355 lines
8.5 KiB
Markdown
355 lines
8.5 KiB
Markdown
# Infrastructure Consolidation Plan
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**Date**: 2025-01-27
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**Purpose**: Plan for consolidating infrastructure across all projects
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**Status**: Implementation Plan
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---
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## Executive Summary
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This plan outlines the strategy for consolidating infrastructure services across 40+ projects, reducing costs by 30-40%, and improving operational efficiency.
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**Key Goals**:
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- Shared Kubernetes clusters (dev/staging/prod)
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- Unified monitoring stack
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- Shared database services
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- Consolidated CI/CD infrastructure
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- Unified ingress and networking
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---
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## Current State Analysis
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### Infrastructure Distribution
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**Kubernetes Clusters**:
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- Multiple project-specific clusters
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- Inconsistent configurations
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- Duplicate infrastructure components
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**Databases**:
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- Separate PostgreSQL instances per project
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- Separate Redis instances per project
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- No shared database services
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**Monitoring**:
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- Project-specific Prometheus/Grafana instances
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- Inconsistent logging solutions
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- No centralized alerting
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**CI/CD**:
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- Project-specific pipelines
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- Duplicate build infrastructure
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- Inconsistent deployment patterns
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---
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## Phase 1: Shared Kubernetes Infrastructure (Weeks 5-8)
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### 1.1 Dev/Staging Cluster
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**Configuration**:
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- **Cluster**: K3s or RKE2 (lightweight, production-ready)
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- **Location**: loc_az_hci Proxmox infrastructure
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- **Namespaces**: One per project
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- **Resource Quotas**: Per namespace
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- **Networking**: Unified ingress (Traefik or NGINX)
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**Projects to Migrate**:
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- dbis_core (dev/staging)
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- the_order (dev/staging)
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- Sankofa (dev/staging)
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- Web applications (dev/staging)
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**Benefits**:
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- Reduced infrastructure overhead
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- Consistent deployment patterns
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- Shared resources (CPU, memory)
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- Unified networking
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### 1.2 Production Cluster
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**Configuration**:
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- **Cluster**: K3s or RKE2 (high availability)
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- **Location**: Multi-region (loc_az_hci + cloud)
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- **Namespaces**: One per project with isolation
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- **Resource Limits**: Strict quotas
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- **Networking**: Unified ingress with SSL/TLS
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**Projects to Migrate**:
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- dbis_core (production)
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- the_order (production)
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- Sankofa (production)
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- Critical web applications
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**Security**:
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- Network policies per namespace
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- RBAC per namespace
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- Secrets management (Vault)
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- Pod security policies
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---
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## Phase 2: Shared Database Services (Weeks 6-9)
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### 2.1 PostgreSQL Clusters
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**Dev/Staging Cluster**:
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- **Instances**: 1 primary + 1 replica
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- **Multi-tenancy**: Database per project
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- **Backup**: Daily automated backups
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- **Monitoring**: Shared Prometheus
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**Production Cluster**:
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- **Instances**: 1 primary + 2 replicas
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- **Multi-tenancy**: Database per project with isolation
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- **Backup**: Continuous backups + point-in-time recovery
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- **High Availability**: Automatic failover
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**Projects to Migrate**:
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- dbis_core
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- the_order
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- Sankofa
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- Other projects with PostgreSQL
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**Benefits**:
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- Reduced database overhead
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- Centralized backup management
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- Unified monitoring
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- Easier maintenance
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### 2.2 Redis Clusters
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**Dev/Staging Cluster**:
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- **Instances**: 1 Redis instance (multi-database)
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- **Usage**: Caching, sessions, queues
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- **Monitoring**: Shared Prometheus
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**Production Cluster**:
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- **Instances**: Redis Cluster (3+ nodes)
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- **High Availability**: Automatic failover
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- **Persistence**: AOF + RDB snapshots
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- **Monitoring**: Shared Prometheus
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**Projects to Migrate**:
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- dbis_core
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- the_order
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- Other projects with Redis
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---
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## Phase 3: Unified Monitoring Stack (Weeks 7-10)
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### 3.1 Prometheus/Grafana
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**Deployment**:
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- **Location**: Shared Kubernetes cluster
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- **Storage**: Persistent volumes (50-100 GB)
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- **Retention**: 30 days (metrics)
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- **Scraping**: All projects via service discovery
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**Configuration**:
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- Unified dashboards
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- Project-specific dashboards
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- Alert rules per project
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- Centralized alerting
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### 3.2 Logging (Loki/ELK)
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**Option 1: Loki (Recommended)**
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- **Deployment**: Shared Kubernetes cluster
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- **Storage**: Object storage (MinIO, S3)
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- **Retention**: 90 days
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- **Query**: Grafana Loki
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**Option 2: ELK Stack**
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- **Deployment**: Separate cluster or VMs
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- **Storage**: Elasticsearch cluster
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- **Retention**: 90 days
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- **Query**: Kibana
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**Configuration**:
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- Centralized log aggregation
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- Project-specific log streams
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- Log parsing and indexing
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- Search and analysis
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### 3.3 Alerting
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**System**: Alertmanager (Prometheus)
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- **Channels**: Email, Slack, PagerDuty
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- **Routing**: Per project, per severity
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- **Grouping**: Smart alert grouping
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- **Silencing**: Alert silencing interface
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---
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## Phase 4: Shared CI/CD Infrastructure (Weeks 8-11)
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### 4.1 Container Registry
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**Option 1: Harbor (Recommended)**
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- **Deployment**: Shared Kubernetes cluster
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- **Features**: Vulnerability scanning, replication
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- **Storage**: Object storage backend
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- **Access**: Project-based access control
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**Option 2: GitLab Container Registry**
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- **Deployment**: GitLab instance
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- **Features**: Integrated with GitLab CI/CD
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- **Storage**: Object storage backend
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**Configuration**:
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- Project-specific repositories
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- Automated vulnerability scanning
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- Image signing
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- Retention policies
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### 4.2 Build Infrastructure
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**Shared Build Runners**:
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- **Type**: Kubernetes runners (GitLab Runner, GitHub Actions Runner)
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- **Resources**: Auto-scaling based on queue
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- **Caching**: Shared build cache
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- **Isolation**: Per-project isolation
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**Benefits**:
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- Reduced build infrastructure
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- Faster builds (shared cache)
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- Consistent build environment
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- Centralized management
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---
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## Phase 5: Unified Networking (Weeks 9-12)
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### 5.1 Ingress Controller
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**Deployment**: Traefik or NGINX Ingress Controller
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- **SSL/TLS**: Cert-Manager with Let's Encrypt
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- **Routing**: Per-project routing rules
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- **Load Balancing**: Unified load balancing
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- **Rate Limiting**: Per-project rate limits
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### 5.2 Service Mesh (Optional)
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**Option**: Istio or Linkerd
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- **Features**: mTLS, traffic management, observability
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- **Benefits**: Enhanced security, traffic control
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- **Complexity**: Higher setup and maintenance
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---
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## Resource Requirements
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### Shared Infrastructure Totals
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**Kubernetes Clusters**:
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- **Dev/Staging**: 50-100 CPU cores, 200-400 GB RAM
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- **Production**: 100-200 CPU cores, 400-800 GB RAM
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**Database Services**:
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- **PostgreSQL**: 20-40 CPU cores, 100-200 GB RAM, 500 GB - 2 TB storage
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- **Redis**: 8-16 CPU cores, 32-64 GB RAM, 100-200 GB storage
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**Monitoring Stack**:
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- **Prometheus/Grafana**: 8-16 CPU cores, 32-64 GB RAM, 500 GB - 1 TB storage
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- **Logging**: 16-32 CPU cores, 64-128 GB RAM, 1-2 TB storage
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**CI/CD Infrastructure**:
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- **Container Registry**: 4-8 CPU cores, 16-32 GB RAM, 500 GB - 1 TB storage
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- **Build Runners**: Auto-scaling (10-50 CPU cores peak)
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**Total Estimated Resources**:
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- **CPU**: 200-400 cores (shared)
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- **RAM**: 800-1600 GB (shared)
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- **Storage**: 3-6 TB (shared)
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**Cost Reduction**: 30-40% compared to separate infrastructure
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---
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## Migration Strategy
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### Phase 1: Preparation (Weeks 1-2)
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- [ ] Design shared infrastructure architecture
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- [ ] Plan resource allocation
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- [ ] Create migration scripts
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- [ ] Set up monitoring baseline
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### Phase 2: Dev/Staging (Weeks 3-6)
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- [ ] Deploy shared dev/staging cluster
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- [ ] Migrate 3-5 projects as pilot
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- [ ] Set up shared databases (dev/staging)
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- [ ] Deploy unified monitoring (dev/staging)
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- [ ] Test and validate
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### Phase 3: Production (Weeks 7-12)
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- [ ] Deploy shared production cluster
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- [ ] Migrate projects to production cluster
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- [ ] Set up shared databases (production)
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- [ ] Deploy unified monitoring (production)
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- [ ] Complete migration
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### Phase 4: Optimization (Weeks 13+)
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- [ ] Optimize resource allocation
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- [ ] Fine-tune monitoring and alerting
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- [ ] Performance optimization
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- [ ] Cost optimization
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---
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## Security Considerations
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### Namespace Isolation
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- Network policies per namespace
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- RBAC per namespace
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- Resource quotas per namespace
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- Pod security policies
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### Secrets Management
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- HashiCorp Vault or Kubernetes Secrets
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- Encrypted at rest
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- Encrypted in transit
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- Rotation policies
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### Network Security
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- mTLS between services (optional service mesh)
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- Network policies
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- Ingress with WAF
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- DDoS protection
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---
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## Monitoring and Alerting
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### Key Metrics
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- Resource utilization (CPU, RAM, storage)
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- Application performance (latency, throughput)
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- Error rates
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- Infrastructure health
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### Alerting Rules
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- High resource utilization
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- Service failures
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- Security incidents
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- Performance degradation
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---
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## Success Metrics
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- [ ] 30-40% reduction in infrastructure costs
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- [ ] 80% of projects on shared infrastructure
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- [ ] 50% reduction in duplicate services
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- [ ] 99.9% uptime for shared services
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- [ ] 50% faster deployment times
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- [ ] Unified monitoring and alerting operational
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---
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**Last Updated**: 2025-01-27
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**Next Review**: After Phase 1 completion
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