MACRO NEPAL
Distributed Caching at Scale: Hazelcast Integration in Java
awiskar acharya
November 8, 2025
2:10 pm

Introduction

Hazelcast is a leading open-source in-memory computing platform that provides distributed caching, computing, and data storage capabilities. Unlike simple key-value stores like Memcached, Hazelcast offers advanced features including distributed data structures, event processing, and seamless clustering, making it ideal for high-performance, scalable Java applications.

Hazelcast vs Other Caching Solutions

Key Advantages

  • True distributed caching with automatic data partitioning
  • Built-in clustering with automatic node discovery
  • Rich data structures beyond simple key-value pairs
  • Persistence and off-heap memory options
  • Event listeners and continuous querying
  • ACID transactions support
  • Native Java integration with minimal configuration

Setup and Dependencies

Maven Dependencies

<properties>
<hazelcast.version>5.3.6</hazelcast.version>
</properties>
<dependencies>
<!-- Hazelcast Core -->
<dependency>
<groupId>com.hazelcast</groupId>
<artifactId>hazelcast</artifactId>
<version>${hazelcast.version}</version>
</dependency>
<!-- Spring Boot Starter -->
<dependency>
<groupId>com.hazelcast</groupId>
<artifactId>hazelcast-spring</artifactId>
<version>${hazelcast.version}</version>
</dependency>
<!-- For Management Center -->
<dependency>
<groupId>com.hazelcast</groupId>
<artifactId>hazelcast-kubernetes</artifactId>
<version>${hazelcast.version}</version>
</dependency>
</dependencies>

Configuration

1. Programmatic Configuration

package com.example.cache.config;
import com.hazelcast.config.*;
import com.hazelcast.core.Hazelcast;
import com.hazelcast.core.HazelcastInstance;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
public class HazelcastConfig {
@Bean
public Config hazelcastConfiguration() {
Config config = new Config();
// Cluster name
config.setClusterName("production-cluster");
// Network configuration
NetworkConfig networkConfig = config.getNetworkConfig();
networkConfig.setPort(5701)
.setPortAutoIncrement(true);
JoinConfig joinConfig = networkConfig.getJoin();
joinConfig.getMulticastConfig().setEnabled(false);
joinConfig.getTcpIpConfig().setEnabled(true)
.addMember("192.168.1.10")
.addMember("192.168.1.11");
// Alternatively, use Kubernetes discovery
// joinConfig.getKubernetesConfig().setEnabled(true);
// Map configuration for user cache
MapConfig userMapConfig = new MapConfig();
userMapConfig.setName("users")
.setBackupCount(2)
.setTimeToLiveSeconds(3600)
.setMaxIdleSeconds(1800);
// Eviction policy
userMapConfig.getEvictionConfig()
.setEvictionPolicy(EvictionPolicy.LRU)
.setMaxSizePolicy(MaxSizePolicy.PER_NODE)
.setSize(10000);
// Near cache for frequently accessed data
userMapConfig.setNearCacheConfig(new NearCacheConfig()
.setInMemoryFormat(InMemoryFormat.OBJECT)
.setCacheLocalEntries(true));
config.addMapConfig(userMapConfig);
// Product cache configuration
MapConfig productMapConfig = new MapConfig();
productMapConfig.setName("products")
.setTimeToLiveSeconds(86400)
.setBackupCount(1);
config.addMapConfig(productMapConfig);
// Management Center
config.setManagementCenterConfig(
new ManagementCenterConfig()
.setEnabled(true)
.setUrl("http://localhost:8080/hazelcast-mancenter"));
return config;
}
@Bean
public HazelcastInstance hazelcastInstance(Config config) {
return Hazelcast.newHazelcastInstance(config);
}
}

2. XML Configuration (hazelcast.xml)

<?xml version="1.0" encoding="UTF-8"?>
<hazelcast xmlns="http://www.hazelcast.com/schema/config"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.hazelcast.com/schema/config
http://www.hazelcast.com/schema/config/hazelcast-config-5.0.xsd">
<cluster-name>production-cluster</cluster-name>
<network>
<port auto-increment="true" port-count="100">5701</port>
<join>
<multicast enabled="false"/>
<tcp-ip enabled="true">
<member>192.168.1.10</member>
<member>192.168.1.11</member>
</tcp-ip>
</join>
</network>
<map name="users">
<backup-count>2</backup-count>
<time-to-live-seconds>3600</time-to-live-seconds>
<max-idle-seconds>1800</max-idle-seconds>
<eviction eviction-policy="LRU" max-size-policy="PER_NODE" size="10000"/>
<near-cache>
<in-memory-format>OBJECT</in-memory-format>
<cache-local-entries>true</cache-local-entries>
</near-cache>
</map>
<map name="products">
<time-to-live-seconds>86400</time-to-live-seconds>
<backup-count>1</backup-count>
</map>
<management-center enabled="true">
<url>http://localhost:8080/hazelcast-mancenter</url>
</management-center>
</hazelcast>

Core Caching Implementation

1. Generic Cache Service

package com.example.cache.service;
import com.hazelcast.core.HazelcastInstance;
import com.hazelcast.map.IMap;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Service;
import java.util.Collection;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;
@Service
public class HazelcastCacheService {
private static final Logger logger = LoggerFactory.getLogger(HazelcastCacheService.class);
private final HazelcastInstance hazelcastInstance;
public HazelcastCacheService(HazelcastInstance hazelcastInstance) {
this.hazelcastInstance = hazelcastInstance;
}
// Basic cache operations
public <K, V> void put(String cacheName, K key, V value) {
IMap<K, V> map = hazelcastInstance.getMap(cacheName);
map.put(key, value);
}
public <K, V> void putWithTTL(String cacheName, K key, V value, long ttl, TimeUnit timeUnit) {
IMap<K, V> map = hazelcastInstance.getMap(cacheName);
map.put(key, value, ttl, timeUnit);
}
public <K, V> V get(String cacheName, K key) {
IMap<K, V> map = hazelcastInstance.getMap(cacheName);
return map.get(key);
}
public <K, V> boolean containsKey(String cacheName, K key) {
IMap<K, V> map = hazelcastInstance.getMap(cacheName);
return map.containsKey(key);
}
public <K, V> void remove(String cacheName, K key) {
IMap<K, V> map = hazelcastInstance.getMap(cacheName);
map.delete(key);
}
// Bulk operations
public <K, V> void putAll(String cacheName, Map<K, V> entries) {
IMap<K, V> map = hazelcastInstance.getMap(cacheName);
map.putAll(entries);
}
public <K, V> Map<K, V> getAll(String cacheName, Set<K> keys) {
IMap<K, V> map = hazelcastInstance.getMap(cacheName);
return map.getAll(keys);
}
// Cache statistics
public <K, V> long getSize(String cacheName) {
IMap<K, V> map = hazelcastInstance.getMap(cacheName);
return map.size();
}
public <K, V> void clear(String cacheName) {
IMap<K, V> map = hazelcastInstance.getMap(cacheName);
map.clear();
}
// Advanced operations
public <K, V> V getOrDefault(String cacheName, K key, V defaultValue) {
IMap<K, V> map = hazelcastInstance.getMap(cacheName);
return map.getOrDefault(key, defaultValue);
}
public <K, V> boolean putIfAbsent(String cacheName, K key, V value) {
IMap<K, V> map = hazelcastInstance.getMap(cacheName);
return map.putIfAbsent(key, value) == null;
}
public <K, V> V computeIfAbsent(String cacheName, K key, 
java.util.function.Function<K, V> mappingFunction) {
IMap<K, V> map = hazelcastInstance.getMap(cacheName);
return map.computeIfAbsent(key, mappingFunction);
}
}

2. Typed Cache Manager

package com.example.cache.manager;
import com.example.cache.service.HazelcastCacheService;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Component;
import java.util.concurrent.TimeUnit;
@Component
public class TypedHazelcastCacheManager {
private static final Logger logger = LoggerFactory.getLogger(TypedHazelcastCacheManager.class);
private final HazelcastCacheService cacheService;
private final ObjectMapper objectMapper;
// Cache names
public static final String USER_CACHE = "users";
public static final String PRODUCT_CACHE = "products";
public static final String SESSION_CACHE = "sessions";
public static final String CONFIG_CACHE = "configurations";
public TypedHazelcastCacheManager(HazelcastCacheService cacheService, ObjectMapper objectMapper) {
this.cacheService = cacheService;
this.objectMapper = objectMapper;
}
// User cache operations
public void cacheUser(String userId, Object userData) {
cacheService.put(USER_CACHE, userId, userData);
}
public void cacheUserWithTTL(String userId, Object userData, long ttlMinutes) {
cacheService.putWithTTL(USER_CACHE, userId, userData, ttlMinutes, TimeUnit.MINUTES);
}
public <T> T getUser(String userId, Class<T> clazz) {
return cacheService.get(USER_CACHE, userId);
}
// Product cache operations
public void cacheProduct(String productId, Object productData) {
cacheService.put(PRODUCT_CACHE, productId, productData);
}
public <T> T getProduct(String productId, Class<T> clazz) {
return cacheService.get(PRODUCT_CACHE, productId);
}
// Session management
public void cacheSession(String sessionId, Object sessionData, long ttlMinutes) {
cacheService.putWithTTL(SESSION_CACHE, sessionId, sessionData, ttlMinutes, TimeUnit.MINUTES);
}
public <T> T getSession(String sessionId, Class<T> clazz) {
return cacheService.get(SESSION_CACHE, sessionId);
}
public void invalidateSession(String sessionId) {
cacheService.remove(SESSION_CACHE, sessionId);
}
// JSON serialization for complex objects
public <T> void cacheJson(String cacheName, String key, T value, long ttlMinutes) {
try {
String json = objectMapper.writeValueAsString(value);
cacheService.putWithTTL(cacheName, key, json, ttlMinutes, TimeUnit.MINUTES);
} catch (JsonProcessingException e) {
logger.error("Failed to serialize object for caching", e);
throw new RuntimeException("Serialization error", e);
}
}
public <T> T getJson(String cacheName, String key, Class<T> clazz) {
try {
String json = cacheService.get(cacheName, key);
return json != null ? objectMapper.readValue(json, clazz) : null;
} catch (Exception e) {
logger.error("Failed to deserialize cached object", e);
return null;
}
}
// Cache-aside pattern with loader
public <T> T getOrLoad(String cacheName, String key, Class<T> clazz, 
CacheLoader<T> loader, long ttlMinutes) {
T value = cacheService.get(cacheName, key);
if (value == null) {
value = loader.load();
if (value != null) {
cacheService.putWithTTL(cacheName, key, value, ttlMinutes, TimeUnit.MINUTES);
}
}
return value;
}
@FunctionalInterface
public interface CacheLoader<T> {
T load();
}
}

Advanced Hazelcast Features

1. Distributed Data Structures

package com.example.cache.distributed;
import com.hazelcast.core.HazelcastInstance;
import com.hazelcast.cp.IAtomicLong;
import com.hazelcast.multimap.MultiMap;
import com.hazelcast.collection.IQueue;
import com.hazelcast.collection.IList;
import com.hazelcast.topic.ITopic;
import org.springframework.stereotype.Component;
@Component
public class DistributedDataStructures {
private final HazelcastInstance hazelcastInstance;
public DistributedDataStructures(HazelcastInstance hazelcastInstance) {
this.hazelcastInstance = hazelcastInstance;
}
// Distributed Atomic Long for counters
public long incrementAndGet(String counterName) {
IAtomicLong atomicLong = hazelcastInstance.getCPSubsystem().getAtomicLong(counterName);
return atomicLong.incrementAndGet();
}
public long getCounter(String counterName) {
IAtomicLong atomicLong = hazelcastInstance.getCPSubsystem().getAtomicLong(counterName);
return atomicLong.get();
}
// MultiMap for one-to-many relationships
public <K, V> void addToMultiMap(String mapName, K key, V value) {
MultiMap<K, V> multiMap = hazelcastInstance.getMultiMap(mapName);
multiMap.put(key, value);
}
public <K, V> Collection<V> getFromMultiMap(String mapName, K key) {
MultiMap<K, V> multiMap = hazelcastInstance.getMultiMap(mapName);
return multiMap.get(key);
}
// Distributed Queue for task processing
public <T> void addToQueue(String queueName, T item) {
IQueue<T> queue = hazelcastInstance.getQueue(queueName);
queue.add(item);
}
public <T> T takeFromQueue(String queueName) throws InterruptedException {
IQueue<T> queue = hazelcastInstance.getQueue(queueName);
return queue.take();
}
// Distributed Topic for pub/sub
public <T> void publish(String topicName, T message) {
ITopic<T> topic = hazelcastInstance.getTopic(topicName);
topic.publish(message);
}
public <T> String subscribe(String topicName, 
com.hazelcast.core.MessageListener<T> listener) {
ITopic<T> topic = hazelcastInstance.getTopic(topicName);
return topic.addMessageListener(listener);
}
}

2. Event Listeners and Continuous Query

package com.example.cache.listeners;
import com.hazelcast.core.EntryEvent;
import com.hazelcast.core.EntryListener;
import com.hazelcast.map.IMap;
import com.hazelcast.map.MapEvent;
import com.hazelcast.query.Predicate;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Component;
import java.util.concurrent.ConcurrentHashMap;
@Component
public class CacheEventListeners {
private static final Logger logger = LoggerFactory.getLogger(CacheEventListeners.class);
private final Map<String, String> listenerRegistrations = new ConcurrentHashMap<>();
public <K, V> void addUserCacheListener(IMap<K, V> userMap) {
String registrationId = userMap.addEntryListener(new EntryListener<K, V>() {
@Override
public void entryAdded(EntryEvent<K, V> event) {
logger.info("User added to cache: {} -> {}", event.getKey(), event.getValue());
// Trigger business logic
}
@Override
public void entryUpdated(EntryEvent<K, V> event) {
logger.info("User updated in cache: {} -> {}", event.getKey(), event.getValue());
}
@Override
public void entryRemoved(EntryEvent<K, V> event) {
logger.info("User removed from cache: {}", event.getKey());
}
@Override
public void entryEvicted(EntryEvent<K, V> event) {
logger.info("User evicted from cache: {}", event.getKey());
}
@Override
public void mapEvicted(MapEvent event) {
logger.info("User cache evicted: {}", event.getNumberOfEntriesAffected());
}
@Override
public void mapCleared(MapEvent event) {
logger.info("User cache cleared");
}
}, true);
listenerRegistrations.put("userCache", registrationId);
}
// Continuous query for real-time updates
public <K, V> void addContinuousQuery(IMap<K, V> map, Predicate<K, V> predicate) {
map.addEntryListener(new EntryListener<K, V>() {
@Override
public void entryAdded(EntryEvent<K, V> event) {
if (predicate.apply(event)) {
handleMatchingEntry(event);
}
}
@Override
public void entryUpdated(EntryEvent<K, V> event) {
if (predicate.apply(event)) {
handleMatchingEntry(event);
}
}
// ... other methods
private void handleMatchingEntry(EntryEvent<K, V> event) {
logger.info("Matching entry detected: {}", event.getKey());
// Process matching entries
}
}, predicate, true);
}
}

Spring Cache Integration

1. Hazelcast Spring Cache Manager

package com.example.cache.spring;
import com.hazelcast.core.HazelcastInstance;
import com.hazelcast.spring.cache.HazelcastCacheManager;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
@Configuration
@EnableCaching
public class HazelcastCacheManagerConfig {
@Bean
@Primary
public CacheManager cacheManager(HazelcastInstance hazelcastInstance) {
return new HazelcastCacheManager(hazelcastInstance);
}
}

2. Using Spring Cache Annotations

package com.example.service;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.cache.annotation.CacheEvict;
import org.springframework.cache.annotation.CachePut;
import org.springframework.cache.annotation.Caching;
import org.springframework.stereotype.Service;
import java.util.List;
@Service
public class UserService {
@Cacheable(value = "users", key = "#userId")
public User getUserById(String userId) {
// This will only execute if user is not in cache
return userRepository.findById(userId)
.orElseThrow(() -> new UserNotFoundException(userId));
}
@Cacheable(value = "users", key = "#username")
public User getUserByUsername(String username) {
return userRepository.findByUsername(username);
}
@CachePut(value = "users", key = "#user.id")
public User updateUser(User user) {
User updatedUser = userRepository.save(user);
return updatedUser;
}
@Caching(evict = {
@CacheEvict(value = "users", key = "#userId"),
@CacheEvict(value = "user-sessions", allEntries = true)
})
public void deleteUser(String userId) {
userRepository.deleteById(userId);
}
@CacheEvict(value = "users", allEntries = true)
public void clearAllUserCache() {
// This will clear all entries in 'users' cache
}
// Conditional caching
@Cacheable(value = "users", key = "#userId", unless = "#result == null")
public User findUserConditional(String userId) {
return userRepository.findById(userId).orElse(null);
}
}

Production Configuration

1. Kubernetes Configuration

@Configuration
public class KubernetesHazelcastConfig {
@Bean
public Config kubernetesConfig() {
Config config = new Config();
config.getNetworkConfig().getJoin().getMulticastConfig().setEnabled(false);
config.getNetworkConfig().getJoin().getTcpIpConfig().setEnabled(false);
// Kubernetes discovery
config.getNetworkConfig().getJoin().getKubernetesConfig()
.setEnabled(true)
.setProperty("namespace", "hazelcast-namespace")
.setProperty("service-name", "hazelcast-service");
// Resource management
config.setInstanceName("hazelcast-cluster");
// Memory configuration
NativeMemoryConfig memoryConfig = new NativeMemoryConfig();
memoryConfig.setEnabled(true)
.setSize(new MemorySize(1024, MemoryUnit.MEGABYTES))
.setAllocatorType(NativeMemoryConfig.MemoryAllocatorType.POOLED);
config.setNativeMemoryConfig(memoryConfig);
return config;
}
}

2. Security Configuration

@Configuration
public class SecurityConfig {
@Bean
public Config secureConfig() {
Config config = new Config();
// Security configuration
SecurityConfig securityConfig = config.getSecurityConfig();
securityConfig.setEnabled(true);
// SSL configuration
SSLConfig sslConfig = new SSLConfig();
sslConfig.setEnabled(true)
.setFactoryClassName("com.hazelcast.nio.ssl.BasicSSLContextFactory")
.setProperty("keyStore", "/path/to/keystore")
.setProperty("keyStorePassword", "password")
.setProperty("trustStore", "/path/to/truststore")
.setProperty("trustStorePassword", "password");
config.getNetworkConfig().setSSLConfig(sslConfig);
return config;
}
}

Monitoring and Management

1. Health Check

package com.example.cache.health;
import com.hazelcast.core.HazelcastInstance;
import com.hazelcast.cluster.Member;
import org.springframework.boot.actuate.health.Health;
import org.springframework.boot.actuate.health.HealthIndicator;
import org.springframework.stereotype.Component;
import java.util.Set;
@Component
public class HazelcastHealthIndicator implements HealthIndicator {
private final HazelcastInstance hazelcastInstance;
public HazelcastHealthIndicator(HazelcastInstance hazelcastInstance) {
this.hazelcastInstance = hazelcastInstance;
}
@Override
public Health health() {
try {
Set<Member> members = hazelcastInstance.getCluster().getMembers();
boolean running = hazelcastInstance.getLifecycleService().isRunning();
if (running && !members.isEmpty()) {
return Health.up()
.withDetail("clusterSize", members.size())
.withDetail("clusterName", hazelcastInstance.getConfig().getClusterName())
.withDetail("localMember", hazelcastInstance.getCluster().getLocalMember().getAddress())
.build();
} else {
return Health.down()
.withDetail("reason", "Cluster not properly formed")
.build();
}
} catch (Exception e) {
return Health.down(e).build();
}
}
}

2. Metrics Collection

package com.example.cache.metrics;
import com.hazelcast.core.HazelcastInstance;
import com.hazelcast.map.IMap;
import io.micrometer.core.instrument.Gauge;
import io.micrometer.core.instrument.MeterRegistry;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;
import java.util.concurrent.atomic.AtomicLong;
@Component
public class HazelcastMetrics {
private final HazelcastInstance hazelcastInstance;
private final MeterRegistry meterRegistry;
public HazelcastMetrics(HazelcastInstance hazelcastInstance, MeterRegistry meterRegistry) {
this.hazelcastInstance = hazelcastInstance;
this.meterRegistry = meterRegistry;
initializeMetrics();
}
private void initializeMetrics() {
// Cluster metrics
Gauge.builder("hazelcast.cluster.size", hazelcastInstance.getCluster(),
cluster -> cluster.getMembers().size())
.register(meterRegistry);
// Map-specific metrics
registerMapMetrics("users");
registerMapMetrics("products");
}
private void registerMapMetrics(String mapName) {
IMap<Object, Object> map = hazelcastInstance.getMap(mapName);
Gauge.builder("hazelcast.map.size", map, IMap::size)
.tag("map", mapName)
.register(meterRegistry);
Gauge.builder("hazelcast.map.owned.entry.count", map, 
m -> m.getLocalMapStats().getOwnedEntryCount())
.tag("map", mapName)
.register(meterRegistry);
}
@Scheduled(fixedRate = 60000)
public void collectStats() {
// Collect and log additional statistics
hazelcastInstance.getDistributedObjects().forEach(obj -> {
if (obj instanceof IMap) {
IMap<?, ?> map = (IMap<?, ?>) obj;
meterRegistry.gauge("hazelcast.map.backup.entry.count", 
map.getLocalMapStats().getBackupEntryCount());
}
});
}
}

Testing

1. Integration Test

@SpringBootTest
class HazelcastIntegrationTest {
@Autowired
private HazelcastInstance hazelcastInstance;
@Autowired
private HazelcastCacheService cacheService;
@Test
void testDistributedCache() {
String key = "test-key";
String value = "test-value";
// Test basic put/get
cacheService.put("test-map", key, value);
String retrieved = cacheService.get("test-map", key);
assertEquals(value, retrieved);
// Verify distribution
IMap<String, String> map = hazelcastInstance.getMap("test-map");
assertEquals(1, map.size());
}
@Test
void testClusterFormation() {
Set<Member> members = hazelcastInstance.getCluster().getMembers();
assertFalse(members.isEmpty());
assertTrue(hazelcastInstance.getLifecycleService().isRunning());
}
}

2. Embedded Test Configuration

@TestConfiguration
class TestHazelcastConfig {
@Bean
public Config testConfig() {
Config config = new Config();
config.getNetworkConfig().getJoin().getMulticastConfig().setEnabled(false);
config.getNetworkConfig().getJoin().getTcpIpConfig().setEnabled(true).addMember("127.0.0.1");
config.setProperty("hazelcast.logging.type", "slf4j");
return config;
}
}

Best Practices

1. Configuration Best Practices

# application.yml
hazelcast:
cluster:
name: ${APP_NAME:my-app}
network:
port: 5701
port-auto-increment: true
map:
users:
backup-count: 2
time-to-live-seconds: 3600
max-idle-seconds: 1800
eviction:
eviction-policy: LRU
max-size-policy: PER_NODE
size: 10000
products:
time-to-live-seconds: 86400
backup-count: 1

2. Memory Management

@Configuration
public class MemoryConfig {
@Bean
public Config memoryOptimizedConfig() {
Config config = new Config();
// Off-heap memory configuration
NativeMemoryConfig memoryConfig = new NativeMemoryConfig();
memoryConfig.setEnabled(true)
.setAllocatorType(NativeMemoryConfig.MemoryAllocatorType.POOLED)
.setSize(new MemorySize(2, MemoryUnit.GIGABYTES))
.setMinBlockSize(16)
.setPageSize(1 << 20);
config.setNativeMemoryConfig(memoryConfig);
// Near cache configuration
EvictionConfig evictionConfig = new EvictionConfig()
.setEvictionPolicy(EvictionPolicy.LRU)
.setMaxSizePolicy(MaxSizePolicy.USED_NATIVE_MEMORY_PERCENTAGE)
.setSize(90);
return config;
}
}

Conclusion

Hazelcast provides a comprehensive distributed caching solution for Java applications with several key advantages:

  • True distributed architecture with automatic data partitioning
  • Rich data structures beyond simple key-value storage
  • Seamless Spring integration with minimal configuration
  • Enterprise-grade features including persistence, security, and monitoring
  • Cloud-native ready with Kubernetes support

When implementing Hazelcast:

  • Design cache keys strategically for optimal distribution
  • Configure appropriate TTL and eviction policies
  • Use near cache for frequently accessed data
  • Implement proper monitoring and health checks
  • Consider security in production environments
  • Test cluster behavior under different network conditions

Hazelcast is particularly well-suited for applications requiring:

  • High-performance distributed caching
  • Real-time data processing
  • Session clustering
  • Distributed computing
  • Event-driven architectures

With proper implementation, Hazelcast can significantly improve application performance, scalability, and reliability in distributed environments.

Category : JAVA

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