Profiling
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.
gcloud services enable cloudprofiler.googleapis.com
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.
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.
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.
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.
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 |
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-*
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 ...
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.
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 ...
App Engine
Cloud Run
Kubernetes Engine
Compute Engine
Non-Google Cloud Environment
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:
Add the Cloud Profiler Java agent to the container, and configure the agent in the startup command line.
# Clone the sample repository manually
git clone https://github.com/saturnism/jvm-helloworld-by-example
cd jvm-helloworld-by-example/helloworld-springboot-tomcat
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/${PROJECT_ID}/helloworld
Download the Cloud Debugger Java agent into
src/main/jib directory so that Jib can include the agent files as part of the container image:# Make a directory to store the Java agent
mkdir -p src/main/jib/opt/cprof
# Download and extract the Java agent to the directory
wget -qO- https://storage.googleapis.com/cloud-profiler/java/latest/profiler_java_agent.tar.gz | \
tar xvz -C src/main/jib/opt/cprof
Create the container image with Jib:
PROJECT_ID=$(gcloud config get-value project)
mvn compile com.google.cloud.tools:jib-maven-plugin:2.4.0:build \
-Dimage=gcr.io/${PROJECT_ID}/helloworld
Deploy to Cloud Run with Debugger Enabled using the environmental variable:
gcloud run deploy helloworld \
--region=us-central1 \
--platform=managed \
--allow-unauthenticated \
--set-env-vars="JAVA_TOOL_OPTIONS=-agentpath:/opt/cprof/profiler_java_agent.so=-logtostderr,-cprof_enable_heap_sampling=true" \
--image=gcr.io/${PROJECT_ID}/helloworld
In Cloud Profiler console, you can see the
helloworld service in the drop down:
Add the Cloud Profiler Java agent to the container, and configure the agent in the startup command line.
# Clone the sample repository manually
git clone https://github.com/saturnism/jvm-helloworld-by-example
cd jvm-helloworld-by-example/helloworld-springboot-tomcat
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/${PROJECT_ID}/helloworld
Download the Cloud Debugger Java agent into
src/main/jib directory so that Jib can include the agent files as part of the container image:# Make a directory to store the Java agent
mkdir -p src/main/jib/opt/cprof
# Download and extract the Java agent to the directory
wget -qO- https://storage.googleapis.com/cloud-profiler/java/latest/profiler_java_agent.tar.gz | \
tar xvz -C src/main/jib/opt/cprof
Create the container image with Jib:
PROJECT_ID=$(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 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:
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:
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 the sample repository manually
git clone https://github.com/saturnism/jvm-helloworld-by-example
cd jvm-helloworld-by-example/helloworld-springboot-tomcat
mvn package
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
PROJECT_ID=$(gcloud config get-value project)
gcloud iam service-accounts create helloworld-app
PROJECT_ID=$(gcloud config get-value project)
gcloud projects add-iam-policy-binding ${PROJECT_ID} \
--member serviceAccount:helloworld-app@${PROJECT_ID}.iam.gserviceaccount.com \
--role roles/cloudprofiler.agent
PROJECT_ID=$(gcloud config get-value project)
gcloud iam service-accounts keys create \
$HOME/helloworld-app-sa.json \
--iam-account helloworld-app@${PROJECT_ID}.iam.gserviceaccount.com
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
Last modified 2yr ago