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)
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:
- ✅ Unifique definiciones de servicios en múltiples proyectos
- ✅ Genere infraestructura válida para 3 formatos (Docker, K8s, Terraform)
- ✅ Valide cambios automáticamente antes de deployment
- ✅ Controle cambios con aprobaciones y auditoria
- ✅ Escale a 50+ proyectos sin fricción
- ✅ 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-registrycrate - 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
-
Publicar service-registry crate (CRÍTICO)
- Permite que otros proyectos usen la abstracción
- Sin esto, el patrón no es reutilizable
-
Setup central repository (CRÍTICO)
- Single source of truth
- Foundation para todo lo demás
-
CI/CD validation (IMPORTANTE)
- Previene cambios inválidos
- Protege a todos los proyectos
Lo Que Puede Esperar
-
KCL integration (NICE-TO-HAVE)
- Útil solo si usas KCL en cluster definitions
- Bajo ROI si no
-
Multi-region (NICE-TO-HAVE)
- Solo relevante para ciertos use cases
- Agregar después de completar foundation
-
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.