Earlier sections have discussed many of the key details of Cloud Run. So far, we have provisioned a cluster on GKE, deployed our application and utilized Cloud Build to make us more productive. At this point, we should probably also cover what to do when things go wrong.
Google Cloud provides a lot of environmental information, especially for compute-based resources such as GCE and GKE. For serverless workloads, fortunately, we can also take advantage of many of these key data points:
- To start, let's continue with our hello-node application and introduce an error into the code. Access the source code for index.js and save the following erroneous entry to the code:
const express = require('express')const ...
