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IntegrationsOverview

Integrations Overview

AtlasAI integrates with your existing monitoring, cloud, ITSM, and communication tools. Integrations enable bidirectional data flow — pulling metrics, logs, and events into AtlasAI and pushing incidents, notifications, and actions back to your tools.

Integration Categories

Monitoring & Observability

Ingest metrics, alerts, and traces from the tools you already use.

IntegrationData FlowSetup Time
PrometheusMetrics, alerts → AtlasAI5 minutes
DatadogMetrics, logs, alerts → AtlasAI5 minutes

Cloud Providers

Discover resources, pull metrics, and manage infrastructure.

IntegrationData FlowSetup Time
AWSCloudWatch, EC2, ECS, Lambda → AtlasAI10 minutes

Container Orchestration

Monitor and manage containerized workloads.

IntegrationData FlowSetup Time
KubernetesCluster health, events, metrics ↔ AtlasAI10 minutes

ITSM & Ticketing

Synchronize incidents, changes, and service requests.

IntegrationData FlowSetup Time
ServiceNowIncidents, changes ↔ AtlasAI15 minutes
JiraIssues ↔ AtlasAI10 minutes
PagerDutyIncidents, on-call ↔ AtlasAI5 minutes

Communication

Send notifications and enable ChatOps workflows.

IntegrationData FlowSetup Time
SlackNotifications, commands ↔ AtlasAI5 minutes

Managing Integrations

All integrations are managed under Settings → Integrations in the AtlasAI UI. Each integration provides:

  • Guided setup wizard — Step-by-step configuration with validation
  • Connection health — Real-time status indicator showing whether the integration is connected
  • Data flow metrics — Volume of data ingested or synced per integration
  • Configuration history — Audit trail of configuration changes

Authentication Methods

Integrations support multiple authentication methods depending on the target system:

MethodUsed By
API KeyDatadog, PagerDuty, Slack
OAuth 2.0Jira, ServiceNow
IAM RoleAWS
Service AccountKubernetes, GCP
WebhookGeneric inbound integrations
mTLSPrometheus remote write
TroubleshootingPrometheus