Q&A: Deployment, Scaling & Production Hardening — Running CactusRalph-Coder at Scale

[AGI-Corporation]

Deployment, Scaling & Production Hardening Deep-Dive Q&A

This thread covers deploying CactusRalph-Coder in production — Docker, cloud hosting, scaling under load, high availability, cost optimization, and hardening for enterprise environments.

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Common Questions

Docker & containerization

• What is the recommended Docker setup for running CactusRalph-Coder in production?
• How do I build a minimal Docker image (multi-stage build, layer caching)?
• How are environment variables and secrets managed in the container?
• Is there a docker-compose.yml for the full stack (agent + backend + database)?

Cloud deployment

• What cloud platforms are best supported (AWS, GCP, Azure, Railway, Fly.io)?
• How do I deploy on AWS ECS or EKS with auto-scaling?
• Is there a Terraform or Pulumi config for cloud deployment?
• How do I use managed GPU instances for local model inference?

Scaling & concurrency

• How does the system handle multiple concurrent agent sessions?
• How do I scale the agent workers horizontally?
• Is there a rate limiter to prevent runaway LLM API usage?
• How are long-running agent tasks managed (timeouts, retries, heartbeats)?

High availability & reliability

• How do I configure health checks and restart policies for the agent service?
• What happens if the LLM provider API goes down mid-task?
• Is there a fallback model or provider that kicks in on failure?
• How do I set up alerting for agent failures or high latency?

Cost optimization

• How do I set hard limits on LLM token spend per session or per day?
• Can I route simple tasks to cheaper models and complex tasks to more powerful ones?
• How do I monitor and visualize token usage and cost over time?

Security hardening

• How do I run the agent in a network-isolated environment?
• What ports need to be exposed, and which should be firewalled?
• How do I protect the agent API with authentication in production?
• Is there guidance for running in a FedRAMP or SOC 2 compliant environment?

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Share your deployment configs, cloud setup tips, cost optimization strategies, and production lessons learned below.