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Hosted vs. Self-Hosted

Runlayer runs either as a Runlayer-hosted deployment or self-hosted in your own infrastructure. What runs where:
Runlayer-hostedSelf-hosted
Gateway, platform app, database, audit logsSingle-tenant deployment in an AWS account Runlayer operates for youYour AWS account or Kubernetes cluster, deployed via the Terraform/Helm options below
UpdatesApplied by Runlayer — see UpdatesApplied by you on your schedule
OAuth BrokerAvailable (shared Runlayer infrastructure at oauth.runlayer.com)Not reachable — OAuth falls back to per-vendor setup
AI Watch (Shadow AI device agent)Runs on employee devices in both models; talks only to your tenant host over HTTPS — see Deploy AI WatchSame, including air-gapped networks (no public-internet egress required)
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.

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:
POC shapeProduction path
Runlayer-hosted single tenantUsually expands by adding users, connectors, policies, and MDM scope in the same tenant.
Customer-owned AWS/EKS/ECSCan roll forward if the POC was deployed with the production account, VPC, domain, secrets, backup, and upgrade posture you want to keep.
Temporary sandbox or throwaway VPCUsually redeploy production infrastructure, then migrate configuration intentionally.
Detect-only or monitoring-only endpoint pilotExpand MDM scope, then enable Enforcement and broader Sessions coverage after scanner tuning.
Public docs do not publish standard POC timelines or success criteria.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.

Deployment Options

Runlayer supports multiple deployment methods to fit different infrastructure requirements, from staging to enterprise production environments.

EKS + Terraform

Kubernetes on AWSProduction-ready EKS cluster with RDS, Redis, and full infrastructure

ECS + Terraform

Serverless ContainersSimpler AWS deployment with ECS Fargate (no Kubernetes required)

Helm + Kubernetes

Application DeploymentDeploy application on existing Kubernetes clusters with Helm

Runlayer Operator

Multi-tenant EKSUnified operator for RunlayerInstance + MCPServer on shared clusters

Choosing Your Deployment Method

EKS + Terraform - Kubernetes on AWS

Best for:
  • Production Kubernetes workloads
  • Organizations wanting AWS-managed Kubernetes
  • Teams needing advanced orchestration
  • Multi-application shared clusters
Three Deployment Modes:
  • Full Stack: Create new VPC + new EKS cluster + application infrastructure
  • Existing VPC: Use existing VPC + create new EKS cluster
  • Existing EKS: Use existing cluster + add application infrastructure only
Features:
  • Managed EKS cluster (Kubernetes 1.33)
  • Auto-scaling node groups
  • Managed Aurora PostgreSQL with backups
  • ElastiCache Redis for performance
  • IAM Roles for Service Accounts (IRSA)
  • AWS Load Balancer Controller
  • CloudWatch observability
  • KMS encryption
Requirements:
  • AWS account with appropriate permissions
  • Terraform 1.7+
  • kubectl for cluster access
  • Helm 3.8+ for application deployment

ECS + Terraform - Serverless Containers

Best for:
  • Simpler production deployments
  • Organizations wanting serverless containers
  • Teams without Kubernetes expertise
  • AWS-native deployments
Two Configuration Options:
  • Minimal: 4 required parameters, smart defaults (fastest deployment)
  • Enterprise: 160+ customizable options (full control)
Features:
  • Auto-scaling ECS Fargate services
  • Managed Aurora PostgreSQL with backups
  • ElastiCache Redis for performance
  • Application Load Balancer with SSL
  • CloudWatch monitoring and logging
  • VPC with security groups
  • Simpler than Kubernetes
Requirements:
  • AWS account with appropriate permissions
  • Domain name you control (required for SSL auto-creation)
  • Terraform 1.5+
  • AWS CLI configured

Helm + Kubernetes - Application Deployment

Best for:
  • Organizations using Kubernetes
  • Teams wanting container orchestration
  • AWS EKS or other managed Kubernetes services
  • Production environments requiring high availability
Features:
  • Kubernetes-native deployment with Helm charts
  • AWS IAM role integration for Bedrock access
  • Support for embedded or external databases
  • Certificate management (ACM or Let’s Encrypt)
  • Horizontal pod autoscaling
  • Network policies and security contexts
Requirements:
  • Kubernetes 1.19+
  • Helm 3.8+
  • kubectl configured
  • AWS IAM role with Bedrock permissions (for AWS deployments)

Architecture Comparison

EKS + Terraform Architecture

ECS + Terraform Architecture

Component Comparison

ComponentEKS + TerraformECS + TerraformHelm + Kubernetes
ComputeEKS PodsECS FargateKubernetes Pods
DatabaseAurora PostgreSQLAurora PostgreSQLPostgreSQL/External
CacheElastiCache RedisElastiCache RedisRedis/External
Load BalancerALB + IngressApplication LBIngress Controller
MonitoringCloudWatchCloudWatchBasic health checks
ScalingHPA + Cluster AutoscalerAuto-scalingHPA
BackupsAutomatedAutomatedManual
ComplexityHighMediumMedium
Cost$200-800/mo$130-225/moVaries

Security Considerations

EKS + Terraform Security

  • VPC with private subnets
  • Security groups with least privilege
  • KMS encryption for Kubernetes secrets
  • IAM Roles for Service Accounts (IRSA)
  • Network policies for pod isolation
  • Pod security contexts
  • Encrypted databases and storage
  • SSL/TLS with ACM certificates
  • CloudTrail for audit logging

ECS + Terraform Security

  • VPC with private subnets
  • Security groups with least privilege
  • Encrypted databases and storage
  • SSL/TLS termination at load balancer
  • Secrets management with AWS Secrets Manager
  • CloudTrail for audit logging
  • Task role IAM policies

Kubernetes Security (Helm)

  • Network policies for pod isolation
  • Pod security contexts
  • Service account with IAM role integration
  • Encrypted secrets with Kubernetes secrets
  • RBAC for fine-grained access control

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:
StrategyWho owns the accountIsolation boundaryBest for
Dedicated account (Runlayer-operated)Runlayer runs a single-tenant deployment in an account it operates for youAWS account boundaryTeams that want single-tenant isolation without operating the infrastructure
Dedicated account (customer-owned)You create a separate “platform” account and deploy Runlayer there with EKS or ECS TerraformAWS account boundaryEnterprises with strict isolation or account-per-workload policies
Shared account/VPCYou deploy into an existing account using the Existing VPC or Existing EKS modesVPC/subnet and security groupsTeams consolidating infrastructure to reduce cost and network complexity
Multi-tenant shared clusterOne account, multiple isolated tenants via the Runlayer OperatorPer-tenant namespaces (runlayer-<customerId>) plus per-tenant RDS, Redis, and IAM rolesPlatform teams running Runlayer for multiple internal orgs on one EKS cluster
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.

Cost Considerations

EKS + Terraform

Estimated Monthly Cost (us-east-1):
  • Full Stack: $723-1,088/month
    • EKS control plane: $73
    • EC2 nodes (4x m6i.2xlarge): $400-500
    • Aurora PostgreSQL (2-16 ACUs): $60-240
    • ElastiCache Redis: $40-50
    • NAT Gateways (3 AZs): $100-120
    • ALB + Data Transfer: $40-80
  • Existing VPC: Save $100-120/month (no NAT Gateway costs)
  • Existing EKS: $150-395/month (RDS + Redis + data transfer only)

ECS + Terraform

Estimated Monthly Cost (us-west-2):
  • Minimal Configuration: $130-225/month
    • Aurora PostgreSQL (2-16 ACUs)
    • ECS Fargate (2 backend + 2 frontend)
    • ElastiCache Redis
    • Application Load Balancer
  • Enterprise Configuration: $360-950/month
    • Higher capacity database and compute
    • Enhanced monitoring and backups
    • Custom scaling and security

Helm + Kubernetes

Cost: Depends on your Kubernetes infrastructure
  • AWS EKS: Use EKS + Terraform above
  • Self-managed: Your infrastructure costs
  • Other cloud providers: Varies by provider and configuration
These are infrastructure cost estimates, not Runlayer commercial pricing. Public docs do not publish seat minimums, SKU packaging, or whether endpoint visibility, custom MCP hosting, managed connectors, and analytics are billed separately. Ask your Runlayer account team for commercial terms.

Performance Characteristics

DeploymentResponse TimeThroughputAvailability
EKS + Terraform< 100ms1000+ req/s99.9%+
ECS + Terraform< 100ms1000+ req/s99.9%+
Helm + Kubernetes< 150ms500+ req/s99.5%+

Getting Started

1

Choose Your Method

Select the deployment method that best fits your needs and requirements
2

Prepare Prerequisites

Install required tools and set up accounts/credentials
3

Configure Settings

Set up domain names, certificates, and configuration values
4

Deploy

Follow the specific deployment guide for your chosen method
5

Verify

Test the deployment and configure initial users and policies

Next Steps

EKS + Terraform

Deploy Kubernetes infrastructure on AWS EKS

ECS + Terraform

Deploy serverless containers on AWS ECS

Helm + Kubernetes

Deploy application on Kubernetes with Helm