Performance Tuning Go Applications on GCP (Cloud Next '19)

Kelvion New Plate Heat Exchanger


I want to optimize the performance of my cloud components, to save money and above all to improve responsiveness. Nobody enjoys slow software. My strategy is to consider the whole picture, to measure, and to focus on the bottlenecks. I will tell the story of a cool app — written in Go using App Engine and GKE — which has latency problems. Let’s explore how to diagnose them with the tooling: benchmarks, pprof, CPU trace, flame graphs, OpenCensus, heatmaps, and StackDriver waterfalls. Once I am able to visualize the latencies, it becomes much easier to incrementally make my app faster.

Building an App with Go → https://bit.ly/2TYaz6C

Watch more:
Next ’19 Application Development Sessions here → https://bit.ly/Next19AppDev
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions

Subscribe to the GCP Channel → https://bit.ly/GCloudPlatform

Speaker(s): Valentin Deleplace

Session ID: DEV309
product:App Engine,Kubernetes Engine; fullname:Valentin Deleplace;


Duration: 50:27
Publisher: Google Cloud
You can watch this video also at the source.