Add cloud deployment infrastructure and bare metal hosting guide for C++ applications

[Copilot]

Adds production-ready Infrastructure as Code (Terraform) and comprehensive documentation for deploying C++ data engineering applications on bare metal infrastructure across Linode, DigitalOcean, and AWS.

Infrastructure as Code

Linode - Dedicated CPU deployment (8 cores, 32GB RAM)

• terraform/linode/ - Instance provisioning, firewall rules, block storage
• scripts/ - System initialization and SimpleDB deployment automation

DigitalOcean - Dedicated Droplets with load balancing

• terraform/digitalocean/ - Droplet configuration, VPC, optional LB
• Cloud-init integration for automated setup

AWS + Weights & Biases - GPU-accelerated ML workloads

• terraform/wandb/ - g4dn.xlarge GPU instances for ML training
• W&B experiment tracking integration

Documentation

docs/cloud_development.md (1,776 lines)

• Provider comparison and selection criteria
• Performance optimization for C++ on bare metal (CPU pinning, huge pages, NUMA)
• Production monitoring stack (Prometheus, Grafana)
• Security hardening (firewalls, SSH, encryption at rest)
• Cost analysis and optimization strategies

QUICKSTART.md

• 5-minute deployment workflow
• Common operations reference

Example: ML Query Optimizer with W&B Integration

// examples/wandb/ml_query_optimizer.cpp
class WandBLogger {
    void log(const std::string& key, double value, int step = 0);
};

QueryOptimizer optimizer;
optimizer.train_model(20);  // Metrics automatically logged to W&B dashboard
optimizer.optimize_query("SELECT * FROM users WHERE age > 25");

Demonstrates C++ application integration with Weights & Biases for experiment tracking in production ML pipelines.

Key Features

• Complete deployment automation from terraform apply to running database
• Network optimization configs (TCP buffers, backlog tuning)
• Resource limits and kernel parameters for high-performance C++ workloads
• Backup/restore procedures and health check scripts
• Multi-region and HA configuration examples

All Terraform configurations follow provider best practices with proper state management, security groups, and output variables for integration.

Original prompt

Lets create a new item here called cloud development and go in depth on how to host cloud items such as my databse example on baremetal hardware.
Provide examples with different cloud provider susing terraform to host
Bare metal
LEts create a couple of examples with linode, digital ocean and weights nad biases to run some example applications on abremetal hardware with CPP.
LEts deploy my databse application bare metal in one of these for example. Provide comprehesnive document. Searcho nline for resoruces and provide compelte end to end solution

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