syntaxis/docs/provision/implementation-roadmap.md
Jesús Pérez 9cef9b8d57 refactor: consolidate configuration directories
Merge _configs/ into config/ for single configuration directory.
Update all path references.

Changes:
- Move _configs/* to config/
- Update .gitignore for new patterns
- No code references to _configs/ found

Impact: -1 root directory (layout_conventions.md compliance)
2025-12-26 18:36:23 +00:00

19 KiB

🗺️ Hoja de Ruta de Implementación: De Acá Hacia Producción

Fecha: 2025-11-20 Fase: Estrategia de escalamiento Horizonte: 6-12 meses


🎯 Objetivo Final

Construir un sistema de gestión de servicios centralizado, multi-proyecto, production-grade que:

  1. Unifique definiciones de servicios en múltiples proyectos
  2. Genere infraestructura válida para 3 formatos (Docker, K8s, Terraform)
  3. Valide cambios automáticamente antes de deployment
  4. Controle cambios con aprobaciones y auditoria
  5. Escale a 50+ proyectos sin fricción
  6. Proporcione observabilidad y recuperación ante fallos

📊 Estado Actual vs. Objetivo

ESTADO ACTUAL (hoy 2025-11-20)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ Service catalog (TOML) - completo
✅ Rust integration module - completo
✅ Docker/K8s/Terraform generators - completo
✅ CLI tool (8 comandos) - completo
✅ Test suite (34 tests) - completo
✅ Basic documentation - completo

⚠️ Single project focus
⚠️ Manual validation
⚠️ No change control
⚠️ No observability
⚠️ No disaster recovery
⚠️ No multi-project governance

ESTADO OBJETIVO (mes 12)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ Multi-project service registry
✅ Automated change control (git + CI/CD)
✅ Cross-project validation
✅ Observability dashboard
✅ Disaster recovery procedures
✅ Governance & compliance
✅ KCL integration (optional)
✅ Production deployment

📅 Fases de Implementación

FASE 1: Foundation (Meses 1-2)

1.1 Extraer ServiceRegistry Abstraction

Objetivo: Crear un crate reutilizable

// New crate: service-registry
// Publicable en crates.io

pub trait ServiceRegistry {
    async fn load(&mut self, config_path: &Path) -> Result<()>;
    fn list_services(&self) -> Vec<&Service>;
    fn validate(&self) -> Result<()>;
    // ... more methods
}

pub trait CodeGenerator {
    fn generate(&self, registry: &ServiceRegistry, pattern: &str) -> Result<String>;
}

Deliverables:

  • Extract service-registry crate
  • Implement traits
  • Add documentation
  • Publish to crates.io
  • Create examples

Effort: 1 week

1.2 Setup Central Repository

Objetivo: Crear monorepo centralizado para multi-proyecto

central-service-registry/
├── services/
│   ├── catalog.toml          ← Global service definitions
│   ├── versions.toml
│   └── versions/
│       ├── v1.0/catalog.toml
│       ├── v1.1/catalog.toml
│       └── v1.2/catalog.toml
│
├── projects/                 ← Multi-tenant configs
│   ├── project-a/
│   │   ├── services.toml
│   │   ├── deployment.toml
│   │   └── monitoring.toml
│   ├── project-b/
│   └── project-c/
│
├── infrastructure/           ← KCL schemas
│   ├── staging.k
│   └── production.k
│
├── policies/                 ← Governance
│   ├── security.toml
│   ├── compliance.toml
│   └── sla.toml
│
└── .github/
    └── workflows/            ← CI/CD pipelines
        ├── validate.yml
        ├── generate.yml
        └── deploy.yml

Deliverables:

  • Create monorepo structure
  • Migrate syntaxis definitions
  • Setup git repository
  • Configure permissions/RBAC
  • Create documentation

Effort: 1 week

1.3 CI/CD Pipeline (Validation)

Objetivo: Validación automática en cada PR

name: Validate Service Definitions

on: [pull_request]

jobs:
  validate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Schema Validation
        run: |
          cargo run --bin service-registry -- validate \
            --config services/catalog.toml

      - name: Dependency Analysis
        run: |
          cargo run --bin service-registry -- check-deps

      - name: Cross-Project Impact
        run: |
          cargo run --bin service-registry -- impact-analysis

      - name: Generate Preview
        run: |
          cargo run --bin service-registry -- generate \
            --format docker,kubernetes,terraform

      - name: Security Scan
        run: |
          cargo run --bin service-registry -- security-check

      - name: Comment PR with Results
        uses: actions/github-script@v6
        with:
          script: |
            // Post validation results

Deliverables:

  • GitHub Actions workflows
  • Validation scripts
  • Preview generation
  • PR comments with results

Effort: 1 week

Total Fase 1: 3 semanas


FASE 2: Multi-Project Support (Meses 2-3)

2.1 Multi-Tenant Service Registry

Objetivo: Soportar múltiples proyectos con herencia

// Enhancement to service-registry

pub struct MultiProjectRegistry {
    global_registry: ServiceRegistry,
    project_registries: HashMap<String, ServiceRegistry>,
}

impl MultiProjectRegistry {
    /// Get service, resolving from global or project-specific
    pub fn get_service_for_project(
        &self,
        project: &str,
        service_id: &str,
    ) -> Option<Service> {
        // 1. Check project-specific override
        if let Some(svc) = self.project_registries[project].get(service_id) {
            return Some(svc);
        }

        // 2. Fall back to global
        self.global_registry.get(service_id)
    }

    /// Validate cross-project dependencies
    pub async fn validate_cross_project(&self) -> Result<()> {
        for (project_name, registry) in &self.project_registries {
            // Check all dependencies exist in global or project registries
            for service in registry.list_services() {
                for dep in &service.dependencies.requires {
                    if !self.service_exists(dep) {
                        return Err(format!(
                            "Service {} required by {} in {} not found",
                            dep, service.name, project_name
                        ))?;
                    }
                }
            }
        }
        Ok(())
    }
}

Deliverables:

  • Multi-tenant registry implementation
  • Inheritance mechanism
  • Cross-project validation
  • Tests

Effort: 1 week

2.2 Governance & Policies

Objetivo: Definir reglas de cambios y compliance

# policies/governance.toml

[change_control]
# Quién puede cambiar qué
breaking_changes_require = ["@platform-team", "@security-team"]
version_bumps_require = ["@maintainer"]
config_changes_require = ["@ops-team"]

[sla]
# Service Level Agreements por criticidad
[sla.critical]
availability = "99.99%"
response_time_p99 = "100ms"
support_hours = "24/7"
rto = "5m"
rpo = "1m"

[sla.high]
availability = "99.9%"
response_time_p99 = "200ms"
support_hours = "business"
rto = "30m"
rpo = "5m"

[compliance]
# Regulatory requirements
pci_dss_applicable = true
hipaa_applicable = false
gdpr_applicable = true

encryption = {
    in_transit = "required",
    at_rest = "required",
    algorithm = "AES-256"
}

audit = {
    enabled = true,
    retention_days = 365,
    log_all_access = true
}

Deliverables:

  • Policy schema (TOML)
  • Policy validation engine
  • Enforcement in CI/CD
  • Audit logging

Effort: 1 week

2.3 Breaking Change Detection & Migration

Objetivo: Detectar y notificar cambios que rompen

pub struct BreakingChangeDetector;

impl BreakingChangeDetector {
    /// Compare old and new service definitions
    pub fn detect_breaking_changes(
        &self,
        old: &Service,
        new: &Service,
    ) -> Vec<BreakingChange> {
        let mut changes = Vec::new();

        // Removed properties
        if old.properties.len() > new.properties.len() {
            changes.push(BreakingChange::RemovedProperties {
                properties: /* ... */
            });
        }

        // Port changes
        if old.port != new.port {
            changes.push(BreakingChange::PortChanged {
                old: old.port,
                new: new.port,
            });
        }

        // Version incompatibility
        if !new.is_backward_compatible_with(old) {
            changes.push(BreakingChange::IncompatibleVersion {
                old_version: old.version.clone(),
                new_version: new.version.clone(),
            });
        }

        changes
    }

    /// Create migration guide
    pub fn create_migration_guide(
        &self,
        change: &BreakingChange,
        affected_projects: &[&str],
    ) -> MigrationGuide {
        // Generate step-by-step migration guide
        // Link to documentation
        // Estimate effort
    }
}

Deliverables:

  • Breaking change detection
  • Migration guide generation
  • Affected project notification
  • Deprecation workflow

Effort: 1.5 weeks

Total Fase 2: 3.5 semanas


FASE 3: Observability & Control (Meses 3-4)

3.1 Deployment Tracking

Objetivo: Rastrear qué versión está dónde

// New module: deployment-tracker

pub struct DeploymentTracker {
    db: Database, // SQLite, SurrealDB, Postgres
}

impl DeploymentTracker {
    /// Record deployment
    pub async fn record_deployment(
        &self,
        service: &str,
        version: &str,
        target: &str,    // staging, prod-us-east, etc.
        timestamp: DateTime,
        deployer: &str,
    ) -> Result<()> {
        // Store in database
    }

    /// Get current deployments
    pub async fn get_current_versions(&self, target: &str) -> Result<HashMap<String, String>> {
        // service-name -> version mapping
    }

    /// Get deployment history
    pub async fn get_history(
        &self,
        service: &str,
        days: u32,
    ) -> Result<Vec<Deployment>> {
        // Return last N deployments with metadata
    }
}

Deliverables:

  • Deployment tracker implementation
  • Database schema
  • API endpoints
  • Dashboard integration

Effort: 1.5 weeks

3.2 Monitoring & Alerting

Objetivo: Dashboard centralizado de estado

# monitoring-stack.yml

apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: service-registry-monitor
spec:
  selector:
    matchLabels:
      app: service-registry-exporter

  endpoints:
  - port: metrics
    interval: 30s

metrics:
  - service_count{project="", status="active"}
  - service_health{service="", endpoint=""}
  - deployment_success_rate{service="", target=""}
  - change_approval_time_seconds{service=""}
  - breaking_change_count{month=""}
  - sla_compliance_percentage{service=""}

alerts:
  - name: ServiceNotHealthy
    condition: service_health{status="down"} == 1
    duration: 5m
    severity: critical

  - name: DeploymentFailed
    condition: deployment_success_rate < 0.95
    duration: 10m
    severity: high

  - name: SLAViolation
    condition: sla_compliance_percentage < 99.9
    duration: 15m
    severity: high

Deliverables:

  • Metrics exporter
  • Prometheus integration
  • Grafana dashboards
  • Alert rules

Effort: 2 weeks

3.3 Incident Management

Objetivo: Respuesta automatizada ante fallos

pub struct IncidentManager {
    slack: SlackClient,
    github: GitHubClient,
    metrics: MetricsClient,
}

impl IncidentManager {
    /// Auto-create incident when SLA violated
    pub async fn handle_sla_violation(&self, service: &str, metric: &str) -> Result<()> {
        // 1. Create GitHub issue
        let issue = self.github.create_issue(
            &format!("SLA Violation: {} - {}", service, metric),
            &format!("Service {} violated {} threshold", service, metric),
        ).await?;

        // 2. Notify team
        self.slack.post_message(
            "#incidents",
            &format!("🚨 SLA Violation for {}: {}\n<{}>",
                service, metric, issue.html_url),
        ).await?;

        // 3. Check if rollback needed
        if self.should_rollback(service).await? {
            self.initiate_rollback(service).await?;
        }

        Ok(())
    }
}

Deliverables:

  • Incident auto-creation
  • Slack notifications
  • Automatic rollback logic
  • Escalation workflow

Effort: 2 weeks

Total Fase 3: 5.5 semanas


FASE 4: Advanced Features (Meses 4-6)

4.1 KCL Integration (Optional)

Objetivo: Generar esquemas KCL desde catalog

pub struct KclGenerator;

impl CodeGenerator for KclGenerator {
    fn generate(&self, registry: &ServiceRegistry, pattern: &str) -> Result<String> {
        let mut kcl = String::from("#!/usr/bin/env kcl\n");

        for service in registry.get_pattern_services(pattern)? {
            kcl.push_str(&format!(
                r#"service_{name} = {{
    name: "{display_name}",
    type: "{stype}",
    port: {port},
    replicas: 1,
    resources: {{
        memory: "{memory}Mi",
        cpu: "{cpu}m"
    }}
}}
"#,
                name = service.name,
                display_name = service.display_name,
                stype = service.service_type,
                port = service.port,
                memory = service.metadata.min_memory_mb,
                cpu = 100
            ));
        }

        Ok(kcl)
    }
}

Deliverables:

  • KCL generator
  • Integration tests
  • Documentation

Effort: 2 weeks (low priority)

4.2 GitOps Integration (ArgoCD/Flux)

Objetivo: Despliegue automático desde git

# argocd/app.yaml

apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
  name: syntaxis-services
spec:
  project: default
  source:
    repoURL: https://github.com/org/service-registry
    path: generated/kubernetes/production
    targetRevision: main
    plugin:
      name: service-registry-plugin
  destination:
    server: https://kubernetes.default.svc
    namespace: syntaxis
  syncPolicy:
    automated:
      prune: true
      selfHeal: true
    syncOptions:
    - CreateNamespace=true

Deliverables:

  • ArgoCD setup
  • Flux alternative
  • Automated sync
  • Rollback policies

Effort: 2 weeks

4.3 Multi-Region Deployment

Objetivo: Deploy a múltiples regiones

[deployment.multi-region]
regions = ["us-east", "eu-west", "ap-southeast"]
strategy = "active-active"

[deployment.region.us-east]
cluster = "k8s-us-east-prod"
canary_percentage = 5
traffic_split = "50%"

[deployment.region.eu-west]
cluster = "k8s-eu-west-prod"
canary_percentage = 5
traffic_split = "30%"

[deployment.region.ap-southeast]
cluster = "k8s-ap-southeast-prod"
canary_percentage = 5
traffic_split = "20%"

Deliverables:

  • Multi-region deployment logic
  • Traffic splitting
  • Failover policies
  • Monitoring per-region

Effort: 3 weeks

Total Fase 4: 7 semanas


FASE 5: Production Hardening (Meses 6-9)

5.1 Disaster Recovery

Objetivo: RTO < 1 hora, RPO < 5 minutos

Backup Strategy:
├─ Git Repository (continuous)
│  └─ Mirrored to 2 regions
│
├─ Docker Images (daily)
│  ├─ Tagged with date
│  ├─ Replicated to backup registry
│  └─ 90-day retention
│
├─ Database (hourly)
│  ├─ Point-in-time recovery
│  ├─ Cross-region replication
│  └─ 30-day retention
│
└─ etcd backup (every 10 min)
   ├─ Automated backup
   ├─ 7-day rolling window
   └─ Tested monthly

Restore Procedures:
├─ Git restore: 5 min
├─ Service registry restore: 10 min
├─ Full cluster restore: 45 min
└─ Data restore: 15 min

Deliverables:

  • Backup automation
  • Restore procedures
  • Monthly DR drills
  • Documentation

Effort: 2 weeks

5.2 Security Hardening

Objetivo: SOC2, ISO27001 ready

Areas:
├─ Access Control (RBAC)
│  ├─ Role-based git access
│  ├─ API key rotation
│  └─ Audit logging
│
├─ Encryption
│  ├─ Data in transit (TLS)
│  ├─ Data at rest (AES-256)
│  └─ Key management (Vault)
│
├─ Compliance
│  ├─ Audit trails
│  ├─ Change control
│  └─ Vulnerability scanning
│
└─ Secrets Management
   ├─ HashiCorp Vault
   ├─ Sealed secrets in K8s
   └─ Automatic rotation

Deliverables:

  • RBAC policies
  • Encryption implementation
  • Compliance checklist
  • Security audit

Effort: 3 weeks

5.3 Documentation & Runbooks

Objetivo: Operabilidad sin fricción

├─ Standard Operating Procedures (SOPs)
│  ├─ How to add service
│  ├─ How to deploy
│  ├─ How to troubleshoot
│  ├─ How to rollback
│  └─ How to handle incidents
│
├─ Runbooks
│  ├─ Incident response
│  ├─ Performance degradation
│  ├─ Data loss recovery
│  └─ Service migration
│
├─ Architecture Decision Records (ADRs)
│  ├─ Why TOML not KCL
│  ├─ Why centralized registry
│  └─ Technology choices
│
└─ Training Materials
   ├─ Operator training
   ├─ Developer guide
   └─ Video walkthroughs

Deliverables:

  • 20+ SOPs
  • 10+ Runbooks
  • 5+ ADRs
  • Training videos

Effort: 3 weeks

Total Fase 5: 8 semanas


📊 Resumen de Esfuerzo

FASE 1: Foundation             3 weeks
FASE 2: Multi-Project          3.5 weeks
FASE 3: Observability          5.5 weeks
FASE 4: Advanced               7 weeks
FASE 5: Production             8 weeks
──────────────────────────────────────────
TOTAL                          27 weeks ≈ 6 meses

🎯 Métricas de Éxito

Fase 1 (Foundation)

  • service-registry crate published to crates.io
  • CI/CD pipeline running on all PRs
  • Zero validation failures in main

Fase 2 (Multi-Project)

  • 3+ proyectos onboarded
  • Cross-project dependency validation 100% passed
  • Breaking changes detected and communicated

Fase 3 (Observability)

  • Dashboard showing all deployments
  • < 5 min incident detection time
  • SLA compliance > 99.5%

Fase 4 (Advanced)

  • Multi-region deployment working
  • KCL integration (if pursued)
  • GitOps 100% automated

Fase 5 (Production)

  • SOC2 audit passed
  • RTO < 1 hour verified
  • Team fully trained

💡 Recomendaciones

Lo Importante Ahora

  1. Publicar service-registry crate (CRÍTICO)

    • Permite que otros proyectos usen la abstracción
    • Sin esto, el patrón no es reutilizable
  2. Setup central repository (CRÍTICO)

    • Single source of truth
    • Foundation para todo lo demás
  3. CI/CD validation (IMPORTANTE)

    • Previene cambios inválidos
    • Protege a todos los proyectos

Lo Que Puede Esperar

  1. KCL integration (NICE-TO-HAVE)

    • Útil solo si usas KCL en cluster definitions
    • Bajo ROI si no
  2. Multi-region (NICE-TO-HAVE)

    • Solo relevante para ciertos use cases
    • Agregar después de completar foundation
  3. ArgoCD/Flux (IMPORTANTE)

    • GitOps es el futuro
    • Pero puede hacerse después de Fase 2

📋 Checklist de Inicio

  • Team alignment en la estrategia
  • Presupuesto y resources asignados
  • Ambiente de testing disponible
  • Acceso a repositorio central
  • Permisos CI/CD configurados
  • Comunicación del plan a stakeholders

Conclusión: Este roadmap transforma el sistema de una solución single-project (hoy) a una plataforma enterprise multi-proyecto (mes 12) mientras mantiene la calidad y confiabilidad.