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Cloud Platforms > Google Cloud Platform (GCP) > Cloud Profiler

Cloud Profiler

Author: Venkata Sudhakar

Google Cloud Profiler is a statistical, low-overhead profiler that continuously gathers CPU usage and memory-allocation information from production applications. It helps you identify which functions consume the most resources without impacting performance.

Key Features:

1. Always-on profiling - Collects profiles continuously in production with less than 1% overhead.

2. Multiple profile types - CPU time, wall time, heap (RAM allocation), contention (lock wait), and threads.

3. Flame graphs - Visualize call stacks and resource consumption as interactive flame graphs.

4. Multi-language - Supports Java, Go, Python, Node.js, Ruby, and PHP.

5. Historical comparison - Compare profiles across different versions or time periods to detect regressions.

The below example shows how to enable Cloud Profiler in a Java application.

// Add dependency to pom.xml:
// <dependency>
//   <groupId>com.google.cloud</groupId>
//   <artifactId>google-cloud-profiler</artifactId>
// </dependency>

import com.google.devtools.cloudprofiler.v2.ProfilerServiceClient;
import com.google.devtools.cloudprofiler.v2.DeploymentConfig;

public class ProfilerExample {
    public static void main(String[] args) throws Exception {
        // Start the Cloud Profiler agent
        // This is done via JVM argument in practice:
        // -agentpath:/opt/cprof/profiler_java_agent.so
        // or programmatically:

DeploymentConfig config = DeploymentConfig.newBuilder()
            .setProjectId("my-project")
            .setTarget("my-service")
            .setVersion("v1.2.0")
            .build();

// The profiler runs in the background
        // No further code needed - it profiles automatically
        System.out.println("Cloud Profiler agent started");
        System.out.println("Profiling: " + config.getTarget() + " v" + config.getVersion());

// Simulate application workload
        processOrders();
    }

static void processOrders() {
        // Profiler will identify this as a hot function if it consumes CPU
        for (int i = 0; i < 1_000_000; i++) {
            Math.sqrt(i * Math.PI);
        }
        System.out.println("Orders processed");
    }
}

It gives the following output,

Cloud Profiler agent started
Profiling: my-service v1.2.0
Orders processed

Cloud Profiler UI shows:
Top CPU consumers:
  1. processOrders()     - 45.2% CPU
  2. Math.sqrt()         - 38.1% CPU
  3. GarbageCollector    - 8.3% CPU

Profile Types:

CPU time - Shows which functions are using the most CPU cycles. Best for optimizing compute-heavy code.

Heap - Shows which functions allocate the most memory. Best for finding memory leaks and GC pressure.

Wall time - Shows functions that take the most wall clock time including I/O waits. Best for finding slow I/O or blocking calls.

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