Spring Boot and Micrometer with InfluxDB Part 2: Adding InfluxDB
Part 2 of Spring Boot and Micrometer with InfluxDB where I'll show how to add InfluxDB and add a docker instance.
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Join For FreeSince we added our base application it is time for us to spin up an InfluxDB instance.
We shall follow a previous tutorial and add a docker instance.
docker run –rm -p 8086:8086 –name influxdb-local influxdb
Time to add the micrometer InfluxDB dependency on our pom
x
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.2.4.RELEASE</version>
</parent>
<groupId>com.gkatzioura</groupId>
<artifactId>DevJobsApi</artifactId>
<version>1.0-SNAPSHOT</version>
<build>
<defaultGoal>spring-boot:run</defaultGoal>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>8</source>
<target>8</target>
</configuration>
</plugin>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-webflux</artifactId>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>1.18.12</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<dependency>
<groupId>io.micrometer</groupId>
<artifactId>micrometer-core</artifactId>
<version>1.3.2</version>
</dependency>
<dependency>
<groupId>io.micrometer</groupId>
<artifactId>micrometer-registry-influx</artifactId>
<version>1.3.2</version>
</dependency>
</dependencies>
</project>
It's also time to add the configuration through the application.yaml
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management
metrics
export
influx
enabledtrue
dbdevjobsapi
urihttp//127.0.0.18086
endpoints
web
expose"*"
Let’s spin up our application and do some requests.
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curl localhost:8080/jobs/github/1
After some time we can check the database and the data contained.
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docker exec -it influxdb-local influx
> SHOW DATABASES;
name: databases
name
----
_internal
devjobsapi
> use devjobsapi
Using database devjobsapi
> SHOW MEASUREMENTS
name: measurements
name
----
http_server_requests
jvm_buffer_count
jvm_buffer_memory_used
jvm_buffer_total_capacity
jvm_classes_loaded
jvm_classes_unloaded
jvm_gc_live_data_size
jvm_gc_max_data_size
jvm_gc_memory_allocated
jvm_gc_memory_promoted
jvm_gc_pause
jvm_memory_committed
jvm_memory_max
jvm_memory_used
jvm_threads_daemon
jvm_threads_live
jvm_threads_peak
jvm_threads_states
logback_events
process_cpu_usage
process_files_max
process_files_open
process_start_time
process_uptime
system_cpu_count
system_cpu_usage
system_load_average_1m
That’s pretty awesome. Let’s check the endpoints accessed.
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> SELECT*FROM http_server_requests;
name: http_server_requests
time count exception mean method metric_type outcome status sum upper uri
---- ----- --------- ---- ------ ----------- ------- ------ --- ----- ---
1582586157093000000 1 None 252.309331 GET histogram SUCCESS 200 252.309331 252.309331 /actuator
1582586157096000000 0 None 0 GET histogram SUCCESS 200 0 2866.531375 /jobs/github/{page}
Pretty great! The next step would be to visualise those metrics.
Published at DZone with permission of Emmanouil Gkatziouras. See the original article here.
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