CloudBackend provides a world-wide service for accelerating applications and harvesting data through a distributed cloud with intelligent data management. The platform is designed for smart vehicles, telecom infrastructure, public clouds, on-premise, smart devices in homes and offices, and in between. It is a service for use-cases where high security, speed, reliability, quality, and decentralized processing of data matters.
Distributed data management and orchestration of compute and data across clouds, edge infrastructures, and on-premise is key to enable a distributed world where everything is connected. CloudBackend provides the service that makes this possible; powering AI, big data analytics, and programs running within containers at the edge. This unleashes the true potential of the edge for connected vehicles, digital twins, smart buildings, Industry 4.0, SaaS, apps and more.
CloudBackend make edge cloud computing work throughout the world by enabling seamless data and application roaming across edge and cloud infrastructures – providing developers the illusion of one cloud. It abstracts underlying differences and acts as one single pane of glass, regardless of how many edge nodes are used in reality. This lowers the barriers for edge cloud adoption and makes it possible for any company to leverage edge acceleration – even when products can be used anywhere in the world or move from country to country like the case is with vehicles.
The cloud will lose its appeal as serverless and edge become mainstream. By leveraging existing edge cloud infrastructures, public clouds, and harvesting unused capacity from vehicles, home appliances, mobile base stations, and smartphones, unparalleled capacity can be unleashed. Edge Native becomes the new default when building for the edge becomes easier than building Cloud Native. Low latency, a fast user experience, and world-wide coverage will be taken for granted.
CloudBackend has the technology to standardize the cloud into a distributed multi-tenant no-code infrastructure. Edge Cloud Computing and next generation Serverless Computing uniquely combined completely removes the need to orchestrate as you no longer are running any custom code at the edge. It is time for data in the cloud to become industrialized with common API’s just like SQL standardized access to relational databases.
The platform is capable of deploying, managing, and scaling servers as well as handle everything from central coordination of data, issuing of identities, and the decentralization of the cloud into edge cloud computing using policies. Completely abstracting the underlying infrastructure and orchestration from developers, which work with the entire Edge Platform as a Service through an intelligent SDK with a programming model of one cloud.
Automotive and hardware companies, as well as mobile network operators will become empowered by CloudBackend’s edge service as they will gain access to new revenue streams. Unused processing and data capacity of subscribers or the network can become part of, and used by, the CloudBackend distributed cloud. This is opens up multi-sided business models, where revenue can be made on services distributed and consumed within the network or hardware – while also allowing them to innovate their products and services with benefits of the edge.
CloudBackend handles the orchestration, data availability, and API access at multiple levels end-to-end, from the consumer all the way up to the centralized cloud including everything in between and along the way. The platform slices data to make sure that not all data is replicated across the edge, allow policies and geo-fencing to decide how information is distributed, and allow developer and business decisions to govern the intelligent management of data.
Edge Cloud Computing provides a more resilient, secure and privacy respecting cloud for everyone – including catering for adherence to local data protection laws. Geo-fencing policies enables regional boundaries for data, making sure that data is managed with compliance and confidence. Distributing, slicing, and replicating data is by its design more secure and fault tolerant than centralizing it into a single point of failure.