audit logs from Datadog into a spreadsheet or CSV. That gives you a snapshot of your monitoring setup at one point in time, but it goes stale the moment anything changes and has to be re-exported manually to stay current.

Zapier or Make

Zapier or Make can pass Datadog events into other tools as part of an automated workflow. That’s useful for triggering actions elsewhere, but it means building and maintaining a workflow rather than being able to ask a direct question about your monitoring data whenever you need to.

Neither approach gives you the live, queryable view that connecting Datadog to Windsor does.

Conclusion

Connecting Datadog to ChatGPT through Windsor.ai takes two steps and a couple of minutes: link your Datadog account to Windsor, then install the Windsor.ai app in ChatGPT. From there, you can ask about monitors, downtimes, SLOs, and dashboards without opening the Datadog UI, and blend that data with any of Windsor’s other 350+ sources if you need a fuller operational picture.

🚀 Ready to connect Datadog to ChatGPT? Connect Datadog to Windsor.ai free and start asking ChatGPT about your monitoring data today.