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Create a private Docker registry on a fresh Kubernetes Cluster
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Create a private Docker registry on a fresh Kubernetes Cluster
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Forecasting timeseries with the Metered Prophet API
Forecasting timeseries
Forecasting timeseries is a common problem in data science/machine learning. It asks, given a set of observations of the past, what the future will look like.
Some real world applications of timeseries forecasting include:
Sales/demand forecasting: Say you're an ice cream chain. You might expect that sales will be much higher in the summer and lower in the winter, but trend higher year-over-year overall because you're investing in advertising. The sales forecasts would be useful for things like setting quota for your salespeople, financial disclosure/valuation, and inventory planning.
Capacity planning: In a software context, capacity planning refers to ensuring enough compute resources to serve expected traffic. More broadly, capacity planning asks, how many servers, employees, meals, parking spaces, etc
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