Performance management continues to play a significant role for communication service providers (CSPs). It’s the tools that analyze and detect performance issues that might clog a network, such as application performance management (APM), network performance management (NPM), and unified performance management (UPM). The intention behind performance management is to troubleshoot issues before they affect the end user. To do that, IT professionals require full visibility into their network and applications operations, and these tools provide that insight.
Current Communication Service Providers Performance Management Uses:
Currently, CSPs use performance management tools for several important reasons. Those reasons are:
- Monitoring end-to-end service assurance;
- Analyzing converged infrastructure performance;
- Ensuring quality of service to end users;
- And for capacity planning.
Communication Service Providers’ Performance Management Challenges and Future Trends
A large amount of data is being transferred on a daily basis and is expected to grow with innovative technology, such as sophisticated computing advancements like the cloud, multi-access edge computing (MEC), the rise of the Internet of Things (IoT) devices, and the growth of smart cities. Also, enterprises planning on digitally transforming their business will boost the already high volume of data. Accedian found a statistic that highlights the problem that massive data traffic presents to IT departments: “Nearly 80 percent of enterprises take longer than an hour to mitigate service outages, while productivity-killing performance degradation and intermittent impairments are often overlooked, or left unresolved entirely.”
CSPs need performance management tools that automate the process of addressing challenges posed by the substantial amount of data. Automation can be achieved either through machine learning (ML) or artificial intelligence (AI). Kevin Wade, senior director of solutions for Ciena’s blue planet division, told APM Digest that because of the growing adoption of technologies like software-defined networking (SDN) and network functions virtualization (NFV) orchestration, along with maturation of AI and ML techniques, “we will see a whole new level of automation for communication service providers where the network can begin to anticipate failures or overruns, mitigate risk, and preemptively prevent problems before they happen.”
Accedian suggests two other future trends for CSPs, outside the use of automation when it comes to performance management. For one, the CSPs “will strive to delight their customers by not only offering the best performing network, but also by owning and assuring the best digital experience of the end user journey from initial subscription to end-to-end application performance — whether cloud, streaming, or simply web-based — on any device they use.” And two, CSPs will provide “digital transformation as-a-service” to enterprises.