Java Flight Recorder (JFR) is a powerful profiling and diagnostics tool built into the JDK. The JFR SDK allows developers to create custom events and extend JFR's capabilities for application-specific monitoring.
Understanding JFR Architecture
JFR consists of three main components:
- Events: Data points captured during application execution
- Recording: Collection of events over a period of time
- Repository: Storage for recording files
Basic JFR SDK Usage
Example 1: Basic Custom Events
import jdk.jfr.*;
import java.time.Duration;
import java.util.concurrent.TimeUnit;
// Define a custom JFR event
@Name("com.example.OrderProcessingEvent")
@Label("Order Processing Event")
@Category({"Business", "Order Management"})
@Description("Tracks order processing lifecycle")
class OrderProcessingEvent extends Event {
@Label("Order ID")
public String orderId;
@Label("Customer ID")
public String customerId;
@Label("Processing Time")
@Description("Time taken to process order in milliseconds")
public long processingTime;
@Label("Order Status")
public String status;
@Label("Items Count")
public int itemsCount;
@Label("Total Amount")
@Amount(Amount.CURRENCY)
public double totalAmount;
}
public class BasicJFRDemo {
public static void main(String[] args) throws Exception {
// Start a JFR recording
Recording recording = new Recording();
recording.setName("BusinessMetrics");
recording.setMaxSize(100 * 1024 * 1024); // 100 MB
recording.setMaxAge(Duration.ofMinutes(10));
recording.start();
// Simulate order processing with JFR events
for (int i = 1; i <= 100; i++) {
processOrder("ORD-" + i, "CUST-" + (i % 10), i * 150.0, i);
Thread.sleep(50);
}
// Stop recording and save to file
recording.stop();
recording.dump(Paths.get("business-metrics.jfr"));
recording.close();
System.out.println("JFR recording saved to business-metrics.jfr");
}
private static void processOrder(String orderId, String customerId,
double amount, int itemsCount) {
OrderProcessingEvent event = new OrderProcessingEvent();
event.begin();
try {
// Simulate order processing
long startTime = System.nanoTime();
// Business logic simulation
Thread.sleep((long) (Math.random() * 100));
boolean success = Math.random() > 0.1; // 90% success rate
event.status = success ? "SUCCESS" : "FAILED";
event.processingTime = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - startTime);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
event.status = "INTERRUPTED";
} finally {
event.orderId = orderId;
event.customerId = customerId;
event.itemsCount = itemsCount;
event.totalAmount = amount;
event.commit();
}
}
}
Example 2: Advanced Event Configuration
import jdk.jfr.*;
import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;
// Custom annotation for threshold-based events
@Retention(RetentionPolicy.RUNTIME)
@Target(ElementType.TYPE)
@interface Threshold {
long value() default 1000; // milliseconds
}
// Timed event with threshold
@Name("com.example.DatabaseQueryEvent")
@Label("Database Query Execution")
@Category({"Database", "Performance"})
@Threshold(500) // 500ms threshold
class DatabaseQueryEvent extends Event {
@Label("Query SQL")
@Description("SQL query being executed")
public String sql;
@Label("Execution Time")
@Description("Query execution time in milliseconds")
public long executionTime;
@Label("Rows Affected")
public int rowsAffected;
@Label("Database Name")
public String database;
@Label("Success")
public boolean success;
@Label("Error Message")
public String errorMessage;
}
// High-volume event with sampling
@Name("com.example.CacheOperationEvent")
@Label("Cache Operation")
@Category({"Cache", "Performance"})
@StackTrace(false) // Disable stack traces for high-frequency events
@Enabled(false) // Disabled by default
class CacheOperationEvent extends Event {
@Label("Operation Type")
public String operation; // GET, PUT, REMOVE
@Label("Cache Name")
public String cacheName;
@Label("Key")
public String key;
@Label("Execution Time")
public long executionTime;
@Label("Cache Hit")
public boolean hit;
}
public class AdvancedEventDemo {
public static void main(String[] args) throws Exception {
// Configure recording with specific settings
Configuration config = Configuration.getConfiguration("default");
Recording recording = new Recording(config);
recording.setName("AdvancedEventsDemo");
recording.setToDisk(true);
recording.setDestination(Paths.get("advanced-events.jfr"));
recording.start();
// Enable specific events programmatically
recording.enable("com.example.DatabaseQueryEvent")
.withStackTrace();
recording.enable("com.example.CacheOperationEvent")
.with("threshold", "1000"); // 1ms threshold
// Simulate database operations
simulateDatabaseOperations();
// Simulate cache operations
simulateCacheOperations();
Thread.sleep(5000);
recording.stop();
recording.close();
}
private static void simulateDatabaseOperations() {
String[] queries = {
"SELECT * FROM users WHERE id = ?",
"UPDATE products SET price = ? WHERE id = ?",
"INSERT INTO orders (user_id, total) VALUES (?, ?)",
"DELETE FROM sessions WHERE expired_at < NOW()"
};
for (int i = 0; i < 50; i++) {
String sql = queries[i % queries.length];
executeDatabaseQuery(sql);
}
}
private static void executeDatabaseQuery(String sql) {
DatabaseQueryEvent event = new DatabaseQueryEvent();
event.begin();
try {
long start = System.nanoTime();
// Simulate database execution
Thread.sleep((long) (Math.random() * 1000));
event.executionTime = (System.nanoTime() - start) / 1_000_000;
event.sql = sql;
event.database = "production-db";
event.rowsAffected = (int) (Math.random() * 1000);
event.success = Math.random() > 0.05; // 95% success rate
if (!event.success) {
event.errorMessage = "Simulated database error";
}
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
event.success = false;
event.errorMessage = "Operation interrupted";
} finally {
event.commit();
}
}
private static void simulateCacheOperations() {
String[] operations = {"GET", "PUT", "REMOVE"};
String[] keys = {"user:123", "product:456", "session:789", "config:app"};
for (int i = 0; i < 1000; i++) {
String operation = operations[i % operations.length];
String key = keys[i % keys.length];
performCacheOperation(operation, key);
}
}
private static void performCacheOperation(String operation, String key) {
CacheOperationEvent event = new CacheOperationEvent();
if (event.isEnabled()) {
event.begin();
try {
long start = System.nanoTime();
// Simulate cache operation
Thread.sleep((long) (Math.random() * 5));
event.executionTime = (System.nanoTime() - start) / 1_000_000;
event.operation = operation;
event.cacheName = "application-cache";
event.key = key;
event.hit = Math.random() > 0.3; // 70% hit rate
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
} finally {
event.commit();
}
} else {
// Perform operation without event recording
try {
Thread.sleep((long) (Math.random() * 5));
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
}
}
}
}
JFR SDK for Application Monitoring
Example 3: Comprehensive Application Monitoring
import jdk.jfr.*;
import java.util.*;
import java.util.concurrent.*;
import java.util.concurrent.atomic.*;
public class ApplicationMonitoringDemo {
private static final AtomicInteger activeRequests = new AtomicInteger(0);
private static final AtomicLong totalRequests = new AtomicLong(0);
private static final Map<String, AtomicLong> endpointStats = new ConcurrentHashMap<>();
// Request event for HTTP endpoints
@Name("com.example.HttpRequestEvent")
@Label("HTTP Request")
@Category({"Web", "Performance"})
class HttpRequestEvent extends Event {
@Label("Request ID")
public String requestId;
@Label("HTTP Method")
public String method;
@Label("Endpoint")
public String endpoint;
@Label("Response Status")
public int statusCode;
@Label("Processing Time")
public long processingTime;
@Label("Active Requests")
public int concurrentRequests;
@Label("User Agent")
public String userAgent;
@Label("Error Message")
public String error;
}
// Garbage collection monitoring
@Name("com.example.GCMonitoringEvent")
@Label("Garbage Collection Info")
@Category({"JVM", "GC"})
@Period("1 s") // Emit every second
class GCMonitoringEvent extends Event {
@Label("Used Heap")
@Description("Used heap memory in bytes")
public long usedHeap;
@Label("Max Heap")
@Description("Maximum heap memory in bytes")
public long maxHeap;
@Label("GC Count")
@Description("Total GC count")
public long gcCount;
@Label("GC Time")
@Description("Total GC time in milliseconds")
public long gcTime;
}
// Business transaction event
@Name("com.example.BusinessTransactionEvent")
@Label("Business Transaction")
@Category({"Business", "Transaction"})
class BusinessTransactionEvent extends Event {
@Label("Transaction ID")
public String transactionId;
@Label("Transaction Type")
public String type;
@Label("Start Time")
public long startTime;
@Label("End Time")
public long endTime;
@Label("Duration")
public long duration;
@Label("Success")
public boolean success;
@Label("Steps Completed")
public int stepsCompleted;
@Label("Total Steps")
public int totalSteps;
}
private final ScheduledExecutorService scheduler = Executors.newScheduledThreadPool(2);
private volatile boolean monitoring = true;
public void startMonitoring() {
// Start JFR recording
Recording recording = new Recording();
recording.setName("ApplicationMonitoring");
recording.enable("com.example.HttpRequestEvent");
recording.enable("com.example.GCMonitoringEvent");
recording.enable("com.example.BusinessTransactionEvent");
recording.start();
// Start background monitoring tasks
startGCMonitoring();
startRequestSimulation();
// Schedule recording stop
scheduler.schedule(() -> {
monitoring = false;
recording.stop();
try {
recording.dump(Paths.get("application-monitoring.jfr"));
System.out.println("Monitoring data saved to application-monitoring.jfr");
} catch (Exception e) {
e.printStackTrace();
}
recording.close();
scheduler.shutdown();
}, 2, TimeUnit.MINUTES);
}
private void startGCMonitoring() {
scheduler.scheduleAtFixedRate(() -> {
GCMonitoringEvent event = new GCMonitoringEvent();
if (event.isEnabled()) {
Runtime runtime = Runtime.getRuntime();
event.usedHeap = runtime.totalMemory() - runtime.freeMemory();
event.maxHeap = runtime.maxMemory();
// In real application, get GC stats from MXBeans
event.gcCount = 0; // Would get from GarbageCollectorMXBean
event.gcTime = 0; // Would get from GarbageCollectorMXBean
event.commit();
}
}, 0, 1, TimeUnit.SECONDS);
}
private void startRequestSimulation() {
for (int i = 0; i < 5; i++) {
scheduler.execute(this::simulateRequests);
}
scheduler.execute(this::simulateBusinessTransactions);
}
private void simulateRequests() {
String[] endpoints = {"/api/users", "/api/products", "/api/orders", "/api/search"};
String[] methods = {"GET", "POST", "PUT", "DELETE"};
String[] userAgents = {"Mozilla/5.0", "Apache-HttpClient", "curl/7.0"};
Random random = new Random();
while (monitoring) {
try {
String endpoint = endpoints[random.nextInt(endpoints.length)];
String method = methods[random.nextInt(methods.length)];
handleHttpRequest(
UUID.randomUUID().toString(),
method,
endpoint,
userAgents[random.nextInt(userAgents.length)]
);
Thread.sleep(random.nextInt(500));
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
break;
}
}
}
private void handleHttpRequest(String requestId, String method, String endpoint, String userAgent) {
HttpRequestEvent event = new HttpRequestEvent();
event.begin();
activeRequests.incrementAndGet();
totalRequests.incrementAndGet();
endpointStats.computeIfAbsent(endpoint, k -> new AtomicLong()).incrementAndGet();
try {
long startTime = System.nanoTime();
// Simulate request processing
Thread.sleep((long) (Math.random() * 1000));
// Simulate occasional errors
boolean success = Math.random() > 0.1; // 90% success rate
event.statusCode = success ? 200 : 500;
if (!success) {
event.error = "Simulated server error";
}
event.processingTime = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - startTime);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
event.statusCode = 503;
event.error = "Service unavailable";
} finally {
event.requestId = requestId;
event.method = method;
event.endpoint = endpoint;
event.userAgent = userAgent;
event.concurrentRequests = activeRequests.get();
event.commit();
activeRequests.decrementAndGet();
}
}
private void simulateBusinessTransactions() {
String[] transactionTypes = {"ORDER_CREATION", "PAYMENT_PROCESSING", "INVENTORY_UPDATE"};
Random random = new Random();
while (monitoring) {
try {
String transactionType = transactionTypes[random.nextInt(transactionTypes.length)];
processBusinessTransaction(
UUID.randomUUID().toString(),
transactionType
);
Thread.sleep(random.nextInt(2000));
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
break;
}
}
}
private void processBusinessTransaction(String transactionId, String type) {
BusinessTransactionEvent event = new BusinessTransactionEvent();
event.begin();
long startTime = System.currentTimeMillis();
event.startTime = startTime;
event.transactionId = transactionId;
event.type = type;
try {
int totalSteps = 3 + (int) (Math.random() * 3); // 3-5 steps
event.totalSteps = totalSteps;
for (int step = 1; step <= totalSteps; step++) {
// Simulate step execution
Thread.sleep((long) (Math.random() * 500));
event.stepsCompleted = step;
// Simulate occasional step failure
if (Math.random() < 0.1) { // 10% chance of failure
throw new RuntimeException("Step " + step + " failed");
}
}
event.success = true;
} catch (Exception e) {
event.success = false;
} finally {
long endTime = System.currentTimeMillis();
event.endTime = endTime;
event.duration = endTime - startTime;
event.commit();
}
}
public static void main(String[] args) throws Exception {
ApplicationMonitoringDemo monitor = new ApplicationMonitoringDemo();
monitor.startMonitoring();
// Keep main thread alive
Thread.sleep(130000); // 2 minutes + buffer
}
}
Advanced JFR SDK Features
Example 4: Dynamic Event Control and Filtering
import jdk.jfr.*;
import java.lang.reflect.*;
import java.util.*;
import java.util.function.*;
public class DynamicJFRControl {
// Event with dynamic thresholds
@Name("com.example.DynamicThresholdEvent")
@Label("Dynamic Threshold Monitoring")
@Category({"Monitoring", "Dynamic"})
class DynamicThresholdEvent extends Event {
@Label("Metric Name")
public String metricName;
@Label("Metric Value")
public double value;
@Label("Threshold")
public double threshold;
@Label("Exceeded")
public boolean thresholdExceeded;
}
private final Map<String, Double> thresholds = new ConcurrentHashMap<>();
private final Map<String, Consumer<Double>> metricHandlers = new ConcurrentHashMap<>();
private final Recording recording;
public DynamicJFRControl() {
this.recording = new Recording();
setupRecording();
}
private void setupRecording() {
recording.setName("DynamicMonitoring");
// Enable events with custom settings
recording.enable("com.example.DynamicThresholdEvent")
.with("threshold", "100.0")
.with("period", "1 s");
recording.start();
}
public void registerMetric(String metricName, double initialThreshold) {
thresholds.put(metricName, initialThreshold);
metricHandlers.put(metricName, value -> {
double threshold = thresholds.get(metricName);
boolean exceeded = value > threshold;
if (exceeded) {
DynamicThresholdEvent event = new DynamicThresholdEvent();
event.metricName = metricName;
event.value = value;
event.threshold = threshold;
event.thresholdExceeded = true;
event.commit();
}
});
}
public void updateThreshold(String metricName, double newThreshold) {
thresholds.put(metricName, newThreshold);
System.out.println("Updated threshold for " + metricName + " to " + newThreshold);
}
public void recordMetric(String metricName, double value) {
Consumer<Double> handler = metricHandlers.get(metricName);
if (handler != null) {
handler.accept(value);
}
}
public void startMetricSimulation() {
Thread simulator = new Thread(() -> {
Random random = new Random();
String[] metrics = {"CPU_Usage", "Memory_Usage", "Response_Time", "Queue_Size"};
// Initialize metrics
for (String metric : metrics) {
registerMetric(metric, 80.0); // Default threshold 80%
}
while (true) {
try {
for (String metric : metrics) {
double value = 50 + random.nextDouble() * 60; // 50-110%
recordMetric(metric, value);
}
// Randomly adjust thresholds
if (random.nextDouble() < 0.1) { // 10% chance
String randomMetric = metrics[random.nextInt(metrics.length)];
double newThreshold = 70 + random.nextDouble() * 30; // 70-100%
updateThreshold(randomMetric, newThreshold);
}
Thread.sleep(1000);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
break;
}
}
});
simulator.setDaemon(true);
simulator.start();
}
public void stop() {
recording.stop();
try {
recording.dump(Paths.get("dynamic-monitoring.jfr"));
} catch (Exception e) {
e.printStackTrace();
}
recording.close();
}
public static void main(String[] args) throws Exception {
DynamicJFRControl controller = new DynamicJFRControl();
controller.startMetricSimulation();
// Run for 30 seconds
Thread.sleep(30000);
controller.stop();
}
}
Example 5: JFR with Custom Annotations and Metadata
import jdk.jfr.*;
import java.lang.annotation.*;
import java.util.*;
// Custom annotations for business monitoring
@Retention(RetentionPolicy.RUNTIME)
@Target(ElementType.TYPE)
@interface BusinessEvent {
String domain();
String subdomain() default "";
Severity severity() default Severity.INFO;
}
enum Severity {
INFO, WARNING, ERROR, CRITICAL
}
@Retention(RetentionPolicy.RUNTIME)
@Target(ElementType.FIELD)
@interface SensitiveData {
boolean mask() default true;
}
// Business event with custom annotations
@Name("com.example.UserLoginEvent")
@Label("User Login Event")
@BusinessEvent(domain = "Security", subdomain = "Authentication", severity = Severity.INFO)
class UserLoginEvent extends Event {
@Label("User ID")
public String userId;
@Label("Login Time")
public long loginTime;
@Label("IP Address")
public String ipAddress;
@Label("User Agent")
public String userAgent;
@Label("Success")
public boolean success;
@SensitiveData
@Label("Failure Reason")
public String failureReason;
@Label("Session Duration")
public long sessionDuration;
}
@Name("com.example.PaymentEvent")
@Label("Payment Processing Event")
@BusinessEvent(domain = "Finance", subdomain = "Payments", severity = Severity.WARNING)
class PaymentEvent extends Event {
@Label("Payment ID")
public String paymentId;
@Label("Amount")
@Amount(Amount.CURRENCY)
public double amount;
@Label("Currency")
public String currency;
@Label("Payment Method")
public String paymentMethod;
@Label("Status")
public String status;
@Label("Processing Time")
public long processingTime;
@SensitiveData(mask = false) // Don't mask for auditing
@Label("Customer Email")
public String customerEmail;
}
public class AnnotatedEventsDemo {
private final Map<Class<? extends Event>, BusinessEvent> eventMetadata = new HashMap<>();
private final Recording recording;
public AnnotatedEventsDemo() {
// Collect event metadata
eventMetadata.put(UserLoginEvent.class,
UserLoginEvent.class.getAnnotation(BusinessEvent.class));
eventMetadata.put(PaymentEvent.class,
PaymentEvent.class.getAnnotation(BusinessEvent.class));
this.recording = new Recording();
setupRecording();
}
private void setupRecording() {
recording.setName("AnnotatedBusinessEvents");
// Configure events based on annotations
for (Class<? extends Event> eventClass : eventMetadata.keySet()) {
BusinessEvent meta = eventMetadata.get(eventClass);
String eventName = eventClass.getAnnotation(Name.class).value();
EventSettings settings = recording.enable(eventName);
// Adjust settings based on severity
switch (meta.severity()) {
case CRITICAL:
case ERROR:
settings.withStackTrace();
break;
case WARNING:
settings.with("threshold", "0 ms");
break;
}
}
recording.start();
}
public void simulateUserLogins() {
String[] users = {"alice", "bob", "charlie", "diana"};
String[] ips = {"192.168.1.1", "10.0.0.1", "172.16.0.1"};
String[] userAgents = {
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36"
};
Random random = new Random();
for (int i = 0; i < 50; i++) {
UserLoginEvent event = new UserLoginEvent();
event.begin();
try {
String user = users[random.nextInt(users.length)];
event.userId = user;
event.loginTime = System.currentTimeMillis();
event.ipAddress = ips[random.nextInt(ips.length)];
event.userAgent = userAgents[random.nextInt(userAgents.length)];
event.success = random.nextDouble() > 0.1; // 90% success rate
if (!event.success) {
event.failureReason = random.nextBoolean() ?
"Invalid credentials" : "Account locked";
}
// Simulate login processing
Thread.sleep(random.nextInt(200));
if (event.success) {
// Simulate session
Thread.sleep(random.nextInt(1000));
event.sessionDuration = random.nextInt(3600000); // up to 1 hour
}
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
} finally {
event.commit();
}
}
}
public void simulatePayments() {
String[] currencies = {"USD", "EUR", "GBP", "JPY"};
String[] methods = {"CREDIT_CARD", "PAYPAL", "BANK_TRANSFER"};
String[] statuses = {"SUCCESS", "FAILED", "PENDING", "DECLINED"};
Random random = new Random();
for (int i = 0; i < 30; i++) {
PaymentEvent event = new PaymentEvent();
event.begin();
try {
event.paymentId = "PAY-" + UUID.randomUUID().toString().substring(0, 8);
event.amount = 10 + random.nextDouble() * 990; // $10-$1000
event.currency = currencies[random.nextInt(currencies.length)];
event.paymentMethod = methods[random.nextInt(methods.length)];
event.status = statuses[random.nextInt(statuses.length)];
event.customerEmail = "customer" + i + "@example.com";
// Simulate payment processing
long startTime = System.nanoTime();
Thread.sleep(100 + random.nextInt(400));
event.processingTime = (System.nanoTime() - startTime) / 1_000_000;
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
} finally {
event.commit();
}
}
}
public void stop() {
recording.stop();
try {
recording.dump(Paths.get("annotated-events.jfr"));
// Print event statistics
System.out.println("=== Event Statistics ===");
for (Class<? extends Event> eventClass : eventMetadata.keySet()) {
BusinessEvent meta = eventMetadata.get(eventClass);
System.out.printf("Event: %s, Domain: %s, Severity: %s%n",
eventClass.getSimpleName(), meta.domain(), meta.severity());
}
} catch (Exception e) {
e.printStackTrace();
}
recording.close();
}
public static void main(String[] args) throws Exception {
AnnotatedEventsDemo demo = new AnnotatedEventsDemo();
demo.simulateUserLogins();
demo.simulatePayments();
demo.stop();
}
}
Best Practices for JFR SDK
1. Event Design
// Good event design principles
@Name("com.example.WellDesignedEvent")
@Label("Well Designed Business Event")
@Category({"Business", "Monitoring"})
class WellDesignedEvent extends Event {
// Use meaningful labels and descriptions
@Label("Business Correlation ID")
@Description("Unique identifier for business transaction correlation")
public String correlationId;
// Use appropriate data types
@Label("Processing Duration")
@Description("Time taken to process in milliseconds")
public long duration;
// Use enums for fixed sets of values
@Label("Operation Status")
public OperationStatus status;
// Avoid sensitive data or use masking
@SensitiveData
@Label("User Identifier")
public String userId;
}
enum OperationStatus {
SUCCESS, FAILED, TIMEOUT, RETRY
}
2. Performance Considerations
class PerformanceAwareEvents {
// Check if event is enabled before expensive operations
public void performOperation() {
ExpensiveOperationEvent event = new ExpensiveOperationEvent();
if (event.isEnabled()) {
// Only compute expensive data if event is enabled
String expensiveData = computeExpensiveData();
event.data = expensiveData;
event.begin();
// ... operation logic
event.commit();
} else {
// Perform operation without event overhead
performOperationLogic();
}
}
private String computeExpensiveData() {
// Expensive computation
return "expensive-result";
}
private void performOperationLogic() {
// Normal operation without event overhead
}
}
Use Cases for JFR SDK
- Application Performance Monitoring: Custom business metrics
- Troubleshooting: Detailed event logging for debugging
- Capacity Planning: Resource usage patterns
- Security Auditing: Authentication and authorization events
- Business Analytics: Transaction monitoring and analysis
Conclusion
The Java Flight Recorder SDK provides powerful capabilities for:
- Custom Event Creation: Tailor monitoring to specific business needs
- Fine-Grained Control: Dynamic event configuration and filtering
- Low Overhead: Efficient event collection with minimal performance impact
- Integration: Seamless integration with existing JFR ecosystem
- Production Ready: Built-in support in modern JDKs
Key benefits include:
- Deep Application Insights: Business-level telemetry alongside system metrics
- Performance Diagnostics: Correlate business events with JVM performance
- Operational Excellence: Proactive monitoring and alerting
- Reduced Debugging Time: Detailed event context for troubleshooting
The JFR SDK transforms JFR from a system profiling tool into a comprehensive application observability platform, enabling organizations to gain deep insights into both technical and business aspects of their Java applications.