Use Cases 

"Lift and Shift" migration of "legacy" workloads to Cloud

•Data Center to Cloud (Private or Public)

•Cloud to Cloud 

•Cloud to Multicloud

Unified Multicloud monitoring 

•Knowledge base built on top of the Knowledge Graph (KG) theoretical model

•Natural Language Processing (NLP) search across all Apps and Infrastructure (KG)

•Interfacing with 3rd party monitoring systems and consolidation of multiple 3rd party monitoring system

Multicloud-ing existing single cloud applications

•Applications built with VMs/containers on one specific Cloud can automatically be distributed on components running on multiple clouds

•The resulting multicloud application is continuously optimized, and virtual machines and containers are automatically redistributed based on multiple specified optimization goals

Build "new" cloud applications

•Simpler, cloud-provider independent applications

•Open architecture with third-party applications allows the easy integration of new services

•Automation and optimization of multicloud operation come by default with the build-up of the cloud application

• Moving the application to another cloud connected to the Cloud of Clouds is natural and is done with minimal cost and effort. 

• If the customer wants to "multicloud" the application Cloud of Clouds will do this operation automatically based on specified goals.

Optimization of brown-field cloud/multicloud apps:

 TCO, performance, security, temporary cost, ...

• Customer already has a multicloud application but is unhappy with cost, performance, security, etc. Cloud of Clouds can be used to focus exclusively on optimization and automation of the operations.

Zero-admin expansion to new clouds

• Customer wants to expand his application to other cloud technology. If the Cloud is already part of the multicloud, the expansion will automatically be done with existing or newly specified goals. If the expansion cloud is not a component of the existing multicloud, Cloud of Clouds will use its APIs to interface with it. This operation can be executed using low-code products and technologies.

Tool to implement fault tolerance and redundancy – entire workloads or partially 

• If the customer is interested in deploying an application with redundancy at the compute and connectivity level, Cloud of Clouds can automatically generate the correct deployment by specifying the demands and objectives for the multidimensional optimizer. The optimizer will analyze the available infrastructure and generate the correct deployment. Once this operation is executed, the optimizer will monitor the system to ensure the redundancy conditions are met during the application lifecycle and make necessary adjustments. 

Users Profiles

• Users that want complete control over their data. Cloud of Clouds is a control space and does not intercept your data.

• Users that are cloud-agnostic. Cloud of Clouds is the primary interface, so users do not need to know the specific APIs and services of the various underlying clouds.

• Users already have a runtime system. Cloud of Clouds leverages existing runtimes: Kubernetes, Docker, Openstack, and public hyperclouds.

• Users that ease of deployment and monitoring. Cloud of Clouds has a universal runtime and dynamically reconfigurable optimizer, which takes as input complex, heterogeneous constraints and objectives and computes an optimal cloud deployable configuration based on a set of specific reconfigurable goals. It will also add the support of a new proprietary cloud infrastructure on behalf of the user.

Prerequisites for using Mosaixsoft Cloud of Clouds: 

• Applications need to be virtualized or containerized.

• Customers can pick a preferred monitoring system, which will be interfaced with Cloud of Clouds if it is not already.

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 

- to monitor;

- to control and automate;

- to optimize the infrastructure and workloads during the entire lifecycle by using a generalized mathematical model for processing constraints, demands, and objectives.

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