It's basically for troubleshooting when you are in performance engineering load tests. Then all the logs are monitored from stack home, and each and every component that's involved is on there.

We use the latest version of this solution for the storage of our logs. For example, we use Stackdriver to send our logs directly to GCP. We are able to pull metrics such as how many errors occurred, which service is giving the most amount of errors and which service is giving the least amount of errors. This solution is used by 50 people in our organisation. 

We use it for a very basic purpose. Whenever we have some workload that is running, we turn on the hook to configure the monitoring.

I use Google Stackdriver for support monitoring.

Our use cases of Stackdriver are for cloud monitoring, cloud logging, and APM.

We use Stackdriver for real-time log management analysis, it provides cloud log in a fully managed service for the GKE requirements. We also use it to collect messages, some events,  metadata and the like from cloud. I'm the director and function head of risk and technology change, and we are customers of Google. 

We have some projects on the Google Cloud Platform and we are looking into how we can use Stackdriver to monitor our workloads.