Autonomous alert investigation
Every Datadog monitor that fires kicks off an investigation. Resolve AI queries the relevant metrics, logs, and traces before you even open your laptop.
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Give your AI SRE eyes on Datadog. Resolve AI ingests metrics, logs, traces, dashboards, and monitors to investigate every alert, correlate changes across your stack, and surface root cause in minutes — not hours.
Read-only accessSet up in minutesData redaction built in

Datadog is a cloud-scale observability and security platform that unifies metrics, traces, and logs in one place. Engineering teams use it to monitor infrastructure and applications end to end — from Kubernetes clusters and serverless functions to APM traces, real-user monitoring, and SLOs — with more than 900 built-in integrations.
For teams running production on Datadog, it is the system of record for what is happening right now. Connecting it to Resolve AI turns that telemetry into action: every monitor that fires becomes an autonomous investigation that queries your Datadog metrics, logs, traces, and dashboards the way an experienced SRE would.
Resolve AI agents work with Datadog the way your best engineer would — querying metrics, scanning logs, and reading dashboards — except they start the moment a monitor fires.
Every Datadog monitor that fires kicks off an investigation. Resolve AI queries the relevant metrics, logs, and traces before you even open your laptop.
Link a latency spike in Datadog APM to the deploy that caused it. Pairing Datadog with your code and infra integrations connects symptoms to changes.
Resolve AI reads your Datadog dashboards and notebooks to understand what "normal" looks like for each service before reasoning about anomalies.
Investigations end in ranked hypotheses, each backed by the exact Datadog queries, charts, and log lines that support them.
With the service map enabled, Resolve AI traces issues across dependencies — upstream causes, downstream symptoms.
Wire monitors to @webhook-resolveai and routine alerts arrive with the investigation already done — root cause, evidence, suggested fix.
Everything the Datadog integration supports, with step-by-step guides in the Datadog docs.
Connect with a Datadog API key and App key restricted to read scopes — APM, dashboards, events, logs, metrics, monitors, notebooks, RUM, SLOs, teams, and usage. Service accounts are supported.
View docs ↗Add a named connection in the Resolve UI: paste your keys, set the site domain, scope to specific environments, and toggle the service map — no agent install required.
View docs ↗Keep credentials inside your cluster: store keys in a Kubernetes secret, declare the integration in resolve-values.yaml, and deploy with Helm.
View docs ↗Route monitors to Resolve with @webhook-resolveai so every alert opens an investigation automatically — including monitors managed with Terraform.
View docs ↗Data is grouped by environment (production, staging, us-west) and matched across your Satellite and observability tools, so alerts, logs, and dashboards link up during investigations.
View docs ↗Enable redaction per connection — in the UI toggle or via redactionConfig in the Satellite values file — so no PII or PHI leaves your environment.
View docs ↗Resolve AI reads the minimum Datadog data needed to understand, reason, and act with confidence. Nothing more.
That's it. Access is read-only, scoped to the data types above, and every connection supports sensitive data redaction.
Each integration follows a simple, guided flow — in the Resolve UI or via the Resolve Satellite for Kubernetes-native, credentials-stay-with-you deployments.
In Datadog, create an API key and an App key named "resolve" with read-only scopes for metrics, logs, APM, dashboards, monitors, and events.
Open the Datadog integration in Resolve, paste your keys, set your site domain, and optionally enable sensitive data redaction and the service map.
Add @webhook-resolveai to your Datadog monitors so every alert automatically kicks off a Resolve AI investigation.
Once the connection shows a green checkmark, ask your first question and watch Resolve AI investigate with your live Datadog data.
Flexible and secure integrations — the same controls across every connection to your stack.
Read-only access to the minimum Datadog data needed to investigate. Tokens are scoped, never broad admin credentials.
Token or API-key auth with encrypted, private connections. Deploy via the Resolve Satellite to keep credentials inside your cluster.
No PII, PHI, or sensitive data. Redaction is quick to enable per connection — only the minimum data required to deliver value.
Read-only scopes only: apm_read, dashboards_read, events_read, logs_read_data, metrics_read, monitors_read, slos_read, and similar read scopes. Resolve AI never needs write or admin access to your Datadog account.
Resolve AI ingests only the minimum data required to investigate — logs, traces, metrics, events, and dashboards. Sensitive data redaction can be enabled per connection so no PII or PHI leaves your environment.
Yes. Each connection is named (for example Datadog-Main or Datadog-EU) and you can scope each one to specific environments. Environment names must match across your tools so Resolve can link alerts, logs, and dashboards.
Yes. With the Resolve Satellite you store your Datadog API and App keys in a Kubernetes secret inside your own cluster and connect via Helm — credentials never leave your infrastructure.
Through Datadog webhooks. You create a webhook token in Resolve, register it in the Datadog Webhooks integration, and add @webhook-resolveai to each monitor — including monitors managed with Terraform.
Connect at least two integrations — like Telemetry + Code — to unlock cross-stack correlations, such as linking a performance spike directly to a recent commit. Browse all integrations.
Put your Datadog data to work. Connect once and let Resolve AI agents investigate alerts, correlate changes, and find root cause across your production systems.
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