> Our dataset consisted of Kubernetes pod metrics collected from a production retail checkout application.
That sums it up and it’s no surprise why Datadog’s toto model performed exceptionally well.
The results would have been much more useful had they opted for a heterogenous mix of data sets. I am thinking of census data and statistics, or financial forecasting (GDP, interest rates), or clinical trial drop-out rates etc. So many interesting problems out there.
That sums it up and it’s no surprise why Datadog’s toto model performed exceptionally well.
The results would have been much more useful had they opted for a heterogenous mix of data sets. I am thinking of census data and statistics, or financial forecasting (GDP, interest rates), or clinical trial drop-out rates etc. So many interesting problems out there.