Chapter 6.1: Deployment Strategies
EventCore applications require careful deployment planning to ensure high availability, data consistency, and smooth rollouts. This chapter covers production-ready deployment patterns and strategies.
Container-Based Deployment
Docker Configuration
EventCore applications containerize well with proper configuration:
# Multi-stage build for optimized production image
FROM rust:1.87-slim as builder
WORKDIR /usr/src/app
COPY Cargo.toml Cargo.lock ./
COPY src ./src
# Build with release optimizations
RUN cargo build --release --locked
# Runtime image
FROM debian:bookworm-slim
# Install runtime dependencies
RUN apt-get update && apt-get install -y \
ca-certificates \
libssl3 \
&& rm -rf /var/lib/apt/lists/*
# Create non-root user
RUN useradd -r -s /bin/false eventcore
# Copy application
COPY --from=builder /usr/src/app/target/release/eventcore-app /usr/local/bin/
RUN chmod +x /usr/local/bin/eventcore-app
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost:8080/health || exit 1
USER eventcore
EXPOSE 8080
CMD ["eventcore-app"]
Environment Configuration
Use environment variables for configuration:
# Database configuration
DATABASE_URL=postgresql://user:pass@db:5432/eventcore
DATABASE_MAX_CONNECTIONS=20
DATABASE_ACQUIRE_TIMEOUT=30s
# Application configuration
HTTP_PORT=8080
LOG_LEVEL=info
LOG_FORMAT=json
# Performance tuning
COMMAND_TIMEOUT=30s
EVENT_BATCH_SIZE=100
PROJECTION_WORKERS=4
# Security
JWT_SECRET_KEY=/run/secrets/jwt_key
CORS_ALLOWED_ORIGINS=https://myapp.com
# Monitoring
METRICS_PORT=9090
TRACING_ENDPOINT=http://jaeger:14268/api/traces
HEALTH_CHECK_INTERVAL=30s
Docker Compose for Development
version: '3.8'
services:
eventcore-app:
build: .
ports:
- "8080:8080"
- "9090:9090"
environment:
DATABASE_URL: postgresql://postgres:password@postgres:5432/eventcore
LOG_LEVEL: debug
METRICS_PORT: 9090
depends_on:
postgres:
condition: service_healthy
networks:
- eventcore
restart: unless-stopped
postgres:
image: postgres:17-alpine
environment:
POSTGRES_DB: eventcore
POSTGRES_USER: postgres
POSTGRES_PASSWORD: password
ports:
- "5432:5432"
volumes:
- postgres_data:/var/lib/postgresql/data
- ./migrations:/docker-entrypoint-initdb.d
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 10s
timeout: 5s
retries: 5
networks:
- eventcore
prometheus:
image: prom/prometheus:latest
ports:
- "9091:9090"
volumes:
- ./config/prometheus.yml:/etc/prometheus/prometheus.yml
- prometheus_data:/prometheus
command:
- '--config.file=/etc/prometheus/prometheus.yml'
- '--storage.tsdb.path=/prometheus'
- '--web.console.libraries=/etc/prometheus/console_libraries'
- '--web.console.templates=/etc/prometheus/consoles'
- '--web.enable-lifecycle'
networks:
- eventcore
grafana:
image: grafana/grafana:latest
ports:
- "3000:3000"
environment:
GF_SECURITY_ADMIN_PASSWORD: admin
volumes:
- grafana_data:/var/lib/grafana
- ./config/grafana:/etc/grafana/provisioning
networks:
- eventcore
volumes:
postgres_data:
prometheus_data:
grafana_data:
networks:
eventcore:
driver: bridge
Kubernetes Deployment
Application Deployment
apiVersion: apps/v1
kind: Deployment
metadata:
name: eventcore-app
namespace: eventcore
labels:
app: eventcore
component: application
spec:
replicas: 3
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
selector:
matchLabels:
app: eventcore
component: application
template:
metadata:
labels:
app: eventcore
component: application
spec:
serviceAccountName: eventcore
securityContext:
runAsNonRoot: true
runAsUser: 1000
fsGroup: 1000
containers:
- name: eventcore-app
image: eventcore:latest
imagePullPolicy: Always
ports:
- containerPort: 8080
name: http
- containerPort: 9090
name: metrics
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: eventcore-secrets
key: database-url
- name: JWT_SECRET_KEY
valueFrom:
secretKeyRef:
name: eventcore-secrets
key: jwt-secret
envFrom:
- configMapRef:
name: eventcore-config
resources:
requests:
memory: "256Mi"
cpu: "250m"
limits:
memory: "512Mi"
cpu: "500m"
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
timeoutSeconds: 5
failureThreshold: 3
readinessProbe:
httpGet:
path: /ready
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
timeoutSeconds: 3
failureThreshold: 3
volumeMounts:
- name: config
mountPath: /etc/eventcore
readOnly: true
volumes:
- name: config
configMap:
name: eventcore-config
---
apiVersion: v1
kind: Service
metadata:
name: eventcore-service
namespace: eventcore
labels:
app: eventcore
component: application
spec:
type: ClusterIP
ports:
- port: 80
targetPort: 8080
protocol: TCP
name: http
- port: 9090
targetPort: 9090
protocol: TCP
name: metrics
selector:
app: eventcore
component: application
---
apiVersion: v1
kind: ConfigMap
metadata:
name: eventcore-config
namespace: eventcore
data:
HTTP_PORT: "8080"
METRICS_PORT: "9090"
LOG_LEVEL: "info"
LOG_FORMAT: "json"
COMMAND_TIMEOUT: "30s"
EVENT_BATCH_SIZE: "100"
PROJECTION_WORKERS: "4"
HEALTH_CHECK_INTERVAL: "30s"
---
apiVersion: v1
kind: Secret
metadata:
name: eventcore-secrets
namespace: eventcore
type: Opaque
data:
database-url: <base64-encoded-database-url>
jwt-secret: <base64-encoded-jwt-secret>
Database Configuration
apiVersion: postgresql.cnpg.io/v1
kind: Cluster
metadata:
name: postgres-cluster
namespace: eventcore
spec:
instances: 3
primaryUpdateStrategy: unsupervised
postgresql:
parameters:
max_connections: "200"
shared_buffers: "256MB"
effective_cache_size: "1GB"
maintenance_work_mem: "64MB"
checkpoint_completion_target: "0.9"
wal_buffers: "16MB"
default_statistics_target: "100"
random_page_cost: "1.1"
effective_io_concurrency: "200"
bootstrap:
initdb:
database: eventcore
owner: eventcore
secret:
name: postgres-credentials
storage:
size: 100Gi
storageClass: fast-ssd
monitoring:
enabled: true
backup:
target: prefer-standby
retentionPolicy: "30d"
data:
compression: gzip
encryption: AES256
jobs: 2
wal:
compression: gzip
encryption: AES256
---
apiVersion: v1
kind: Secret
metadata:
name: postgres-credentials
namespace: eventcore
type: kubernetes.io/basic-auth
data:
username: <base64-encoded-username>
password: <base64-encoded-password>
Ingress Configuration
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: eventcore-ingress
namespace: eventcore
annotations:
kubernetes.io/ingress.class: nginx
cert-manager.io/cluster-issuer: letsencrypt-prod
nginx.ingress.kubernetes.io/ssl-redirect: "true"
nginx.ingress.kubernetes.io/force-ssl-redirect: "true"
nginx.ingress.kubernetes.io/rate-limit: "100"
nginx.ingress.kubernetes.io/rate-limit-window: "1m"
spec:
tls:
- hosts:
- api.eventcore.example.com
secretName: eventcore-tls
rules:
- host: api.eventcore.example.com
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: eventcore-service
port:
number: 80
Blue-Green Deployment
Deployment Strategy
Blue-green deployment ensures zero-downtime updates:
# Blue environment (current production)
apiVersion: apps/v1
kind: Deployment
metadata:
name: eventcore-blue
namespace: eventcore
labels:
app: eventcore
environment: blue
spec:
replicas: 3
selector:
matchLabels:
app: eventcore
environment: blue
template:
metadata:
labels:
app: eventcore
environment: blue
spec:
containers:
- name: eventcore-app
image: eventcore:v1.0.0
# ... container spec
---
# Green environment (new version)
apiVersion: apps/v1
kind: Deployment
metadata:
name: eventcore-green
namespace: eventcore
labels:
app: eventcore
environment: green
spec:
replicas: 3
selector:
matchLabels:
app: eventcore
environment: green
template:
metadata:
labels:
app: eventcore
environment: green
spec:
containers:
- name: eventcore-app
image: eventcore:v1.1.0
# ... container spec
---
# Service that can switch between environments
apiVersion: v1
kind: Service
metadata:
name: eventcore-service
namespace: eventcore
spec:
selector:
app: eventcore
environment: blue # Switch to 'green' when deploying
ports:
- port: 80
targetPort: 8080
Deployment Script
#!/bin/bash
set -e
NAMESPACE="eventcore"
NEW_VERSION="$1"
CURRENT_ENV="blue"
TARGET_ENV="green"
if [[ -z "$NEW_VERSION" ]]; then
echo "Usage: $0 <new-version>"
exit 1
fi
echo "Starting blue-green deployment to version $NEW_VERSION"
# Get current environment
CURRENT_SELECTOR=$(kubectl get service eventcore-service -n $NAMESPACE -o jsonpath='{.spec.selector.environment}')
if [[ "$CURRENT_SELECTOR" == "blue" ]]; then
TARGET_ENV="green"
CURRENT_ENV="blue"
else
TARGET_ENV="blue"
CURRENT_ENV="green"
fi
echo "Current environment: $CURRENT_ENV"
echo "Target environment: $TARGET_ENV"
# Update target environment with new version
kubectl set image deployment/eventcore-$TARGET_ENV -n $NAMESPACE \
eventcore-app=eventcore:$NEW_VERSION
# Wait for rollout to complete
kubectl rollout status deployment/eventcore-$TARGET_ENV -n $NAMESPACE
# Health check on target environment
echo "Performing health checks..."
TARGET_POD=$(kubectl get pods -n $NAMESPACE -l environment=$TARGET_ENV -o jsonpath='{.items[0].metadata.name}')
kubectl exec -n $NAMESPACE $TARGET_POD -- curl -f http://localhost:8080/health
# Run smoke tests
echo "Running smoke tests..."
kubectl port-forward -n $NAMESPACE service/eventcore-$TARGET_ENV 8081:80 &
PORT_FORWARD_PID=$!
sleep 5
# Basic functionality test
curl -f http://localhost:8081/health
curl -f http://localhost:8081/metrics
kill $PORT_FORWARD_PID
# Switch traffic to target environment
echo "Switching traffic to $TARGET_ENV environment"
kubectl patch service eventcore-service -n $NAMESPACE \
-p '{"spec":{"selector":{"environment":"'$TARGET_ENV'"}}}'
echo "Deployment complete. Traffic switched to $TARGET_ENV"
echo "Old environment ($CURRENT_ENV) is still running for rollback if needed"
echo "To rollback: kubectl patch service eventcore-service -n $NAMESPACE -p '{\"spec\":{\"selector\":{\"environment\":\"$CURRENT_ENV\"}}}'"
Canary Deployment
Traffic Splitting with Istio
apiVersion: networking.istio.io/v1beta1
kind: VirtualService
metadata:
name: eventcore-canary
namespace: eventcore
spec:
hosts:
- api.eventcore.example.com
http:
- match:
- headers:
canary:
exact: "true"
route:
- destination:
host: eventcore-service
subset: canary
- route:
- destination:
host: eventcore-service
subset: stable
weight: 95
- destination:
host: eventcore-service
subset: canary
weight: 5
---
apiVersion: networking.istio.io/v1beta1
kind: DestinationRule
metadata:
name: eventcore-destination
namespace: eventcore
spec:
host: eventcore-service
subsets:
- name: stable
labels:
version: stable
- name: canary
labels:
version: canary
Automated Canary with Flagger
apiVersion: flagger.app/v1beta1
kind: Canary
metadata:
name: eventcore
namespace: eventcore
spec:
targetRef:
apiVersion: apps/v1
kind: Deployment
name: eventcore
progressDeadlineSeconds: 60
service:
port: 80
targetPort: 8080
analysis:
interval: 1m
threshold: 5
maxWeight: 50
stepWeight: 10
metrics:
- name: request-success-rate
thresholdRange:
min: 99
interval: 1m
- name: request-duration
thresholdRange:
max: 500
interval: 30s
webhooks:
- name: smoke-test
type: pre-rollout
url: http://flagger-loadtester.test/
timeout: 15s
metadata:
type: bash
cmd: "curl -sd 'test' http://eventcore-canary/health"
- name: load-test
url: http://flagger-loadtester.test/
timeout: 5s
metadata:
cmd: "hey -z 1m -q 10 -c 2 http://eventcore-canary/"
Database Migrations
Schema Migration Strategy
#![allow(unused)] fn main() { use sqlx::{PgPool, migrate::MigrateDatabase, Postgres}; pub struct MigrationManager { pool: PgPool, migration_path: String, } impl MigrationManager { pub async fn new(database_url: &str, migration_path: String) -> Result<Self, sqlx::Error> { // Ensure database exists if !Postgres::database_exists(database_url).await? { Postgres::create_database(database_url).await?; } let pool = PgPool::connect(database_url).await?; Ok(Self { pool, migration_path, }) } pub async fn run_migrations(&self) -> Result<(), sqlx::Error> { sqlx::migrate::Migrator::new(std::path::Path::new(&self.migration_path)) .await? .run(&self.pool) .await?; Ok(()) } pub async fn check_migration_status(&self) -> Result<MigrationStatus, sqlx::Error> { let migrator = sqlx::migrate::Migrator::new(std::path::Path::new(&self.migration_path)) .await?; let applied = migrator.get_applied_migrations(&self.pool).await?; let available = migrator.iter().count(); Ok(MigrationStatus { applied: applied.len(), available, pending: available - applied.len(), }) } } #[derive(Debug)] pub struct MigrationStatus { pub applied: usize, pub available: usize, pub pending: usize, } }
Migration Files Structure
migrations/
├── 001_initial_schema.sql
├── 002_add_user_preferences.sql
├── 003_optimize_event_indexes.sql
└── 004_add_projection_checkpoints.sql
Example migration:
-- migrations/001_initial_schema.sql
-- Create events table with optimized indexes
CREATE TABLE events (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
stream_id VARCHAR(255) NOT NULL,
version BIGINT NOT NULL,
event_type VARCHAR(255) NOT NULL,
payload JSONB NOT NULL,
metadata JSONB NOT NULL DEFAULT '{}',
occurred_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW(),
CONSTRAINT events_stream_version_unique UNIQUE (stream_id, version)
);
-- Optimized indexes for common query patterns
CREATE INDEX idx_events_stream_id ON events (stream_id);
CREATE INDEX idx_events_stream_id_version ON events (stream_id, version);
CREATE INDEX idx_events_occurred_at ON events (occurred_at);
CREATE INDEX idx_events_event_type ON events (event_type);
CREATE INDEX idx_events_payload_gin ON events USING GIN (payload);
-- Create projection checkpoints table
CREATE TABLE projection_checkpoints (
projection_name VARCHAR(255) PRIMARY KEY,
last_event_id UUID,
last_event_version BIGINT,
stream_positions JSONB NOT NULL DEFAULT '{}',
updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW()
);
CREATE INDEX idx_projection_checkpoints_updated_at ON projection_checkpoints (updated_at);
Zero-Downtime Migration Pattern
#!/bin/bash
# Zero-downtime migration script
set -e
DATABASE_URL="$1"
MIGRATION_PATH="./migrations"
echo "Starting zero-downtime migration process..."
# Step 1: Run additive migrations (safe)
echo "Running additive migrations..."
sqlx migrate run --source $MIGRATION_PATH/additive
# Step 2: Deploy new application version (backward compatible)
echo "Deploying new application version..."
kubectl set image deployment/eventcore-app eventcore-app=eventcore:$NEW_VERSION
kubectl rollout status deployment/eventcore-app
# Step 3: Verify application health
echo "Verifying application health..."
kubectl get pods -l app=eventcore
curl -f http://api.eventcore.example.com/health
# Step 4: Run data migrations (if needed)
echo "Running data migrations..."
sqlx migrate run --source $MIGRATION_PATH/data
# Step 5: Run cleanup migrations (remove old columns/tables)
echo "Running cleanup migrations..."
sqlx migrate run --source $MIGRATION_PATH/cleanup
echo "Zero-downtime migration completed successfully!"
Configuration Management
Environment-Specific Configuration
#![allow(unused)] fn main() { use config::{Config, ConfigError, Environment, File}; use serde::Deserialize; #[derive(Debug, Deserialize, Clone)] pub struct AppConfig { pub database: DatabaseConfig, pub server: ServerConfig, pub monitoring: MonitoringConfig, pub features: FeatureFlags, } #[derive(Debug, Deserialize, Clone)] pub struct DatabaseConfig { pub url: String, pub max_connections: u32, pub acquire_timeout_seconds: u64, pub command_timeout_seconds: u64, } #[derive(Debug, Deserialize, Clone)] pub struct ServerConfig { pub host: String, pub port: u16, pub cors_origins: Vec<String>, pub request_timeout_seconds: u64, } #[derive(Debug, Deserialize, Clone)] pub struct MonitoringConfig { pub metrics_port: u16, pub tracing_endpoint: Option<String>, pub log_level: String, pub health_check_interval_seconds: u64, } #[derive(Debug, Deserialize, Clone)] pub struct FeatureFlags { pub enable_metrics: bool, pub enable_tracing: bool, pub enable_auth: bool, pub enable_rate_limiting: bool, } impl AppConfig { pub fn from_env() -> Result<Self, ConfigError> { let environment = std::env::var("ENVIRONMENT").unwrap_or_else(|_| "development".to_string()); let config = Config::builder() // Start with default configuration .add_source(File::with_name("config/default")) // Add environment-specific configuration .add_source(File::with_name(&format!("config/{}", environment)).required(false)) // Add local configuration (for development) .add_source(File::with_name("config/local").required(false)) // Override with environment variables .add_source(Environment::with_prefix("EVENTCORE").separator("_")) .build()?; config.try_deserialize() } } }
Configuration Files
# config/default.yaml
database:
max_connections: 10
acquire_timeout_seconds: 30
command_timeout_seconds: 60
server:
host: "0.0.0.0"
port: 8080
cors_origins: ["http://localhost:3000"]
request_timeout_seconds: 30
monitoring:
metrics_port: 9090
log_level: "info"
health_check_interval_seconds: 30
features:
enable_metrics: true
enable_tracing: false
enable_auth: false
enable_rate_limiting: false
# config/production.yaml
database:
max_connections: 20
acquire_timeout_seconds: 10
command_timeout_seconds: 30
server:
cors_origins: ["https://myapp.com"]
request_timeout_seconds: 15
monitoring:
log_level: "warn"
health_check_interval_seconds: 10
features:
enable_tracing: true
enable_auth: true
enable_rate_limiting: true
Health Checks and Readiness
Application Health Endpoints
#![allow(unused)] fn main() { use axum::{Json, response::Json as JsonResponse, extract::State}; use serde_json::{json, Value}; use std::sync::Arc; #[derive(Clone)] pub struct HealthService { event_store: Arc<dyn EventStore>, dependencies: Vec<Arc<dyn HealthCheck>>, } #[async_trait] pub trait HealthCheck: Send + Sync { async fn name(&self) -> &'static str; async fn check(&self) -> HealthStatus; } #[derive(Debug, Clone)] pub enum HealthStatus { Healthy, Unhealthy(String), Unknown, } impl HealthService { pub async fn health_check(&self) -> JsonResponse<Value> { let mut overall_healthy = true; let mut checks = Vec::new(); // Check event store let event_store_status = self.check_event_store().await; let event_store_healthy = matches!(event_store_status, HealthStatus::Healthy); overall_healthy &= event_store_healthy; checks.push(json!({ "name": "event_store", "status": if event_store_healthy { "healthy" } else { "unhealthy" }, "details": match event_store_status { HealthStatus::Unhealthy(msg) => Some(msg), _ => None, } })); // Check dependencies for dependency in &self.dependencies { let name = dependency.name().await; let status = dependency.check().await; let healthy = matches!(status, HealthStatus::Healthy); overall_healthy &= healthy; checks.push(json!({ "name": name, "status": if healthy { "healthy" } else { "unhealthy" }, "details": match status { HealthStatus::Unhealthy(msg) => Some(msg), _ => None, } })); } let response = json!({ "status": if overall_healthy { "healthy" } else { "unhealthy" }, "checks": checks, "timestamp": chrono::Utc::now().to_rfc3339(), "version": env!("CARGO_PKG_VERSION") }); JsonResponse(response) } pub async fn readiness_check(&self) -> JsonResponse<Value> { // Readiness is stricter - all components must be ready let event_store_ready = self.check_event_store_ready().await; let migrations_ready = self.check_migrations_ready().await; let ready = event_store_ready && migrations_ready; let response = json!({ "status": if ready { "ready" } else { "not_ready" }, "checks": { "event_store": event_store_ready, "migrations": migrations_ready, }, "timestamp": chrono::Utc::now().to_rfc3339() }); JsonResponse(response) } async fn check_event_store(&self) -> HealthStatus { match self.event_store.health_check().await { Ok(_) => HealthStatus::Healthy, Err(e) => HealthStatus::Unhealthy(format!("Event store error: {}", e)), } } async fn check_event_store_ready(&self) -> bool { // More stringent check for readiness self.event_store.ping().await.is_ok() } async fn check_migrations_ready(&self) -> bool { // Check if all migrations are applied match self.event_store.migration_status().await { Ok(status) => status.pending == 0, Err(_) => false, } } } // Route handlers pub async fn health_handler(State(health_service): State<HealthService>) -> JsonResponse<Value> { health_service.health_check().await } pub async fn readiness_handler(State(health_service): State<HealthService>) -> JsonResponse<Value> { health_service.readiness_check().await } pub async fn liveness_handler() -> JsonResponse<Value> { // Simple liveness check - just return OK if the process is running JsonResponse(json!({ "status": "alive", "timestamp": chrono::Utc::now().to_rfc3339() })) } }
Kubernetes Health Check Configuration
# Detailed health check configuration
spec:
containers:
- name: eventcore-app
# Liveness probe - restart container if this fails
livenessProbe:
httpGet:
path: /liveness
port: 8080
httpHeaders:
- name: Accept
value: application/json
initialDelaySeconds: 30
periodSeconds: 30
timeoutSeconds: 5
failureThreshold: 3
successThreshold: 1
# Readiness probe - remove from service if this fails
readinessProbe:
httpGet:
path: /readiness
port: 8080
httpHeaders:
- name: Accept
value: application/json
initialDelaySeconds: 5
periodSeconds: 10
timeoutSeconds: 3
failureThreshold: 3
successThreshold: 1
# Startup probe - give extra time during startup
startupProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 10
periodSeconds: 5
timeoutSeconds: 3
failureThreshold: 30
successThreshold: 1
Best Practices
- Containerize everything - Use containers for consistent deployments
- Infrastructure as Code - Version control all configuration
- Zero-downtime deployments - Use blue-green or canary strategies
- Database migrations - Plan for backward compatibility
- Health monitoring - Implement comprehensive health checks
- Configuration management - Separate config from code
- Security - Use secrets management and RBAC
- Rollback plans - Always have a rollback strategy
Summary
EventCore deployment strategies:
- ✅ Containerized - Docker and Kubernetes ready
- ✅ Zero-downtime - Blue-green and canary deployments
- ✅ Database migrations - Safe schema evolution
- ✅ Health monitoring - Comprehensive health checks
- ✅ Configuration management - Environment-specific config
Key patterns:
- Use containers for consistent, portable deployments
- Implement blue-green or canary deployments for zero downtime
- Plan database migrations for backward compatibility
- Configure comprehensive health checks for reliability
- Manage configuration separately from application code
Next, let’s explore Monitoring and Metrics →