Twinmind Deploy Integration

TwinMind Deploy Integration

Contents

• Overview
• Prerequisites
• Instructions
• Output
• Error Handling
• Examples
• Resources

Overview

Deploy TwinMind integrations to production cloud environments with Docker, AWS ECS/Fargate, GCP Cloud Run, Kubernetes, and GitHub Actions deployment pipelines.

Prerequisites

• Completed twinmind-ci-integration setup
• Cloud provider account (AWS, GCP, or Azure)
• Docker installed
• Terraform or Pulumi for IaC

Instructions

Step 1: Docker Configuration

Create multi-stage Dockerfile (builder + runner) with non-root user, health check, and production NODE_ENV. Add docker-compose.yml with service replicas, resource limits, Redis, and logging config.

Step 2: AWS Deployment (ECS/Fargate)

Write Terraform for Secrets Manager (API key + webhook secret), ECS cluster with container insights, Fargate task definition with secrets injection, ECS service with deployment circuit breaker, and CPU-based auto-scaling (2-10 instances, target 70%).

Step 3: GCP Deployment (Cloud Run)

Write Terraform for Secret Manager, Cloud Run v2 service with auto-scaling (1-10 instances), startup/liveness probes, service account with secret accessor role.

Step 4: Kubernetes Deployment

Create Deployment (2 replicas, resource limits, readiness/liveness probes, non-root security context), Service (ClusterIP), and HorizontalPodAutoscaler (CPU target 70%, 2-10 replicas).

Step 5: GitHub Actions Deployment

Create deploy workflow: build-and-push to ECR, deploy-staging (wait for stable), deploy-production (manual approval via environment protection).

See detailed implementation for complete Dockerfile, Terraform modules, Kubernetes manifests, and deployment workflow.

Output

• Docker configuration files
• AWS ECS/Fargate Terraform
• GCP Cloud Run Terraform
• Kubernetes manifests
• GitHub Actions deployment workflow

Error Handling

Examples

Basic usage: Apply twinmind deploy integration to a standard project setup with default configuration options.

Advanced scenario: Customize twinmind deploy integration for production environments with multiple constraints and team-specific requirements.

Resources

• AWS ECS Documentation
• GCP Cloud Run Documentation
• Kubernetes Documentation

Next Steps

For webhook handling, see twinmind-webhooks-events.