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:
Upon completion of this lab you will be able to:
You should possess:
August 30th, 2023 - Updated the instructions and screenshots to reflect the latest UI
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.