video1.0<iframe src="https://www.loom.com/embed/72fb3eaa0ce64e309e40c7b7bcef15ed" frameborder="0" width="1418" height="1063" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10631418Loomhttps://www.loom.com10631418https://cdn.loom.com/sessions/thumbnails/72fb3eaa0ce64e309e40c7b7bcef15ed-366717ef562a3214.gif248.501In this video, I demonstrate how to use our Simulacrum platform for forecasting latency spikes in cloud services, using real data from a reliability monitoring company in New York. I walk you through the process of installing the Simulacrum SDK, generating an API key, and utilizing 85% of the dataset as historical data to predict the remaining 15%. By defining a forecast horizon and using our foundation model, I show how quickly we can generate accurate forecasts. The results, which I plot for you, indicate a strong correlation between the original and forecasted data. I encourage you to follow along and try this process with your own datasets.