With Telecoms customers’ expectations and usage continuously growing, it not only puts pressure onto the networks trying to support this but also makes it incredibly difficult to continue the manual management of these networks too. Fortunately, this is where automation steps in and it’s transforming how Telecom service providers monitor, manage and scale their infrastructure.
1. Automated Fault Detection
Traditionally, network issues were only identified and addressed manually by Telcos’s (Telecom’s service providers) and often only after customers had experienced service disruptions. This type of model led to service downtime, reduced customers satisfaction and high operational costs. Automation changes this but enabling real-time fault detection by making the following possible:
- Continuous analysis of network traffic and performance.
- Early detection of anomalies and degradation.
- Triggers to automatically reroute network traffic or restart services.
- Alerting technicians before users are impacted.
To put it simply, automation makes it possible to shift the management of networks from a preventative approach to a proactive one.
2. Scaled Performance Optimisation
With thousands of devices relying on telecoms networks, maintaining optimal performance of these networks becomes a continuous challenge.
A way that automation assists with this challenge is by employing machine learning algorithms that work to continuously optimise network parameters. Some examples of this are:
- Automated load balancing that distributes traffic more effectively.
- Automated allocation of bandwidth based on real-time demand.
These algorithms adapt in real-time and improve the end-users’ experience.
3. Self-Healing Networks
Self-healing networks are those that can identify, isolate and resolve issues automatically.
An example of this is when hardware failure occurs in one section of the network. Automation tools can assist by:
- Automatically rerouting traffic to avoid service downtime.
- Sending diagnostic data to the appropriate team members.
- Initiating remote diagnostics or rebooting the affected device / system.
4. Predictive Maintenance and Asset Management
Through the collection and analysis of necessary network data, automation platforms have the ability to predict potential component failures. Based on these predications, Telco’s will be able to:
- Schedule maintenance before the actual failures occur.
- Proactively replace deteriorating hardware.
This can result in a reduction of operational costs and less service interruptions.
By embracing automation when it comes to fault detection, performance optimisation and maintenance, Telco’s can provide their customers with a service that is more reliable, cost effective and agile.
