Hosted vs. Self-Hosted
Runlayer runs either as a Runlayer-hosted deployment or self-hosted in your own infrastructure. What runs where:
In both models your organization gets an isolated deployment — you are not sharing a database with other Runlayer customers. See Account Strategy & Isolation below for the available topologies, including a Runlayer-operated dedicated account.
Deployment Options
Choose the platform you will operate:
See each platform’s prerequisites for provider constraints, cluster features, quotas, and version compatibility.
Getting Started
Preparation shared by both platforms:- Choose your account/project, region, application hostname, and deployment model.
- Collect Runlayer-provided inputs: release pins, artifact access, authentication, and the catalog key.
- Prepare network and egress access for core services and selected features.
- If using Sentry Relay, prepare its credentials.
- Follow your platform’s ordered guide below.
ECS + Terraform
AWS identity and state → network and configuration → deploy → verify
Kubernetes
Cluster → external dependencies → workload identity → Operator deployment → verify
Account Strategy & Isolation
A common question is whether Runlayer should live in a separate AWS account from your applications and data systems. Runlayer supports several account topologies:
Running Runlayer in a dedicated account gives the strongest blast-radius isolation (separate IAM, CloudTrail, and billing), at the cost of managing an extra account and any cross-account networking. Sharing an account or VPC is simpler operationally but relies on VPC, security group, and IAM boundaries instead of the account boundary.
A separate account does not require copying credentials for your data systems into it. Hosted connectors can use cross-account IAM role assumption (
infrastructure.aws.assume_roles) to call AWS APIs in your production accounts without storing long-lived access keys.POC to Production
A proof of concept can use the same product surfaces as production — connectors, policies, Sessions, AI Watch, audit logs, and analytics — but whether it can roll forward without redeployment depends on the deployment boundary you choose:
Public docs do not publish standard POC timelines or success criteria. Use Sessions, Analytics, Incidents, and Audit Logs as the evidence sources during a pilot.