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[Task] docs: Create production deployment guide for the ecosystem #333

Description

@kcenon

Summary

Create a production deployment guide covering how to deploy applications built with the kcenon ecosystem, including configuration, monitoring, troubleshooting, and operational best practices.

Parent Issue

Part of: [EPIC] docs: Address documentation gaps across all ecosystem systems (#325)

Background (Why)

While individual system documentation covers development usage, there is no guide for deploying kcenon-based applications to production. Developers transitioning from development to production need guidance on:

  • Production-appropriate configuration
  • Monitoring and alerting setup
  • Log management at scale
  • Performance tuning for production workloads
  • Troubleshooting common production issues

Scope (What)

Create docs/PRODUCTION_GUIDE.md covering:

1. Production Configuration

Thread System

  • Thread pool sizing for production (cores × N formula)
  • Autoscaler configuration for variable workloads
  • Queue sizing and overflow policies

Logger System

  • Log level strategy (ERROR/WARN in production)
  • Rotation and retention configuration
  • Structured logging format for log aggregation
  • Async logging for performance

Database System

  • Connection pool sizing
  • Query timeout configuration
  • Failover and retry configuration

Network System

  • Connection limits and backlog sizing
  • TLS configuration (cipher suites, cert rotation)
  • Keep-alive and timeout tuning
  • Rate limiting configuration

Monitoring System

  • Metrics export interval
  • Alert threshold configuration
  • Dashboard setup

2. Deployment Patterns

Pattern Architecture Use Case
Monolith All systems in one process Simple deployment
Microservice Systems split across services Scale independently
Sidecar Monitoring/logging as sidecar Kubernetes

3. Container Deployment

  • Docker image best practices
  • Docker Compose example
  • Kubernetes deployment manifests
  • Health check endpoint configuration

4. Monitoring and Alerting

  • Key metrics to monitor per system
  • Alert thresholds and escalation
  • Dashboard templates (Grafana, etc.)
  • Log aggregation setup (ELK, Loki)

5. Troubleshooting Guide

  • High CPU: diagnosis and resolution
  • Memory leaks: detection and mitigation
  • Connection issues: debugging steps
  • Performance degradation: investigation workflow

6. Security Hardening

  • TLS everywhere configuration
  • Log sanitization for PII
  • Credential management
  • Network isolation recommendations

7. Upgrade and Rollback

  • Version compatibility matrix
  • Rolling upgrade procedure
  • Rollback procedure
  • Configuration migration between versions

Acceptance Criteria

  • Configuration guide for all systems in production mode
  • At least 3 deployment patterns documented
  • Container deployment examples (Docker, K8s)
  • Monitoring and alerting setup guide
  • Troubleshooting guide with common issues
  • Security hardening checklist
  • Upgrade/rollback procedures

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documentationImprovements or additions to documentationpriority:mediumMedium priority issue

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