Title
Operate First Data Science Community Meetup 16 - CCO: a next generation cost optimizer for complex cloud workloads
Short Description
We will present CCO - a novel optimization engine for minimizing cloud (AWS, Azure, etc.) costs for complex workloads (i.e., with up to hundreds/thousands of applications and/or components).
The goal of CCO is to calculate the best possible assignment of tasks or application components to cloud instances such that the total monetary cost is minimized or at the very least does not exceed a predefined budget. To that end, the engine periodically collects up-to-date resource prices and statistics, then utilizes advanced algorithmic approaches and machine learning to solve the optimization problem. This project is done jointly with the Technion, Israel Institute of Technology, as a part of a broader partnership.
Title Operate First Data Science Community Meetup 16 - CCO: a next generation cost optimizer for complex cloud workloads
Short Description We will present CCO - a novel optimization engine for minimizing cloud (AWS, Azure, etc.) costs for complex workloads (i.e., with up to hundreds/thousands of applications and/or components). The goal of CCO is to calculate the best possible assignment of tasks or application components to cloud instances such that the total monetary cost is minimized or at the very least does not exceed a predefined budget. To that end, the engine periodically collects up-to-date resource prices and statistics, then utilizes advanced algorithmic approaches and machine learning to solve the optimization problem. This project is done jointly with the Technion, Israel Institute of Technology, as a part of a broader partnership.
Presentation Day July 12th, 2022
Presenter(s) @ilya-kolchinsky and @AdiY10
Repository - https://github.com/aicoe-aiops/cloud-price-analysis-public/tree/master/src/CloudCostOptimizer%20(CCO)
Actionable Items (Following actions would be carried out by the Organizers of the Operate First Data Science Community Meetup)