Are you interested in migrating legacy applications to the cloud with minimum costs and human capital?
Are you interested in the unified monitoring of multicloud applications using Natural Language Processing?
Are you interested in automatically creating secure networks among multiple hyperclouds and your on-prem data centers?
Are you interested in getting rid of Teraform and using an automatic, simple, AI-based methodology to onboard and deploy applications on any hypercloud? Once a workload has been deployed on one Cloud, Cloud of Clouds will automatically deploy the workload to any other cloud without human intervention.
Are you interested in multicloud-ing an existing workload running only on a given cloud?
Are you interested in optimizing and automating the execution of a workload on multiple clouds? Cloud of Clouds uses a revolutionary methodology to optimize for any number of measurable and logical metrics using a mathematical engine built on vectorial constraints, demands, and objectives. This optimization is dynamic, continuous, and automated with deep learning.
Are you interested in expanding to new clouds with zero admin efforts?
Are you interested in building a multicloud fault-tolerant or redundant configuration customized for your needs?
Are you interested in working with hyperclouds and on-prem clouds (Kubernetes, Docker, OpenStack, etc) without needing to be experts in their APIs or learning new APIs?
Are you interested in creating multicloud open architectures with thousands of edge microclouds and hyperclouds?
Are you interested in saving 40%-50% of your monthly Cloud and multicloud bill for cloud services and AI processing?
If the answer is yes, Cloud of Clouds is the revolution that cloud computing has needed since its beginnings.
If you are interested in other features, please let us know, and we will do our best to implement them. We are looking for partners and customers wanting to work with us to build the next generation of multicloud computing.
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Connect simultaneously to all their public clouds and on-prem clouds and have a wholistic monitoring view of all their software and hardware assets as permitted by each Cloud (AWS, Google, Azure, Docker, Kubernetes, etc);
Monitor the status of their infrastructure across a unified view of all clouds they are connected to;
Use Natural Processing Language as the main user interface. Expand it to any open source LLM
Search for specific assets and retrieve their attributes;
Establish inter-clouds network connectivity with specified security attributes;
Establish security conduits at the network and application level;
Deploy a virtualized and/or containerized distributed application across multiple clouds based on customized demands and goals: performance, cost, affinity, security restrictions, etc.;
Simulate the deployment of an application across multiple clouds and examine the results ("see it before doing it");
Optimize the application at runtime based on the application's dynamic behavior and parallel optimization goals;
Control using automation loops of the multicloud applications to guarantee their execution as customized lifecycle parameters require.
Use Deep Learning to build your own specific self learning automation templates
Cloud of Clouds is a software system with open architecture, designed as a multidimensional distributed control space that can be used:
- to represent all the objects in heterogeneous multiclouds (execution units, data, and connectivity) in a universal knowledge base/model,
- to deploy, monitor, control, automate, and optimize the infrastructure and workloads during the entire lifecycle by using a generalized mathematical model for processing constraints, demands, and objectives.