The vision of zero-touch operations is something many in the telco industry want to see come to fruition. By automating processes in the network, services providers can reduce operational costs and improve service quality across the board.
While the concept of automation is nothing new, each time service providers have attempted to achieve it in the past, the results have fallen short of their goals.
However, with NFV continuing its advancement, and OTT players taking away a bigger chunk of the pie from service providers, there is renewed interest and investment in this area.
As more service providers begin to integrate virtualization into their network, the need to automate service delivery and assurance becomes necessary. The ability to create a new service, add an endpoint to an existing service, or increase the bandwidth of a service rapidly has never been more important than it is today.
The goal of NFV is to enable this by transforming network functions into software and decoupling them from proprietary hardware. This has allowed service providers to maximize network efficiencies by using cloud technologies to shape and move those functions around as needed. If human intervention is needed to make this happen, it will be nearly impossible to scale and the benefits of NFV are seemingly lost.
How can automation be achieved? By utilizing big data analytics to inform the network of the next steps to take.
In the world of service assurance, network analytics can be used to enable both closed-loop and open-loop systems. In an open-loop system, network analytics are used by operations teams to help identify the cause of alarms and determine the corrective steps to take.
But as networks evolve, and new challenges emerge, service providers need to take a proactive approach to their operations. With a closed-loop system, operations teams can avoid the cycle of filing a ticket, examining the issue, correcting it, and verifying that it’s been resolved.
If service providers are to improve network management they must implement a closed-loop control system where the feedback mechanism is service assurance data. Supported by an analytics engine that constantly correlates data and assesses the state of the network against a standard, networks can become self-learning and can take corrective action without human touch.
This is where CENX fits into the closed-loop system. Our solution continuously collects both the discovery data, providing a real-time view of topology, and the real-time performance data of the network. As a result of doing all of this, operations teams can understand the state of a service, and if an issue occurs, a closed-loop action will automatically be triggered which the orchestration system corrects.
Not only does CENX make open-loop system more efficient (raising a ticket, outlining the specific actions the person needs to take, and providing the pertinent information they need in a single pane of glass), but we also enable that transition to closed-loop.
With the help of CENX, you can make sure your next automation project is success.