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Java

tip

If your code runs within Kubernetes, it's best practice to use our Kubernetes integration to collect various telemetry types.

Logs​

note

Project's GitHub repo

The Logz.io Log4j 2 appender sends logs using non-blocking threading, bulks, and HTTPS encryption to port 8071.

This appender uses LogzioSender. Logs queue in the buffer and are 100% non-blocking. A background task handles log shipping. To help manage dependencies, this .jar shades LogzioSender, BigQueue, Gson, and Guava.

Before you begin, you'll need: Log4j 2.7 or higher, Java 8 or higher

Add the dependency to your project​

Add a dependency to your project configuration file (for instance, pom.xml in a Maven project).

JDK 8:

    <dependency>
        <groupId>io.logz.log4j2</groupId>
        <artifactId>logzio-log4j2-appender</artifactId>
        <version>1.0.19</version>
    </dependency>

JDK 11 and above:

    <dependency>
        <groupId>io.logz.log4j2</groupId>
        <artifactId>logzio-log4j2-appender</artifactId>
        <version>2.0.0</version>
    </dependency>

The appender also requires a logger implementation, for example:

    <dependency>
        <groupId>org.apache.logging.log4j</groupId>
        <artifactId>log4j-slf4j-impl</artifactId>
        <version>2.15.0</version>
    </dependency>

The logzio-log4j2-appender artifact can be found in the Maven central repo at https://search.maven.org/artifact/io.logz.log4j2/logzio-log4j2-appender.

Configure the appender​

Use the samples in the code block below as a starting point, and replace the sample with a configuration that matches your needs.

For a complete list of options, see the configuration parameters below the code block.👇

XML example:

<Appenders>

  <!-- Replace these parameters with your configuration -->
  <LogzioAppender name="Logzio">
    <logzioToken><<LOG-SHIPPING-TOKEN>></logzioToken>
    <logzioUrl>https://<<LISTENER-HOST>>:8071</logzioUrl>
    <logzioType>myAwesomeType</logzioType>
  </LogzioAppender>

</Appenders>

<Loggers>
  <Root level="info">
    <AppenderRef ref="Logzio"/>
  </Root>
</Loggers>

log4j2.properties example:

# Extra logging related to initialization of Log4j
# Set to debug or trace if log4j initialization is failing
status = debug
# Name of the configuration
name = io.logz.log4j2

appenders=logzioAppender

# Logz.io configuration
appender.logzioAppender.type = logzioAppender
appender.logzioAppender.name = Logzio
appender.logzioAppender.LogzioToken = <<LOG-SHIPPING-TOKEN>>
appender.logzioAppender.LogzioType = myAwesomeType
appender.logzioAppender.LogzioUrl = https://<<LISTENER-HOST>>:8071

# Root logger level
rootLogger.level = debug
# Root logger referring to logzio appender
rootLogger.appenderRef.logzioAppender.ref = logzioAppender
note

See the Log4j documentation for more information on the Log4j 2 configuration file.

Parameters​

ParameterDefaultExplainedRequired/Optional
logzioTokenNoneYour Logz.io log shipping token securely directs the data to your Logz.io account. Replace <<LOG-SHIPPING-TOKEN>> with the token of the account you want to ship to. Begin with $ to use an environment variable or system property with the specified name. For example, $LOGZIO_TOKEN uses the LOGZIO_TOKEN environment variable.Required
logzioTypejavaThe log type for that appender, it must not contain any spacesOptional
logzioUrlhttps://listener.logz.io:8071Listener URL and port. Replace <<LISTENER-HOST>> with the host for your region. For example, listener.logz.io if your account is hosted on AWS US East, or listener-nl.logz.io if hosted on Azure West Europe. The required port depends whether HTTP or HTTPS is used: HTTP = 8070, HTTPS = 8071.Required
drainTimeoutSec5How often the appender should drain the queue (in seconds)Required
socketTimeoutMs10 1000*The socket timeout during log shipmentRequired
connectTimeoutMs10 1000*The connection timeout during log shipmentRequired
addHostnamefalseIf true, then a field named 'hostname' will be added holding the host name of the machine. If from some reason there's no defined hostname, this field won't be addedRequired
additionalFieldsNoneAllows to add additional fields to the JSON message sent. The format is "fieldName1=fieldValue1;fieldName2=fieldValue2". You can optionally inject an environment variable value using the following format: "fieldName1=fieldValue1;fieldName2=$ENV_VAR_NAME". In that case, the environment variable should be the only value. In case the environment variable can't be resolved, the field will be omitted.Optional
debugfalsePrint some debug messages to stdout to help to diagnose issuesRequired
compressRequestsfalseBoolean. true if logs are compressed in gzip format before sending. false if logs are sent uncompressed.Required
exceedMaxSizeAction"cut"String. cut to truncate the message field or drop to drop log that exceed the allowed maximum size for logzio. If the log size exceeding the maximum size allowed after truncating the message field, the log will be dropped.Required

Parameters for in-memory queue​

ParameterDefaultExplained
inMemoryQueueCapacityBytes1024 1024 100The amount of memory(bytes) we are allowed to use for the memory queue. If the value is -1 the sender will not limit the queue size.
inMemoryLogsCountCapacity-1Number of logs we are allowed to have in the queue before dropping logs. If the value is -1 the sender will not limit the number of logs allowed.
inMemoryQueuefalseSet to true if the appender uses in memory queue. By default the appender uses disk queue

Parameters for disk queue​

ParameterDefaultExplained
fileSystemFullPercentThreshold98The percent of used file system space at which the sender will stop queueing. When we will reach that percentage, the file system in which the queue is stored will drop all new logs until the percentage of used space drops below that threshold. Set to -1 to never stop processing new logs
gcPersistedQueueFilesIntervalSeconds30How often the disk queue should clean sent logs from disk
bufferDir(deprecated, use queueDir)System.getProperty("java.io.tmpdir")Where the appender should store the queue
queueDirSystem.getProperty("java.io.tmpdir")Where the appender should store the queue

Code Example​

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;

public class LogzioLog4j2Example {
  public static void main(String[] args) {
    Logger logger = LogManager.getLogger(LogzioLog4j2Example.class);

    logger.info("Testing logz.io!");
    logger.warn("Winter is coming");
  }
}

Troubleshooting​

If you receive an error message regarding a missing appender, try adding the following configuration to the beginning and end of the configuration file:


<Configuration status="info" packages="io.logz.log4j2">

# Place the configuration from step 2

</Configuration>

MDC​

When you add mapped diagnostic context (MDC) to your logs, each key-value pair you define is added log lines while the thread is alive.

So this code sample...

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.logging.log4j.ThreadContext;

public class LogzioLog4j2Example {
  public static void main(String[] args) {
    Logger logger = LogManager.getLogger(LogzioLog4j2Example.class);
    ThreadContext.put("Key", "Value");
    logger.info("This log will hold the MDC data as well");
  }
}

...produces this log output.

{
  "message": "This log will hold the MDC data as well",
  "Key": "Value",
  "Your log message follows": "..."
}

Markers​

Markers are values you can use to tag and enrich log statements.

This code...

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.logging.log4j.Marker;
import org.apache.logging.log4j.MarkerManager;

public class LogzioLog4j2Example {
  public static void main(String[] args) {
    Logger logger = LogManager.getLogger(LogzioLog4j2Example.class);
    Marker marker = MarkerManager.getMarker("Fatal");
    logger.error(marker, "This line has a fatal error");
  }
}

...produces this log output.

{
  "message": "This line has a fatal error",
  "Marker": "Fatal",
  "Your log message follows": "..."
}
## Metrics
note

Project's GitHub repo

Usage​

<dependency>
    <groupId>io.logz.micrometer</groupId>
    <artifactId>micrometer-registry-logzio</artifactId>
    <version>1.0.2</version>
</dependency>

Import in your package​

import io.micrometer.logzio.LogzioConfig;
import io.micrometer.logzio.LogzioMeterRegistry;

Quick start​

Replace the placeholders in the code (indicated by the double angle brackets << >>) to match your specifics.

Environment variableDescriptionRequired/Default
<<LISTENER-HOST>>The full Logz.io Listener URL for for your region, configured to use port 8052 for http traffic, or port 8053 for https traffic (example: https://listener.logz.io:8053). For more details, see the regions page in logz.io docsRequired
<<PROMETHEUS-METRICS-SHIPPING-TOKEN>>The Logz.io Prometheus Metrics account token. Find it under Settings > Manage accounts. Look up your Metrics account token.Required
intervalThe interval in seconds, to push metrics to Logz.io Note that your program will need to run for at least one interval for the metrics to be sentRequired

In your package​

package your_package;
import io.micrometer.core.instrument.*;
import io.micrometer.core.instrument.Timer;
import io.micrometer.logzio.LogzioConfig;
import io.micrometer.logzio.LogzioMeterRegistry;

class MicrometerLogzio {

   public static void main(String[] args) {
       // initilize config
      LogzioConfig logzioConfig = new LogzioConfig() {
         @Override
         public String get(String key) {
            return null;
         }
         @Override
         public String uri() {
           return "https://<<LISTENER-HOST>>";
           // example:
           // return "https://listener.logz.io:8053"; 
         }
         
         @Override
         public String token() {
            return "<<PROMETHEUS-METRICS-SHIPPING-TOKEN>>";
         }

         @Override
         public Duration step() {
           return Duration.ofSeconds(<<interval>>);
           // example:
           // return Duration.ofSeconds(30);                    
         }
         @Override
         public Hashtable<String, String> includeLabels() {
             return new Hashtable<>();
         }
         @Override
         public Hashtable<String, String> excludeLabels() {
             return new Hashtable<>();
      };
      // Initialize registry
       LogzioMeterRegistry registry = new LogzioMeterRegistry(logzioConfig, Clock.SYSTEM);
       // Define tags (labels)
       ArrayList<Tag> tags = new ArrayList<>();
       tags.add(Tag.of("env","dev-micrometer"));

      // Create counter
      Counter counter = Counter
              .builder("counter_example")
              .description("a description of what this counter does") // optional
              .tags(tags) // optional
              .register(registry);
      // Increment your counter
      counter.increment(); 
      counter.increment(2); 
   }
}

Common tags​

You can attach common tags to your registry that will be added to all metrics reported, for example:

// Initialize registry
LogzioMeterRegistry registry = new LogzioMeterRegistry(logzioConfig, Clock.SYSTEM);
// Define tags (labels)
registry.config().commonTags("key", "value");

Filter labels​

You can the includeLabels or excludeLabels functions to filter your metrics by labels.

Include​

Take for example this following usage, In your LogzioConfig() constructor:

@Override
public Hashtable<String, String> includeLabels() {
    Hashtable<String, String> includeLabels = new Hashtable<>();
    includeLabels.put("__name__", "my_counter_abc_total|my_second_counter_abc_total");
    includeLabels.put("k1", "v1");
    return includeLabels;
}

The registry will keep only metrics with the label __name__ matching the regex my_counter_abc_total|my_second_counter_abc_total, and with the label k1 matching the regex v1.

Exclude​

In your LogzioConfig() constructor

@Override
public Hashtable<String, String> excludeLabels() {
    Hashtable<String, String> excludeLabels = new Hashtable<>();
    excludeLabels.put("__name__", "my_counter_abc_total|my_second_counter_abc_total");
    excludeLabels.put("k1", "v1");
    return excludeLabels;
}

The registry will drop all metrics with the label __name__ matching the regex my_counter_abc_total|my_second_counter_abc_total, and with the label k1 matching the regex v1.

Meter binders​

Micrometer provides a set of binders for monitoring JVM metrics out of the box, for example:

// Initialize registry
LogzioMeterRegistry registry = new LogzioMeterRegistry(logzioConfig, Clock.SYSTEM);

// Gauges buffer and memory pool utilization
new JvmMemoryMetrics().bindTo(registry);
// Gauges max and live data size, promotion and allocation rates, and times GC pauses
new JvmGcMetrics().bindTo(registry);
// Gauges current CPU total and load average.
new ProcessorMetrics().bindTo(registry);
// Gauges thread peak, number of daemon threads, and live threads
new JvmThreadMetrics().bindTo(registry);
// Gauges loaded and unloaded classes
new ClassLoaderMetrics().bindTo(registry);

// File descriptor metrics gathered by the JVM
new FileDescriptorMetrics(tags).bindTo(registry);
// Gauges The uptime and start time of the Java virtual machine
new UptimeMetrics(tags).bindTo(registry);

// Counter of logging events
new LogbackMetrics().bindTo(registry);
new Log4j2Metrics().bindTo(registry);

For more information about other binders check out Micrometer-core Github repo.

Types of metrics​

Refer to the Micrometer documentation for more details.

NameBehavior
CounterMetric value can only go up or be reset to 0, calculated per counter.increment(value); call.
GaugeMetric value can arbitrarily increment or decrement, values can set automaticaly by tracking Collection size or set manually by gauge.set(value)
DistributionSummaryMetric values captured by the summary.record(value) function, the output is a distribution of count,sum and max for the recorded values during the push interval.
TimerMesures timing, metric values can be recorded by timer.record() call.
Counter​
Counter counter = Counter
        .builder("counter_example")
        .description("a description of what this counter does") // optional
        .tags(tags) // optional
        .register(registry);
// Increment your counter
counter.increment(); 
counter.increment(2); 
// The following metric will be created and sent to Logz.io: counter_example_total{env="dev"} 3
Gauge​
// Create Gauge
List<String> cache = new ArrayList<>(4);
// Track list size
Gauge gauge = Gauge
        .builder("cache_size_gauge_example", cache, List::size)
        .tags(tags)
        .register(registry);
cache.add("1");
// The following metric will be created and sent to Logz.io: cache_size_gauge_example{env="dev"} 1
        
// Track map size
Map<String, Integer> map_gauge = registry.gaugeMapSize("map_gauge_example", tags, new HashMap<>());
map_gauge.put("key",1);
// The following metric will be created and sent to Logz.io: map_gauge_example{env="dev"} 1
        
// set value manually
AtomicInteger manual_gauge = registry.gauge("manual_gauge_example", new AtomicInteger(0));
manual_gauge.set(83);
// The following metric will be created and sent to Logz.io:: manual_gauge_example{env="dev"} 83
DistributionSummary​
// Create DistributionSummary
DistributionSummary summary = DistributionSummary
        .builder("summary_example")
        .description("a description of what this summary does") // optional
        .tags(tags) // optional
        .register(registry);
// Record values to distributionSummary
summary.record(10);
summary.record(20);
summary.record(30);
// // The following metrics will be created and sent to Logz.io: 
// summary_example_count{env="dev"} 3
// summary_example_max{env="dev"} 30
// summary_example_sum{env="dev"} 60
Timer​
// Create Timer
Timer timer = Timer
        .builder("timer_example")
        .description("a description of what this timer does") // optional
        .tags(tags) // optional
        .register(registry);
// You can set a value manually
timer.record(1500,TimeUnit.MILLISECONDS);
// You can record the timing of a function
timer.record(()-> {
    try {
        Thread.sleep(1500);
    } catch (InterruptedException e) {
        e.printStackTrace();
    }
});
// The following metrics will be created and sent to Logz.io: 
// timer_example_duration_seconds_count{env="dev"} 2
// timer_example_duration_seconds_max{env="dev"} 1501
// timer_example_duration_seconds_sum{env="dev"} 3000

Run your application​

Run your application to start sending metrics to Logz.io.

Check Logz.io for your metrics​

Give your metrics some time to get from your system to ours, and then open Metrics dashboard.

Traces​

Deploy this integration to enable automatic instrumentation of your Java application using OpenTelemetry.

This integration includes:

  • Downloading the OpenTelemetry Java agent to your application host
  • Installing the OpenTelemetry collector with Logz.io exporter
  • Establishing communication between the agent and collector

On deployment, the Java agent automatically captures spans from your application and forwards them to the collector, which exports the data to your Logz.io account.

Setup auto-instrumentation for your locally hosted Java application and send traces to Logz.io​

Before you begin, you'll need:

  • A Java application without instrumentation
  • An active account with Logz.io
  • Port 4317 available on your host system
  • A name defined for your tracing service. You will need it to identify the traces in Logz.io.
note

This integration uses OpenTelemetry Collector Contrib, not the OpenTelemetry Collector Core.

Download Java agent​

Download the latest version of the OpenTelemetry Java agent to the host of your Java application.

Download and configure OpenTelemetry collector​

Create a dedicated directory on the host of your Java application and download the OpenTelemetry collector that is relevant to the operating system of your host.

After downloading the collector, create a configuration file config.yaml with the following parameters:

receivers:
  otlp:
    protocols:
      grpc:
        endpoint: "0.0.0.0:4317"
      http:
        endpoint: "0.0.0.0:4318"

exporters:
  logzio/traces:
    account_token: "<<TRACING-SHIPPING-TOKEN>>"
    region: "<<LOGZIO_ACCOUNT_REGION_CODE>>"

  logging:

processors:
  batch:
  tail_sampling:
    policies:
      [
        {
          name: policy-errors,
          type: status_code,
          status_code: {status_codes: [ERROR]}
        },
        {
          name: policy-slow,
          type: latency,
          latency: {threshold_ms: 1000}
        }, 
        {
          name: policy-random-ok,
          type: probabilistic,
          probabilistic: {sampling_percentage: 10}
        }        
      ]

extensions:
  pprof:
    endpoint: :1777
  zpages:
    endpoint: :55679
  health_check:

service:
  extensions: [health_check, pprof, zpages]
  pipelines:
    traces:
      receivers: [otlp]
      processors: [tail_sampling, batch]
      exporters: [logging, logzio/traces]

Replace <<TRACING-SHIPPING-TOKEN>> with the token of the account you want to ship to.

Replace <LOGZIO_ACCOUNT_REGION_CODE> with the applicable region code.

Start the collector​

Run the following command:

<path/to>/otelcontribcol_<VERSION-NAME> --config ./config.yaml
  • Replace <path/to> with the path to the directory where you downloaded the collector.
  • Replace <VERSION-NAME> with the version name of the collector applicable to your system, e.g. otelcontribcol_darwin_amd64.

Attach the agent to the runtime and run it​

Run the following command from the directory of your Java application:

java -javaagent:<path/to>/opentelemetry-javaagent-all.jar \
     -Dotel.traces.exporter=otlp \
     -Dotel.metrics.exporter=none \
     -Dotel.resource.attributes=service.name=<YOUR-SERVICE-NAME> \
     -Dotel.exporter.otlp.endpoint=http://localhost:4317 \
     -jar target/*.jar
  • Replace <path/to> with the path to the directory where you downloaded the agent.
  • Replace <YOUR-SERVICE-NAME> with the name of your tracing service defined earlier.

Controlling the number of spans​

To limit the number of outgoing spans, you can use the sampling option in the Java agent.

The sampler configures whether spans will be recorded for any call to SpanBuilder.startSpan.

System propertyEnvironment variableDescription
otel.traces.samplerOTEL_TRACES_SAMPLERThe sampler to use for tracing. Defaults to parentbased_always_on
otel.traces.sampler.argOTEL_TRACES_SAMPLER_ARGAn argument to the configured tracer if supported, for example a ratio.

Supported values for otel.traces.sampler are

  • "always_on": AlwaysOnSampler
  • "always_off": AlwaysOffSampler
  • "traceidratio": TraceIdRatioBased. otel.traces.sampler.arg sets the ratio.
  • "parentbased_always_on": ParentBased(root=AlwaysOnSampler)
  • "parentbased_always_off": ParentBased(root=AlwaysOffSampler)
  • "parentbased_traceidratio": ParentBased(root=TraceIdRatioBased). otel.traces.sampler.arg sets the ratio.

Check Logz.io for your traces​

Give your traces some time to get from your system to ours, and then open Tracing.