CSPs/DSPs 2018-03-19T12:15:42+00:00
Federos customer - CSP/DSP


Service- and Network-Aware Automation for Virtualized Environments

Service providers striving to support SLAs for real-time, always-on service delivery in virtual environments must automate if they are to achieve true intelligence in how they capture, normalize and analyze data from an increasingly complex universe of resources. They must have service- and network-aware management capabilities in order to recognize whether functions are performing as needed in virtual and hybrid environments.

CSP/DSP challenges


  • Troubleshooting and service assurance in complex, cross-domain service environments
  • Demands for unified, context-driven connectivity
  • SLAs that support real-time, always-on service delivery in virtual environments
  • Relating data across domains
  • Recognizing if functions are performing as expected in virtual and hybrid environments
  • Ability to dynamically expand and contract virtual networks based on SLA requirements
  • Silo’d management of manager point solutions and static tools that manage only individual parts of the network
  • Increasing security risk from continued use of legacy tools
CSP/DSP solutions for virtualized environments


  • Single, unified code set, database and presentation interface
  • End-to-end view of physical and virtual network functions
  • Combine fault, performance, service management and topology in a single, unified GUI
  • Modular and componentized product set
  • Next-gen discovery and polling
  • Access to open source to convert scalable components into microservices
  • Runbook automation (RBA) technology for dynamic workflow
  • Tool rationalization and consolidation
  • Abolishment of swivel chair management and complexity for operators
CSP/DSP benefits of virtualized environments


  • Knowledge-driven operational automated learning
  • Closed-loop automation to ensure service quality, detect threats and drive innovation
  • Ability to test and deploy new automation policies in real-time to eliminate mundane tasks
  • Automation of event driven processes
  • Simplification of service chain creation
  • Scale on demand
  • Constant improvement, optimization and remediation of security, performance and fault management
  • Expedite move to virtual and hybrid networks and closed loop automation
  • Accelerate evolution towards machine learning in Elastic Stack

Learn how Federos is the ideal partner for CSPs/DSPs

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