Spring Boot on GCP
Spring Boot on GCP
Introduction
Getting Started
Google Cloud Platform
Cloud Shell
gcloud CLI
Hello World!
Application Development
Development Tools
Spring Cloud GCP
Cloud Services
Observability
Trace
Logging
Metrics
Profiling
Debugging
DevOps
Deployment
Runtime Environments
Container
Kubernetes
Istio
Additional Resources
Code Labs
Presentations / Videos
Cheat Sheets
Powered by GitBook

Profiling

Cloud Profiler

​Cloud Profiler allows you to continuously profile CPU and heap usages to help identify performance bottlenecks and critical paths in your application. It'll be able to produce flame graph on which parts of your application uses the most CPU and/or Heap.

Enable API

gcloud services enable cloudprofiler.googleapis.com

CPU Time

The CPU time for a function tells you how long the CPU was busy executing instructions. It doesn't include the time the CPU was waiting or processing instructions for something else.

Wall Time

The wall-clock time for a function measures the time elapsed between entering and exiting a function. Wall-clock time includes all wait time, including that for locks and thread synchronization. If the wall-clock time is significantly longer than the CPU time, then that is an indication the code spends a lot of time waiting. This might be an indication of a resource bottleneck.

Heap

The heap consumption is the amount of memory allocated in the Java program's heap - this can help you find potential inefficiencies and memory leaks in your application.

Java Agent

Cloud Profiler works by adding a Java agent to your JVM startup argument, and the agent can communicate with the Cloud Profiler service in the Cloud. Through the Cloud Console, you can then see the collected profile data.

Agent Files

A Cloud Profiler agent can work both within Google Cloud environments using the Machine Credentials, and outside of Google Cloud environments (e.g., on-premises, and in another cloud) using a Service Account key file.

Latest Version

Versioned URL

​Download​

​https://storage.googleapis.com/cloud-profiler/java/cloud-profiler-java-agent_${VERSION}.tar.gz​

Unfortunately, the list of versions are not available on GitHub. The only way to see the list of available versions is listing the Google Cloud Storage bucket that contains all the binaries:

gsutil ls gs://cloud-profiler/java/cloud-profiler-*

See Profiling Java Applications for more information.

Agent Configurations

Agent Path

To use the agent, you'll need to configure the JVM command line using the standard -agentpath , e.g.:

java -agentpath:/opt/cprof/profiler_java_agent.so \
  -jar ...

Rather than hard coding the startup command line, you can also configure it with the JAVA_TOOL_OPTIONS environmental variable:

JAVA_TOOL_OPTIONS="-agentpath:/opt/cprof/profiler_java_agent.so"
java -jar ...

Agent Configurations

You can specify additional Agent configurations within the same agentpath argument, in the form of java -agentpath:/opt/cprof/profiler_java_agent.so=FLAG1=VALUE1,FLAG2=VALUE2.

Heap sampling is only available in Java 11 and higher. To turn on both CPU and Heap profiling for a Java 11 application:

java -agentpath:/opt/cprof/profiler_java_agent.so=-cprof_enable_heap_sampling=true \
  -jar ...

See Profiling Java applications Agent Configuration document for all the possible agent configuration flags.

Logging

By default the Cloud Profiler does not output any logs. You can turn on logging by using -logtostderrflag, and configure the log level using ‑minloglevelflag.

java -agentpath:/opt/cprof/profiler_java_agent.so=-logtostderr,-minloglevel=2 \
  -jar ...

See Profiling Java applications Agent Logging document for all the possible log levels.

Runtime Configuration

App Engine
Cloud Run
Kubernetes Engine
Compute Engine
Non-Google Cloud Environment
App Engine

Follow App Engine Hello World! instructions to deploy an application to App Engine.

Cloud Profiler agent is already present in your App Engine application. However, it is not on by default. You can turn it on by using the JAVA_TOOL_OPTIONS environmental variable in an app.yaml file:

app.yaml
runtime: java11
env_variables:
  JAVA_TOOL_OPTIONS: "-agentpath:/opt/cprof/profiler_java_agent.so=-logtostderr,-cprof_enable_heap_sampling=true"

Redeploy the application with the app.yaml file:

gcloud app deploy target/helloworld.jar \
  --appyaml app.yaml

It'll take a couple of minutes before Cloud Profiler can display the information. In Cloud Profiler console, you can find the Default service in the drop down:

Cloud Run

Add the Cloud Profiler Java agent to the container, and configure the agent in the startup command line.

Clone

# Clone the sample repository manually
git clone https://github.com/saturnism/jvm-helloworld-by-example
cd jvm-helloworld-by-example/helloworld-springboot-tomcat

Containerize with a Dockerfile

In the Dockerfile, download the Cloud Debugger and build it as part of the container image:

Dockerfile
FROM openjdk:11
​
# Create a directory for the Profiler. Add and unzip the agent in the directory.
RUN mkdir -p /opt/cprof && \
  wget -q -O- https://storage.googleapis.com/cloud-profiler/java/latest/profiler_java_agent.tar.gz \
  | tar xzv -C /opt/cprof
​
COPY target/helloworld.jar /app.jar
​
ENTRYPOINT ["java", "-jar", "/app.jar"]

Then build and push the container:

mvn package
​
PROJECT_ID=$(gcloud config get-value project)
docker build -t gcr.io/${PROJECT_ID}/helloworld .
docker push gcr.io/${PROJECT_ID}/helloworld

Containerize with Jib

Download the Cloud Debugger Java agent into src/main/jib directory so that Jib can include the agent files as part of the container image:

# Make a directory to store the Java agent
mkdir -p src/main/jib/opt/cprof
​
# Download and extract the Java agent to the directory
wget -qO- https://storage.googleapis.com/cloud-profiler/java/latest/profiler_java_agent.tar.gz | \
  tar xvz -C src/main/jib/opt/cprof

Create the container image with Jib:

PROJECT_ID=$(gcloud config get-value project)
mvn compile com.google.cloud.tools:jib-maven-plugin:2.4.0:build \
  -Dimage=gcr.io/${PROJECT_ID}/helloworld

Deploy

Deploy to Cloud Run with Debugger Enabled using the environmental variable:

gcloud run deploy helloworld \
  --region=us-central1 \
  --platform=managed \
  --allow-unauthenticated \
  --set-env-vars="JAVA_TOOL_OPTIONS=-agentpath:/opt/cprof/profiler_java_agent.so=-logtostderr,-cprof_enable_heap_sampling=true" \
  --image=gcr.io/${PROJECT_ID}/helloworld

In Cloud Profiler console, you can see the helloworld service in the drop down:

Kubernetes Engine

Add the Cloud Profiler Java agent to the container, and configure the agent in the startup command line.

Clone

# Clone the sample repository manually
git clone https://github.com/saturnism/jvm-helloworld-by-example
cd jvm-helloworld-by-example/helloworld-springboot-tomcat

Containerize with a Dockerfile

In the Dockerfile, download the Cloud Debugger and build it as part of the container image:

Dockerfile
FROM openjdk:11
​
# Create a directory for the Profiler. Add and unzip the agent in the directory.
RUN mkdir -p /opt/cprof && \
  wget -q -O- https://storage.googleapis.com/cloud-profiler/java/latest/profiler_java_agent.tar.gz \
  | tar xzv -C /opt/cprof
​
COPY target/helloworld.jar /app.jar
​
ENTRYPOINT ["java", "-jar", "/app.jar"]

Then build and push the container:

mvn package
​
PROJECT_ID=$(gcloud config get-value project)
docker build -t gcr.io/${PROJECT_ID}/helloworld .
docker push gcr.io/${PROJECT_ID}/helloworld

Containerize with Jib

Download the Cloud Debugger Java agent into src/main/jib directory so that Jib can include the agent files as part of the container image:

# Make a directory to store the Java agent
mkdir -p src/main/jib/opt/cprof
​
# Download and extract the Java agent to the directory
wget -qO- https://storage.googleapis.com/cloud-profiler/java/latest/profiler_java_agent.tar.gz | \
  tar xvz -C src/main/jib/opt/cprof

Create the container image with Jib:

PROJECT_ID=$(gcloud config get-value project)
mvn compile com.google.cloud.tools:jib-maven-plugin:2.4.0:build \
  -Dimage=gcr.io/${PROJECT_ID}/helloworld

Deploy

Deploy to Kubernetes Engine with Debugger Enabled using the environmental variable using a Deployment YAML:

# Make a directory to store Kubernetes YAMLs
mkdir k8s/

Create a Deployment YAML file and configure the environmental variable:

k8s/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: helloworld
  name: helloworld
spec:
  replicas: 1
  selector:
    matchLabels:
      app: helloworld
  template:
    metadata:
      labels:
        app: helloworld
    spec:
      containers:
      - image: gcr.io/YOUR_PROJECT_ID/helloworld
        name: helloworld
        env:
        - name: JAVA_TOOL_OPTIONS
          value: "-agentpath:/opt/cprof/profiler_java_agent.so=-logtostderr,-cprof_enable_heap_sampling=true,-cprof_service=helloworld-gke,-cprof_service_version=1.0"

Deploy the YAML file:

kubectl apply -f k8s/deployment.yaml

In Cloud Debugger console, you can see the helloworld-gke service in the drop down:

Compute Engine

Follow the Compute Engine Hello World! to deploy an application in Compute Engine.

SSH into the Compute Engine instance:

gcloud compute ssh helloworld

From the Compute Engine instance, download the Java agent:

sudo mkdir -p /opt/cprof
curl -s -o- https://storage.googleapis.com/cloud-profiler/java/latest/profiler_java_agent.tar.gz \
  | sudo tar xvz -C /opt/cprof

Run the Java application with the Cloud Debugger agent:

java -agentpath:/opt/cprof/profiler_java_agent.so=-logtostderr,-cprof_enable_heap_sampling=true,-cprof_service=helloworld-gce,-cprof_service_version=1.0 \
  -jar helloworld.jar

In Cloud Debugger console, you can see the helloworld-gce service in the drop down:

Non-Google Cloud Environment

You can attach the Cloud Debugger agent to any Java application even if it runs outside of the Google Cloud environment (whether it's in a container, or on your local laptop, or in another cloud). Authentication has to be done using Service Account key file rather than using the Machine Credentials.

This only works on a Linux x86 based system.

Clone

# Clone the sample repository manually
git clone https://github.com/saturnism/jvm-helloworld-by-example
cd jvm-helloworld-by-example/helloworld-springboot-tomcat

Build

mvn package

Download Agent

sudo mkdir -p /opt/cprof
curl -s -o- https://storage.googleapis.com/cloud-profiler/java/latest/profiler_java_agent.tar.gz \
  | sudo tar xvz -C /opt/cprof

Create a Service Account

PROJECT_ID=$(gcloud config get-value project)
gcloud iam service-accounts create helloworld-app

Add IAM Permission

PROJECT_ID=$(gcloud config get-value project)
gcloud projects add-iam-policy-binding ${PROJECT_ID} \
  --member serviceAccount:[email protected]${PROJECT_ID}.iam.gserviceaccount.com \
  --role roles/cloudprofiler.agent

Create a Service Account Key File

PROJECT_ID=$(gcloud config get-value project)
gcloud iam service-accounts keys create \
  $HOME/helloworld-app-sa.json \
  --iam-account [email protected]${PROJECT_ID}.iam.gserviceaccount.com

Use Service Account Cloud Debugger Agent

PROJECT_ID=$(gcloud config get-value project)
GOOGLE_APPLICATION_CREDENTAILS=$HOME/helloworld-app-sa.json
java -agentpath:/opt/cprof/profiler_java_agent.so=-logtostderr,-cprof_enable_heap_sampling=true,-cprof_service=helloworld-local,-cprof_service_version=1.0,-cprof_project_id=${PROJECT_ID} \
  -jar target/helloworld.jar
Previous
Metrics
Next
Debugging
Last updated 9 months ago
Edit on GitHub
Contents
Cloud Profiler
Enable API
CPU Time
Wall Time
Heap
Java Agent
Agent Files
Agent Configurations
Runtime Configuration