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Magalix

The autopilot of the cloud infrastructure
Magalix is the autopilot of cloud infrastructure. We use advanced AI algorithms to understand business needs and adapt applications and infrastructure resource usage accordingly.
Platforms: Web
Languages: English
Magalix is the autopilot of cloud infrastructure. We use advanced AI algorithms to understand business needs and adapt applications and infrastructure resource usage accordingly. Our service reduces overspending and infrastructure complexities using Machine Learning.

Magalix co-founders are Microsoft and AWS veterans. We have years of experience in cloud infrastructure and business development.

Mohamed got his PhD in High Performance Computing. He has several publications and patents in performance engineering and operating systems. He has led infrastructure teams building distributed systems on top of AWS and Microsoft Azure infrastructures. During his tenure at Microsoft and AWS, Mohamed shipped several products. He also received an Entrepreneurship and Innovation Certificate from Stanford university.

Omar is a serial entrepreneur who has founded two startups in IT infrastructure and marketing. He led several Azure sales teams and drove growth in IaaS and PaaS areas.
We use AI algorithms to understand business needs and collect application performance data. We stand out because our machine learning models apply this knowledge to resource provisioning. Magalix uses machine learning models to adapt infrastructure based on actual use. This reduces over-provisioning and improves outcomes for companies using containerized applications.

Think of it like the autopilot feature in commercial flights. Sure, pilots are capable of flying the plane end to end, but they use the autopilot for long flights. Using autopilot is more efficient and less demanding for pilots. In a similar way, using Magalix to manage cloud infrastructure reduces strain on applications and engineers.

Developers love the ease of use and them not worrying about managing infrastructure and executives love the cost saving and increase in team productivity.

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