CloudScale

Analysis of effective use of Microsoft Azure and Amazon WS cloud resources

Type of system

Backend application

Industry

Technology

Lead time

8 months

Project scope

Concept development
Research work
AI module implementation

Project challenges

The project challenge consisted in prediction of using cloud infrastructure components (discs, processors, RAM, etc.). We took into account historical data, aggregated in Gnocchi - the specialist database for time series.

Technological solutions

We prepared a technological solution in the form of a predicted model. For this purpose, we used an artificial neuron network written in Python (based on TensorFlow and Flask).

Python

TensorFlow

Flask

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Type of system

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Lead time

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Project scope

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