Edge Cloud


Edge Cloud computing is a decentralized computing infrastructure in which computing resources and application services can be distributed along the communication path from the data source to the cloud. That is, computational needs can be satisfied “at the edge,” where the data is collected, or where the user performs certain actions.

Moving distributed workload and applications across core, edge and micro cloudsenables enterprises and service providers to optimize their cost, network quality, and improve customer experience.


The networking that is required to connect and set up these Clouds and move workloads and services across in an intelligent manner to optimize the service experience is becoming very complex and dynamic. Manual programming and relying on traditional tools is simply not possible due to the complexity and dynamic nature of Edge Cloud Networking. A new set of tools is required that fully automates the entire lifecycle of these Edge Cloud Networks.


COMPLEXITY AND NETWORKING: Network Services can now run on a variety of Clouds in different locations, not just a central location with a mapped architecture and a known capacity. Understanding these connections and dependencies in real-time is essential for the life of the service.

OPERATIONAL COST: Connectivity, data migration, bandwidth and latency features of cloud computing are expensive. Traditional tools based on pre-built and static workflow models are not sufficient to cope with the changes and dynamic environment. Managing different layers of connectivity in an ever-changing environment means that lifecycle management needs to be fully automated.

DYNAMICS:  The shape of each network service can change. Capacity, changing customer patterns, time, failures, shared resources and services, and other environmental factors can all effect workload. This requires tools that can dynamically connect and manage an optimised service chain.

StratOSS™ offers a set of software automation tools which orchestrate the cloud network service layers, to deliver an optimal service. Our Intent Engine dynamically establishes and manages all connectivity requirements without the need for manual programming. When changes occur, for example, due to new edge locations or workload placements, StratOSS™ automatically calculates and executes the best path to implement the required network changes from the current state to the intended state.

This allows the network to be dynamic and to automate itself with no highly skilled human intervention. Behaviour Driven Testing tools combined with the CI/CD capabilities ensure that cloud network services can be rapidly designed and automatically tested. This further reduces manual effort and significantly lowers the amount of errors of services in production

 IT and networking layers must be co-ordinated but managed separately.

  • Enterprise Edge Cloud IT and Networking workloads must co-operate across independent layers and connected locations to deliver an end to end service
  • Each layer is designed and managed independently of the others delivering a service to the layer above


  • Reduced complexity
  • Operational automation
  • Reduced operational errors
  • Reduced cost of operations