Self-deployed runtime Private Preview

Atlan Self-Deployed Runtime enables deploying and running Atlan applications on your infrastructure, that can interact with your data systems and perform activities like gathering metadata.

Why self-deployed runtime

Self-Deployed Runtime keeps your data secure while giving you the flexibility to deploy anywhere and manage everything centrally:

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Zero data exposure

No inbound connectivity (ingress) to the source applications from the Atlan tenant
Source-system credentials/secrets never leave your infrastructure
No ingress to the Self-Deployed Runtime application from the Atlan tenant
Audit trail and system logs for all activities/connections

🌐

Deploy anywhere

Works with any OCI-compatible runtime
Managed container orchestration (AWS Elastic Container Service, Azure Container Instances, Google Cloud Run)
Managed Kubernetes clusters (AWS Elastic Kubernetes Service, Azure Kubernetes Service, GKE)
Docker, Podman, or on-premises Kubernetes deployments

🛡️

Enterprise-ready

Built-in monitoring and alerting
Horizontal/Vertical scaling based on demand
Professional support and updates
Connects with external systems for auditing and compliance

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Centralized management

Configure Atlan workflows to run on App deployments
Monitor execution centrally from the Atlan tenant
Check status of each Self-Deployed Runtime application
Manage schedules across workflow execution

Get started

Deploy

Choose your platform and deploy the App

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Configure

Configure the Atlan workflow to run on the deployed application.

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Run

Manage schedule, run job, view status, monitor execution and download logs

Why self-deployed runtime​