hands-on lab

Find Application Performance Bottlenecks With Google Cloud Trace

Up to 40m
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In this lab, you will be instrumenting a Java Spring Application that you will create in a Compute Engine IDE. The application has a couple of APIs. One contains a long-running operation creating a performance bottleneck. There are a few Google Cloud Services that can help you to monitor the application performance. This lab is the first in a series of two and focuses on Cloud Trace.

Application performance should be regularly optimized to minimize latency issues. Users often find it difficult to monitor the performance or latency issues. Google Cloud provides a suite of tools to help you overcome application performance management issues. These tools provide insights on how your code performs and allows you to take defensive actions to fix any problems. You will investigate the following tools in the context of the sample Java application to understand how they work first-hand in a series of labs:

  • Cloud Trace helps you analyze the latency of applications. It shows a summarised view of the APIs and the time taken to execute in near real-time.
  • Cloud Profiler helps you analyze performance issues, CPU utilization, and memory usage. It helps your application to perform better by optimizing intensive function calls and code.
  • Cloud Debugger (now deprecated) helps you debug your production code by loading the production code in Google Cloud. As a developer, there are certain times when you notice issues in production. To debug the issues without taking the application offline or disturbing the user latency, you can use Cloud Debugger.

Learning Objectives

Upon completion of this lab you will be able to:

  • Instrument Java application code to emit traces to Cloud Trace
  • Find latency issues of any application

Intended Audience

  • Software developers
  • QA engineers
  • Anyone interested in debugging
  • Monitoring teams


You should possess:

  • A basic understanding of Java
  • A basic understanding of the Spring Boot framework is helpful but not required


August 30th, 2023 - Updated the instructions and screenshots to reflect the latest UI

Environment before

Environment after

About the author

Logan Rakai, opens in a new tab
Lead Content Developer - Labs
Learning paths

Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Security Specialist (CKS), Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.

LinkedIn, Twitter, GitHub

Covered topics

Lab steps

Signing In to the Google Cloud Console
Connecting to the Compute Engine IDE
Configuring the Application and Adding the Dependencies
Triggering the APIs and Finding the Cloud Traces in the Console