Best AI Assistant for Datadog

What Carly can do with Datadog

Check service health on demand

Email or text Carly to get the current status of any service monitored in Datadog. She'll report on active alerts, error rates, and key metrics so you know where things stand without opening the console.

Pull metric summaries

Ask Carly for specific metrics — CPU usage, request latency, error counts — over any time window. She pulls the data from Datadog and sends you a clear summary by email.

Review alerts and incidents

Ask Carly for a rundown of triggered, muted, or resolved monitors. She'll list what fired, when, and what recovered — useful for standup prep or post-incident reviews.

Get dashboard snapshots

Tell Carly which Datadog dashboard you need and she pulls the current data points. Great for sharing infrastructure status with stakeholders who don't have Datadog access.

Why engineering teams are using AI to manage Datadog

Datadog gives you deep visibility into your infrastructure, applications, and logs — but that visibility comes with constant noise. Alerts fire, dashboards pile up, and checking the health of a service means opening the console, navigating to the right dashboard, and parsing graphs. Multiply that by a dozen services and it eats into the time you should be spending fixing things.

AI tools for Datadog should cut through that noise. Instead of opening multiple browser tabs to check if a deployment is healthy or pulling up monitors one by one before a standup, you should be able to ask a quick question and get a clear answer. The observability data is already there — the bottleneck is how fast you can get to it.

How Carly works as your AI Datadog assistant

Carly connects to your Datadog account through the API. Once connected, you interact with your monitoring data over email or text — like having an on-call teammate who can instantly pull up any metric or alert status.

Notice latency climbing after a deploy? Email Carly to pull the p99 latency for your API service over the last hour. Heading into an incident review? Ask Carly for a summary of all triggered monitors from the past 24 hours. Need a quick health check before the morning standup? Text Carly and she sends back the status of your key services and any open alerts.

Because Carly works across 200+ tools, she can connect your Datadog data to other parts of your workflow. She can check if a Datadog alert lines up with a recent deployment in GitHub, or create a Linear ticket from an incident summary — all without you switching between tabs.

Who uses Carly with Datadog

Engineering leads who want a quick infrastructure pulse without diving into dashboards every morning. On-call engineers who need to check alert status and metric trends from their phone. DevOps teams running multiple services who want a faster way to triage what's healthy and what's not. If your team relies on Datadog but loses time navigating the console for routine checks, Carly gives you that data on demand.

See it in action

Mail

Datadog — morning health check 2 messages

Y

You 8:42 AM

To: Carly

Carly, can you pull the current status of our payment-service and checkout-api monitors in Datadog? Also grab the p99 latency for both over the last 2 hours.

C

Carly 8:43 AM

To: You

Here's your morning health check from Datadog: **payment-service** • Monitor status: OK (all green) • p99 latency (last 2h): 210ms — stable, no spikes **checkout-api** • Monitor status: Warn — "High Error Rate" triggered at 7:58 AM • p99 latency (last 2h): 480ms — elevated since ~8:00 AM Looks like checkout-api has been throwing more errors since about 8 AM. Want me to pull the error logs or check if any deploys went out this morning?

How to connect Datadog to Carly

1

Sign up for Carly

Create your account in under 2 minutes.

2

Connect Datadog

Authorize the Datadog integration from your Carly dashboard. One click, and you're connected.

3

Start giving instructions

Email or text Carly with what you need done in Datadog. She handles the rest.

Automate Datadog in 2 minutes

No complex setup. No code. Just tell Carly what you need.

Get Started →

Frequently asked questions

What is the best AI tool for Datadog?

Carly is an AI assistant that connects to Datadog and lets you check service health, pull metric summaries, review alerts, and get dashboard data — all by email or text. She works from outside the Datadog console so you can get observability data without logging in.

Can AI pull Datadog metrics on demand?

Yes. With Carly, you email or text a request like "pull the p99 latency for checkout-api over the last 4 hours" and Carly queries Datadog and sends you the results. No need to navigate dashboards or build queries manually.

How does Carly connect to Datadog?

Go to your Carly dashboard, click Connect next to Datadog, and provide your API and application keys. Once connected, Carly can query metrics, check monitor statuses, and pull dashboard data from your Datadog account.

Can Carly summarize Datadog alerts?

Yes. Ask Carly for a summary of triggered, warning, or resolved monitors over any time period. She'll list which alerts fired, when they triggered, and their current status — useful for standups and incident reviews.

Can Carly connect Datadog data to other tools?

Yes. Because Carly connects to 200+ tools, she can cross-reference Datadog alerts with GitHub deployments, create Linear or Asana tickets from incidents, or send Slack-style summaries to your email — all in one request.

Is Carly different from Datadog's built-in notifications?

Yes. Datadog notifications push alerts when thresholds are breached. Carly is an on-demand assistant you email or text to pull any metric, check any monitor, or get a health summary whenever you need it — not just when something breaks.

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