This generic service configuration and management framework allows operators to model and manage services end to end across any network and infrastructure deployment. The solution is ideal for a vast number of applications, including occasional use services over fiber, over satellite or in a hybrid setup, MPLS services, SDH fiber services, satellite services, etc.
This module serves as the central intelligence assuring that not only all current services can rely on the required number of resources, but also all planned service changes and new service launches. DataMiner monitors and tracks all resources in terms of availability, so that operators can be sure that the resources they select during the booking process will also be available when the service starts.
DataMiner Virtual Functions serve as an abstract layer, reducing all network hardware and software to their elementary functions and uses, regardless of the underlying technology. Virtual Functions make it possible to dynamically reassign network elements to a particular function, even while a service is running, as is often the case in virtualized and containerized deployments.
With DataMiner Profiles, service instantiation is simplified and service life cycle workflows can be made independent of the underlying infrastructure. Profiles are fully user-definable. They can be linked to particular Virtual Functions and configured with the capacity requirements from the contributing resources and the service KPIs that are to be monitored.
This fully dynamic framework manages both connectivity between physical network elements and logical connectivity between Virtual Functions. The connectivity model, which effectively contains the orchestrated flow through the network of each individual service, is automatically created and updated by DataMiner SRM as part of service life cycle management.
Without any restrictions, element control, service orchestration and just about any operational workflow can be fully automated in DataMiner. A comprehensive graphical editor, complemented with an advanced scripting engine for complex automation, gives full freedom to operators to create and fine-tune workflows at runtime, at any time.
DataMiner Scheduler enables the scheduling of both simple and extremely complex sessions and events. It allows operations teams to reduce reliance on manual work to execute tasks, as it can not only be used to manage service life cycles, but also to trigger overnight planned maintenance workflows, active service verification, testing during quiet times, etc.
Model, deploy and manage complex services end to end with the DataMiner Service & Resource Manager
fully flexible service definitions and instances
powerful automated orchestration of all service life cycle transitions
support for physical, virtual, cloud and hybrid resource pools
custom-configured profile definitions
reduced risk of errors with integrated configuration validation
connectivity model keeps track of actual path (redundancy)
built-in service scheduler or interface to external ERP
virtual platform support enabling operations by multiple teams including VNO operations
powerful function virtualization
SLA management (optional)
planned maintenance support (optional)
M2M job (work order) ingest (optional)
accelerated service design, delivery and assurance
increases service uptime and SLA levels
simplified, consistent and predictable operation of all service life cycle processes
increased “first-rate from first time” performance
decreased OPEX as a result of far-reaching automation
highly efficient utilization of infrastructure (capex – opex savings)
freedom to select technology: engineering and operational workflows independent of underlying hardware and software
superior ROI with improved visibility on service and resource utilization