☕ 🌐 Distributed Systems with TuskLang Java
🌐 Distributed Systems with TuskLang Java
"We don't bow to any king" - Distributed Java Edition
TuskLang Java enables building robust distributed systems with microservices, event-driven architecture, and distributed patterns that scale across multiple nodes and services.
🎯 Distributed Architecture Overview
Microservices Configuration
// distributed-app.tsk
[distributed_system]
name: "Enterprise Distributed App"
version: "3.0.0"
deployment_mode: "microservices"[service_mesh]
type: "istio"
enabled: true
tracing: true
metrics: true
security: {
mTLS: true
authorization: true
}
[services]
user_service: {
name: "user-service"
port: 8081
replicas: 3
health_check: "/health"
dependencies: ["database", "cache"]
api_version: "v1"
rate_limit: {
requests_per_minute: 1000
burst_size: 100
}
}
order_service: {
name: "order-service"
port: 8082
replicas: 5
health_check: "/health"
dependencies: ["database", "payment_service", "inventory_service"]
api_version: "v1"
circuit_breaker: {
failure_threshold: 5
recovery_timeout: "30s"
half_open_state: true
}
}
payment_service: {
name: "payment-service"
port: 8083
replicas: 2
health_check: "/health"
dependencies: ["database", "external_payment_gateway"]
api_version: "v1"
retry_policy: {
max_attempts: 3
backoff: "exponential"
initial_delay: "1s"
}
}
inventory_service: {
name: "inventory-service"
port: 8084
replicas: 3
health_check: "/health"
dependencies: ["database", "cache"]
api_version: "v1"
cache_strategy: {
ttl: "5m"
invalidation: "write_through"
}
}
[databases]
primary: {
type: "postgresql"
host: @env("DB_HOST", "localhost")
port: @env("DB_PORT", "5432")
name: @env("DB_NAME", "distributed_app")
user: @env("DB_USER", "app_user")
password: @env.secure("DB_PASSWORD")
pool_size: 50
read_replicas: [
{
host: @env("DB_READ_REPLICA_1", "read-replica-1")
port: @env("DB_PORT", "5432")
weight: 0.5
},
{
host: @env("DB_READ_REPLICA_2", "read-replica-2")
port: @env("DB_PORT", "5432")
weight: 0.5
}
]
}
cache: {
type: "redis"
mode: "cluster"
nodes: [
{
host: @env("REDIS_NODE_1", "redis-node-1")
port: @env("REDIS_PORT", "6379")
},
{
host: @env("REDIS_NODE_2", "redis-node-2")
port: @env("REDIS_PORT", "6379")
},
{
host: @env("REDIS_NODE_3", "redis-node-3")
port: @env("REDIS_PORT", "6379")
}
]
password: @env.secure("REDIS_PASSWORD")
ttl: "1h"
max_memory: "2gb"
}
[message_broker]
type: "kafka"
bootstrap_servers: [
@env("KAFKA_BROKER_1", "kafka-1:9092"),
@env("KAFKA_BROKER_2", "kafka-2:9092"),
@env("KAFKA_BROKER_3", "kafka-3:9092")
]
security: {
sasl_mechanism: "PLAIN"
username: @env.secure("KAFKA_USERNAME")
password: @env.secure("KAFKA_PASSWORD")
}
topics: {
user_events: {
partitions: 10
replication_factor: 3
retention: "7d"
}
order_events: {
partitions: 20
replication_factor: 3
retention: "30d"
}
payment_events: {
partitions: 15
replication_factor: 3
retention: "90d"
}
}
[distributed_tracing]
enabled: true
sampling_rate: 0.1
exporter: "jaeger"
endpoint: @env("JAEGER_ENDPOINT", "http://jaeger:14268/api/traces")
correlation_id_header: "X-Correlation-ID"
🔄 Event-Driven Architecture
Event Configuration
// events.tsk
[event_schema]
version: "1.0"
namespace: "com.enterprise.events"[events]
user_created: {
type: "user.created"
version: "1.0"
schema: {
user_id: "string"
email: "string"
first_name: "string"
last_name: "string"
created_at: "timestamp"
metadata: "object"
}
producers: ["user_service"]
consumers: ["notification_service", "analytics_service", "audit_service"]
routing_key: "user.created"
dead_letter_queue: "user_events_dlq"
}
user_updated: {
type: "user.updated"
version: "1.0"
schema: {
user_id: "string"
email: "string"
first_name: "string"
last_name: "string"
updated_at: "timestamp"
changes: "array"
metadata: "object"
}
producers: ["user_service"]
consumers: ["notification_service", "analytics_service", "audit_service"]
routing_key: "user.updated"
dead_letter_queue: "user_events_dlq"
}
order_created: {
type: "order.created"
version: "1.0"
schema: {
order_id: "string"
user_id: "string"
items: "array"
total_amount: "decimal"
currency: "string"
status: "string"
created_at: "timestamp"
metadata: "object"
}
producers: ["order_service"]
consumers: ["payment_service", "inventory_service", "notification_service", "analytics_service"]
routing_key: "order.created"
dead_letter_queue: "order_events_dlq"
}
order_status_changed: {
type: "order.status.changed"
version: "1.0"
schema: {
order_id: "string"
user_id: "string"
old_status: "string"
new_status: "string"
changed_at: "timestamp"
reason: "string"
metadata: "object"
}
producers: ["order_service", "payment_service", "inventory_service"]
consumers: ["notification_service", "analytics_service", "audit_service"]
routing_key: "order.status.changed"
dead_letter_queue: "order_events_dlq"
}
payment_processed: {
type: "payment.processed"
version: "1.0"
schema: {
payment_id: "string"
order_id: "string"
user_id: "string"
amount: "decimal"
currency: "string"
status: "string"
gateway: "string"
processed_at: "timestamp"
metadata: "object"
}
producers: ["payment_service"]
consumers: ["order_service", "notification_service", "analytics_service", "audit_service"]
routing_key: "payment.processed"
dead_letter_queue: "payment_events_dlq"
}
[event_handlers]
user_service: {
handlers: [
{
event_type: "order.created"
handler: "handleOrderCreated"
async: true
retry_policy: {
max_attempts: 3
backoff: "exponential"
}
},
{
event_type: "payment.processed"
handler: "handlePaymentProcessed"
async: true
retry_policy: {
max_attempts: 3
backoff: "exponential"
}
}
]
}
order_service: {
handlers: [
{
event_type: "payment.processed"
handler: "handlePaymentProcessed"
async: false
retry_policy: {
max_attempts: 5
backoff: "exponential"
}
},
{
event_type: "inventory.updated"
handler: "handleInventoryUpdated"
async: true
retry_policy: {
max_attempts: 3
backoff: "exponential"
}
}
]
}
Event-Driven Service Implementation
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Bean;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Service;
import org.tusklang.java.annotations.TuskConfig;
import com.fasterxml.jackson.databind.ObjectMapper;
import java.util.Map;@Configuration
@TuskConfig
public class EventDrivenConfig {
@Bean
public ObjectMapper eventObjectMapper() {
ObjectMapper mapper = new ObjectMapper();
mapper.registerModule(new JavaTimeModule());
return mapper;
}
@Bean
public EventPublisher eventPublisher(KafkaTemplate<String, String> kafkaTemplate,
ObjectMapper objectMapper) {
return new EventPublisher(kafkaTemplate, objectMapper);
}
@Bean
public EventHandlerRegistry eventHandlerRegistry() {
return new EventHandlerRegistry();
}
}
@Service
public class EventPublisher {
private final KafkaTemplate<String, String> kafkaTemplate;
private final ObjectMapper objectMapper;
private final Map<String, EventConfig> eventConfigs;
public EventPublisher(KafkaTemplate<String, String> kafkaTemplate,
ObjectMapper objectMapper,
Map<String, EventConfig> eventConfigs) {
this.kafkaTemplate = kafkaTemplate;
this.objectMapper = objectMapper;
this.eventConfigs = eventConfigs;
}
public <T> void publishEvent(String eventType, T event) {
try {
EventConfig config = eventConfigs.get(eventType);
if (config == null) {
throw new EventConfigurationException("No configuration found for event: " + eventType);
}
String eventJson = objectMapper.writeValueAsString(event);
String topic = config.getTopic();
String routingKey = config.getRoutingKey();
kafkaTemplate.send(topic, routingKey, eventJson)
.addCallback(
result -> log.info("Event published successfully: {}", eventType),
ex -> log.error("Failed to publish event: {}", eventType, ex)
);
} catch (Exception e) {
log.error("Error publishing event: {}", eventType, e);
throw new EventPublishException("Failed to publish event: " + eventType, e);
}
}
public <T> void publishEventWithCorrelation(String eventType, T event, String correlationId) {
try {
EventConfig config = eventConfigs.get(eventType);
if (config == null) {
throw new EventConfigurationException("No configuration found for event: " + eventType);
}
// Add correlation ID to event metadata
if (event instanceof BaseEvent) {
((BaseEvent) event).setCorrelationId(correlationId);
}
String eventJson = objectMapper.writeValueAsString(event);
String topic = config.getTopic();
String routingKey = config.getRoutingKey();
kafkaTemplate.send(topic, routingKey, eventJson)
.addCallback(
result -> log.info("Event published successfully: {} with correlation: {}",
eventType, correlationId),
ex -> log.error("Failed to publish event: {} with correlation: {}",
eventType, correlationId, ex)
);
} catch (Exception e) {
log.error("Error publishing event: {} with correlation: {}", eventType, correlationId, e);
throw new EventPublishException("Failed to publish event: " + eventType, e);
}
}
}
@Service
public class UserEventHandlers {
private final EventPublisher eventPublisher;
private final UserService userService;
public UserEventHandlers(EventPublisher eventPublisher, UserService userService) {
this.eventPublisher = eventPublisher;
this.userService = userService;
}
@KafkaListener(topics = "order_events", groupId = "user_service")
public void handleOrderCreated(String eventJson) {
try {
OrderCreatedEvent event = objectMapper.readValue(eventJson, OrderCreatedEvent.class);
// Update user's order history
userService.addOrderToHistory(event.getUserId(), event.getOrderId());
// Publish user updated event
UserUpdatedEvent userEvent = new UserUpdatedEvent();
userEvent.setUserId(event.getUserId());
userEvent.setUpdatedAt(Instant.now());
userEvent.setChanges(Arrays.asList("order_history"));
eventPublisher.publishEvent("user.updated", userEvent);
} catch (Exception e) {
log.error("Error handling order created event", e);
// Send to dead letter queue
sendToDeadLetterQueue("order_events_dlq", eventJson, e);
}
}
@KafkaListener(topics = "payment_events", groupId = "user_service")
public void handlePaymentProcessed(String eventJson) {
try {
PaymentProcessedEvent event = objectMapper.readValue(eventJson, PaymentProcessedEvent.class);
// Update user's payment history
userService.addPaymentToHistory(event.getUserId(), event.getPaymentId());
// Publish user updated event
UserUpdatedEvent userEvent = new UserUpdatedEvent();
userEvent.setUserId(event.getUserId());
userEvent.setUpdatedAt(Instant.now());
userEvent.setChanges(Arrays.asList("payment_history"));
eventPublisher.publishEvent("user.updated", userEvent);
} catch (Exception e) {
log.error("Error handling payment processed event", e);
// Send to dead letter queue
sendToDeadLetterQueue("payment_events_dlq", eventJson, e);
}
}
private void sendToDeadLetterQueue(String dlqTopic, String eventJson, Exception error) {
DeadLetterEvent dlqEvent = new DeadLetterEvent();
dlqEvent.setOriginalEvent(eventJson);
dlqEvent.setError(error.getMessage());
dlqEvent.setTimestamp(Instant.now());
kafkaTemplate.send(dlqTopic, eventJson)
.addCallback(
result -> log.info("Event sent to DLQ: {}", dlqTopic),
ex -> log.error("Failed to send event to DLQ: {}", dlqTopic, ex)
);
}
}
🔗 Service Communication Patterns
Circuit Breaker Configuration
// circuit-breaker.tsk
[circuit_breaker]
default_config: {
failure_threshold: 5
recovery_timeout: "30s"
half_open_state: true
monitoring: true
}[services]
payment_service: {
failure_threshold: 3
recovery_timeout: "60s"
half_open_state: true
exceptions: ["PaymentGatewayException", "NetworkException"]
}
inventory_service: {
failure_threshold: 10
recovery_timeout: "15s"
half_open_state: false
exceptions: ["DatabaseException"]
}
external_api: {
failure_threshold: 2
recovery_timeout: "120s"
half_open_state: true
exceptions: ["HttpClientException", "TimeoutException"]
}
[monitoring]
metrics: {
enabled: true
circuit_state_changes: true
failure_counts: true
success_counts: true
response_times: true
}
alerts: {
circuit_open: {
enabled: true
threshold: 1
notification: {
email: ["devops@company.com"]
slack: "#alerts"
}
}
}
Circuit Breaker Implementation
import io.github.resilience4j.circuitbreaker.CircuitBreaker;
import io.github.resilience4j.circuitbreaker.CircuitBreakerConfig;
import io.github.resilience4j.circuitbreaker.CircuitBreakerRegistry;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.tusklang.java.annotations.TuskConfig;
import java.time.Duration;@Configuration
@TuskConfig
public class CircuitBreakerConfiguration {
private final Map<String, CircuitBreakerConfig> circuitBreakerConfigs;
public CircuitBreakerConfiguration(Map<String, CircuitBreakerConfig> circuitBreakerConfigs) {
this.circuitBreakerConfigs = circuitBreakerConfigs;
}
@Bean
public CircuitBreakerRegistry circuitBreakerRegistry() {
CircuitBreakerRegistry registry = CircuitBreakerRegistry.ofDefaults();
// Register circuit breakers for each service
circuitBreakerConfigs.forEach((serviceName, config) -> {
CircuitBreaker circuitBreaker = CircuitBreaker.of(serviceName, config);
registry.addConfiguration(serviceName, config);
});
return registry;
}
@Bean
public CircuitBreakerService circuitBreakerService(CircuitBreakerRegistry registry) {
return new CircuitBreakerService(registry);
}
}
@Service
public class CircuitBreakerService {
private final CircuitBreakerRegistry registry;
private final Map<String, CircuitBreakerConfig> configs;
public CircuitBreakerService(CircuitBreakerRegistry registry,
Map<String, CircuitBreakerConfig> configs) {
this.registry = registry;
this.configs = configs;
}
public <T> T executeWithCircuitBreaker(String serviceName, Supplier<T> supplier) {
CircuitBreaker circuitBreaker = registry.circuitBreaker(serviceName);
return circuitBreaker.executeSupplier(supplier);
}
public void executeWithCircuitBreaker(String serviceName, Runnable runnable) {
CircuitBreaker circuitBreaker = registry.circuitBreaker(serviceName);
circuitBreaker.executeRunnable(runnable);
}
public CircuitBreaker.State getCircuitState(String serviceName) {
CircuitBreaker circuitBreaker = registry.circuitBreaker(serviceName);
return circuitBreaker.getState();
}
public CircuitBreaker.Metrics getCircuitMetrics(String serviceName) {
CircuitBreaker circuitBreaker = registry.circuitBreaker(serviceName);
return circuitBreaker.getMetrics();
}
}
@Service
public class PaymentServiceClient {
private final CircuitBreakerService circuitBreakerService;
private final RestTemplate restTemplate;
private final String paymentServiceUrl;
public PaymentServiceClient(CircuitBreakerService circuitBreakerService,
RestTemplate restTemplate,
@Value("${payment.service.url}") String paymentServiceUrl) {
this.circuitBreakerService = circuitBreakerService;
this.restTemplate = restTemplate;
this.paymentServiceUrl = paymentServiceUrl;
}
public PaymentResponse processPayment(PaymentRequest request) {
return circuitBreakerService.executeWithCircuitBreaker("payment_service", () -> {
try {
ResponseEntity<PaymentResponse> response = restTemplate.postForEntity(
paymentServiceUrl + "/payments",
request,
PaymentResponse.class
);
if (response.getStatusCode().is2xxSuccessful()) {
return response.getBody();
} else {
throw new PaymentServiceException("Payment service returned error: " +
response.getStatusCode());
}
} catch (Exception e) {
log.error("Error calling payment service", e);
throw new PaymentServiceException("Failed to process payment", e);
}
});
}
public PaymentStatus getPaymentStatus(String paymentId) {
return circuitBreakerService.executeWithCircuitBreaker("payment_service", () -> {
try {
ResponseEntity<PaymentStatus> response = restTemplate.getForEntity(
paymentServiceUrl + "/payments/" + paymentId + "/status",
PaymentStatus.class
);
if (response.getStatusCode().is2xxSuccessful()) {
return response.getBody();
} else {
throw new PaymentServiceException("Payment service returned error: " +
response.getStatusCode());
}
} catch (Exception e) {
log.error("Error getting payment status", e);
throw new PaymentServiceException("Failed to get payment status", e);
}
});
}
}
🔄 Distributed Caching
Cache Configuration
// cache.tsk
[distributed_cache]
type: "redis"
mode: "cluster"
nodes: [
{
host: @env("REDIS_NODE_1", "redis-node-1")
port: @env("REDIS_PORT", "6379")
weight: 1
},
{
host: @env("REDIS_NODE_2", "redis-node-2")
port: @env("REDIS_PORT", "6379")
weight: 1
},
{
host: @env("REDIS_NODE_3", "redis-node-3")
port: @env("REDIS_PORT", "6379")
weight: 1
}
]
password: @env.secure("REDIS_PASSWORD")
max_memory: "4gb"
eviction_policy: "allkeys-lru"[cache_strategies]
user_cache: {
ttl: "1h"
max_size: 10000
invalidation: "write_through"
compression: true
serialization: "json"
}
order_cache: {
ttl: "30m"
max_size: 5000
invalidation: "write_behind"
compression: true
serialization: "json"
}
product_cache: {
ttl: "24h"
max_size: 20000
invalidation: "cache_aside"
compression: true
serialization: "json"
}
session_cache: {
ttl: "2h"
max_size: 1000
invalidation: "write_through"
compression: false
serialization: "binary"
}
[cache_events]
user_updated: {
cache_key: "user:{user_id}"
invalidation: true
propagation: true
}
order_created: {
cache_key: "user_orders:{user_id}"
invalidation: false
propagation: true
}
product_updated: {
cache_key: "product:{product_id}"
invalidation: true
propagation: true
}
Distributed Cache Implementation
import org.springframework.cache.annotation.Cacheable;
import org.springframework.cache.annotation.CacheEvict;
import org.springframework.cache.annotation.CachePut;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;
import org.tusklang.java.annotations.TuskConfig;
import java.util.concurrent.TimeUnit;@Configuration
@TuskConfig
public class CacheConfiguration {
@Bean
public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory connectionFactory) {
RedisTemplate<String, Object> template = new RedisTemplate<>();
template.setConnectionFactory(connectionFactory);
// Configure serialization
template.setKeySerializer(new StringRedisSerializer());
template.setValueSerializer(new GenericJackson2JsonRedisSerializer());
template.setHashKeySerializer(new StringRedisSerializer());
template.setHashValueSerializer(new GenericJackson2JsonRedisSerializer());
return template;
}
@Bean
public CacheManager cacheManager(RedisTemplate<String, Object> redisTemplate,
Map<String, CacheStrategy> cacheStrategies) {
RedisCacheManager cacheManager = RedisCacheManager.builder(redisTemplate.getConnectionFactory())
.cacheDefaults(RedisCacheConfiguration.defaultCacheConfig()
.entryTtl(Duration.ofHours(1))
.serializeKeysWith(RedisSerializationContext.SerializationPair
.fromSerializer(new StringRedisSerializer()))
.serializeValuesWith(RedisSerializationContext.SerializationPair
.fromSerializer(new GenericJackson2JsonRedisSerializer())))
.build();
// Configure custom cache settings
cacheStrategies.forEach((cacheName, strategy) -> {
RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
.entryTtl(Duration.parse(strategy.getTtl()))
.serializeKeysWith(RedisSerializationContext.SerializationPair
.fromSerializer(new StringRedisSerializer()))
.serializeValuesWith(RedisSerializationContext.SerializationPair
.fromSerializer(new GenericJackson2JsonRedisSerializer()));
cacheManager.setCacheConfiguration(cacheName, config);
});
return cacheManager;
}
}
@Service
public class DistributedCacheService {
private final RedisTemplate<String, Object> redisTemplate;
private final Map<String, CacheStrategy> cacheStrategies;
private final EventPublisher eventPublisher;
public DistributedCacheService(RedisTemplate<String, Object> redisTemplate,
Map<String, CacheStrategy> cacheStrategies,
EventPublisher eventPublisher) {
this.redisTemplate = redisTemplate;
this.cacheStrategies = cacheStrategies;
this.eventPublisher = eventPublisher;
}
public <T> T get(String cacheName, String key, Class<T> type) {
String fullKey = buildCacheKey(cacheName, key);
Object value = redisTemplate.opsForValue().get(fullKey);
if (value != null) {
log.debug("Cache hit for key: {}", fullKey);
return type.cast(value);
}
log.debug("Cache miss for key: {}", fullKey);
return null;
}
public void put(String cacheName, String key, Object value) {
String fullKey = buildCacheKey(cacheName, key);
CacheStrategy strategy = cacheStrategies.get(cacheName);
if (strategy != null) {
redisTemplate.opsForValue().set(fullKey, value,
Duration.parse(strategy.getTtl()));
} else {
redisTemplate.opsForValue().set(fullKey, value);
}
log.debug("Cached value for key: {}", fullKey);
// Publish cache event if configured
publishCacheEvent(cacheName, key, "PUT");
}
public void evict(String cacheName, String key) {
String fullKey = buildCacheKey(cacheName, key);
redisTemplate.delete(fullKey);
log.debug("Evicted cache for key: {}", fullKey);
// Publish cache event if configured
publishCacheEvent(cacheName, key, "EVICT");
}
public void evictPattern(String cacheName, String pattern) {
String fullPattern = buildCacheKey(cacheName, pattern);
Set<String> keys = redisTemplate.keys(fullPattern);
if (keys != null && !keys.isEmpty()) {
redisTemplate.delete(keys);
log.debug("Evicted {} cache entries for pattern: {}", keys.size(), fullPattern);
}
}
private String buildCacheKey(String cacheName, String key) {
return String.format("%s:%s", cacheName, key);
}
private void publishCacheEvent(String cacheName, String key, String operation) {
CacheEvent event = new CacheEvent();
event.setCacheName(cacheName);
event.setKey(key);
event.setOperation(operation);
event.setTimestamp(Instant.now());
eventPublisher.publishEvent("cache.operation", event);
}
}
@Service
public class UserService {
private final DistributedCacheService cacheService;
private final UserRepository userRepository;
public UserService(DistributedCacheService cacheService, UserRepository userRepository) {
this.cacheService = cacheService;
this.userRepository = userRepository;
}
@Cacheable(value = "user_cache", key = "#userId")
public User getUserById(String userId) {
log.debug("Fetching user from database: {}", userId);
return userRepository.findById(userId)
.orElseThrow(() -> new UserNotFoundException("User not found: " + userId));
}
@CachePut(value = "user_cache", key = "#user.id")
public User createUser(User user) {
log.debug("Creating new user: {}", user.getId());
User savedUser = userRepository.save(user);
// Publish user created event
UserCreatedEvent event = new UserCreatedEvent();
event.setUserId(savedUser.getId());
event.setEmail(savedUser.getEmail());
event.setCreatedAt(Instant.now());
eventPublisher.publishEvent("user.created", event);
return savedUser;
}
@CachePut(value = "user_cache", key = "#user.id")
public User updateUser(User user) {
log.debug("Updating user: {}", user.getId());
User updatedUser = userRepository.save(user);
// Publish user updated event
UserUpdatedEvent event = new UserUpdatedEvent();
event.setUserId(updatedUser.getId());
event.setUpdatedAt(Instant.now());
event.setChanges(Arrays.asList("profile", "preferences"));
eventPublisher.publishEvent("user.updated", event);
return updatedUser;
}
@CacheEvict(value = "user_cache", key = "#userId")
public void deleteUser(String userId) {
log.debug("Deleting user: {}", userId);
userRepository.deleteById(userId);
// Publish user deleted event
UserDeletedEvent event = new UserDeletedEvent();
event.setUserId(userId);
event.setDeletedAt(Instant.now());
eventPublisher.publishEvent("user.deleted", event);
}
}
🔧 Best Practices
1. Service Communication
- Use circuit breakers for resilience - Implement retry policies with exponential backoff - Use health checks for service discovery - Implement proper timeout handling2. Event-Driven Architecture
- Use event sourcing for audit trails - Implement CQRS for read/write separation - Use saga pattern for distributed transactions - Implement dead letter queues for failed events3. Distributed Caching
- Use cache-aside pattern for read-heavy workloads - Implement write-through for consistency - Use cache invalidation strategies - Monitor cache hit rates and performance4. Monitoring and Observability
- Use distributed tracing for request tracking - Implement health checks for all services - Use structured logging with correlation IDs - Monitor circuit breaker states and metrics5. Security
- Use mTLS for service-to-service communication - Implement proper authentication and authorization - Use secure configuration management - Monitor for security events🎯 Summary
TuskLang Java distributed systems provide:
- Microservices Architecture: Service discovery, load balancing, and health checks - Event-Driven Communication: Kafka integration with event schemas and handlers - Circuit Breakers: Resilience patterns with monitoring and alerts - Distributed Caching: Redis cluster with multiple cache strategies - Service Mesh Integration: Istio support for advanced traffic management
The combination of TuskLang's executable configuration with Java's distributed systems capabilities creates a powerful platform for building scalable, resilient, and maintainable microservices.
"We don't bow to any king" - Build distributed systems that scale with confidence!