How Mercari reduced request latency by 15% with Cloud Profiler
Japanese online retailer Mercari shows how they used Cloud Profiler and
Cloud Trace to understand a complex microservices-based application running
on Google Cloud so they could meet rigorous SLOs. November 2020
Using APM Deep Insights to Quickly Dive Into a Problem
This video introduces the Application Performance Management tools and covers how
Profiler can give you insight into
your application's performance. Cloud Next '19
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-28 UTC."],[],[],null,["# Media: articles and videos\n==========================\n\nThis page provides links to articles and videos related to Cloud Profiler.\n\nArticles\n--------\n\n[Cloud Profiler provides app performance insights, without the overhead](https://cloud.google.com/blog/products/management-tools/in-tests-cloud-profiler-adds-negligible-overhead) \n\nThis article looks at elements of Profiler's architecture that\nlets it collect and aggregate production performance data while placing a\nnegligible penalty on your application. \n\n*January 2021*\n\n[How Mercari reduced request latency by 15% with Cloud Profiler](https://cloud.google.com/blog/products/management-tools/mercari-uses-cloud-profiler-to-reduce-service-latency) \n\nJapanese online retailer Mercari shows how they used Cloud Profiler and\nCloud Trace to understand a complex microservices-based application running\non Google Cloud so they could meet rigorous SLOs. \n\n*November 2020*\n\n[Understand production performance with Cloud Profiler history view](https://cloud.google.com/blog/products/management-tools/cloud-profiler-gets-history-view-feature) \n\nThis article introduces the history view which lets you view the performance\nof a single function or a group of functions over time. \n\n*September 2020*\n\n[See how your code actually executes with Cloud Profiler, now GA](https://cloud.google.com/blog/products/management-tools/see-how-your-code-actually-executes-with-stackdriver-profiler-now-ga) \n\nThis article describes how you can use Profiler\nin your production environment and highlights customer success stories. \n\n*June 2019*\n\n[Cloud Profiler adds more languages and new analysis features](https://cloud.google.com/blog/products/management-tools/stackdriver-profiler-adds-more-languages-and-new-analysis-features) \n\nThis article illustrates how you can use Profiler\nto analyze worst-case performance, identify high impact functions, and view\nyour application's details. \n\n*February 2019*\n\nVideos\n------\n\n[Using APM Deep Insights to Quickly Dive Into a Problem](https://www.youtube.com/watch?v=f3apWCz2slQ) \n\nThis video introduces the Application Performance Management tools and covers how\nProfiler can give you insight into\nyour application's performance. \n\n*Cloud Next '19*"]]
