The Future of NetOps

Transformation of NetOps With AIOps and No-Code Tools

As the volume of data that networks have to process expands and business demands intensify, organizations will diverge from reactive troubleshooting to proactive, AI-driven network operations. AI strengthens every level of the team. Junior engineers can quickly diagnose and resolve issues with AI-guided workflows, while senior experts leverage advanced analytics to focus on architecture, optimization, and innovation — maximizing team efficiency and impact.

NetOps now drives business growth, sustains digital services, and accelerates cloud adoption, making AI indispensable for reliability and scale. AI operations (AIOps) allow companies to stay agile and avoid bottlenecks. The most forward-looking teams are adopting advanced AIOps platforms that combine AI, machine learning, and big data analytics. These tools automate critical functions, surface real-time insights, detect anomalies early, and trigger rapid responses. This leads to more resilient networks that resolve issues before they disrupt performance.

Acceleration of Cloud Migration

Enterprise NetOps leaders will be expected to design service delivery plans with a keen focus on Cloud services, including the visibility and supportability expected in traditional infrastructures. Why? Cloud migration has significant operational efficiencies, cost savings, and improved enterprise service reliability.

The cloud enables rapid scaling, centralized management, and access to advanced technologies like AI and real-time analytics, which are difficult to achieve with legacy infrastructure. Enhanced security, faster disaster recovery, and hybrid or multi-cloud flexibility drive adoption, transforming NetOps into more business-aligned.

Focus on Reducing Mean-Time-to-Repair (MTTR)

The increase in infrastructure complexity and the shortage in staffing resources and specific experience has contributed to a renewed focus on reducing MTTR. One of the less-known facts about running a digital infrastructure is the volume of network service desk tickets. In large multi-national organizations, these service desks may be barraged by hundreds of service tickets daily.

While the average MTTR for these tickets has historically been several hours, the number of tickets will continue to rise due to complexity and dispersion. The duration for each ticket will increase as staffing to fill the required skill sets becomes more scarce or more highly utilized. Historically, enterprises rarely created repeatable remediation processes, instead treating network incident remediation as more of a one-off scenario.

Due to the differences in skill sets, the work performed has always been more of an art than a science. Enterprises that invest in the means to capture expertise and make it scalable and shareable will be well-positioned to reduce MTTR significantly — minimizing downtime, ensuring faster service restoration, and maintaining business continuity.

Revisiting Service Delivery Accountability

Service delivery accountability will be revisited and renewed as topologies become more virtual. It has become clear that IT leadership remains responsible for IT, regardless of where services are hosted. Previously, it was common to point the finger at the cloud providers or MSPs as the source of any issues since that is who owned the computing power platforms.

However, it is no longer acceptable to shift responsibility elsewhere when it comes to IT service delivery performance. Classical wisdom will be re-stated that where to put services and the responsibility for the services themselves is with IT leadership. As a result, interest in multi-vendor and hybrid end-to-end visibility, control, and supportability continues to grow.

Convergence of Automation and Security

More organizations are adopting virtualized infrastructure and cloud services, expanding attack surfaces. Security threats are also becoming more complex. There is a need for continuous validation and security protocol testing.

NetOps automation will continue to play an essential role in enabling live monitoring, rapid vulnerability detection, and automatic verification of security measures. By regularly and automatically testing security boundaries, organizations can quickly adapt to threats and maintain protection in a dynamic environment.

Automation drives network orchestration by enabling the coordination of devices, data flows, and services across complex environments. Automation solutions streamline workflows, making it easier to detect changes and respond to issues in real time.

IT Leaders Shift Their Approach

IT leaders are rethinking their operational priorities to navigate emerging challenges and build more resilient, future-ready networks.

Undertake a Tactical Approach

Tactical versus strategic will continue to be a big theme for IT leaders in the future. While leaders have always considered themselves strategic change agents, their ability over the last handful of years to devote the majority of their time to strategic activities has been limited due to the scope and scale of their immediate tactics. In general, IT infrastructures are living, growing beasts and most NetOps teams are happy to just make it through each day unscathed.

There is simply too much fire-fighting at play within infrastructures that are fairly delicate in nature. Not surprising because most of these infrastructures are poorly understood at the detail level, poorly documented, and the interdependencies poorly understood. We can expect that shareholders, stakeholders, and the analyst community will continue to challenge IT leaders to carve out time to plan ahead strategically and get past their daily fire-fighting. Strategic thinking about the digital infrastructure will remain a critical success factor for every organization.

Call for End-to-End Visibility

IT leaders will begin asking (more vocally) for core foundational infrastructure knowledge, including assessments of:

• What is connected to what
• What are the apps in place and how are they architected
• What are the service-level and performance interdependencies
• What are the support plans and resources, etc.

And they will no longer accept the artificial boundaries and silos that have become so commonplace within IT. Technologies such as SDN and SD-WAN will not be allowed to sit on the periphery any longer. NetOps challenges are far-reaching and usually traverse distance and function. A much more homogeneous operational top-down and business-centric view will be required, viewing topologies from many angles — raw connectivity, performance capacity, and even security conditions.

Reimagine Operations to Prevent Network Outages and Service Degradation

Outages and service degradation remain a concern because of their frequency and widespread, business-critical impact. Study after study confirms that the frequency of outages and service degradations is increasing, the duration of each of those incidents is elongating, and the fiscal impact of these problems is rising. This is largely due to the fact that while infrastructure hardware and software technologies have markedly advanced servers, storage, and networks, the manner in which these leading-edge technologies are managed has largely remained unchanged for decades.

Decades ago, network engineers were hacking through the same kind of command lines and individual scripting to solve remediation challenges. They were solving the same problem over and over again as if it were bespoke. Modern leaders are focusing on recreating the IT function with a blank canvas, thinking differently about service delivery, and then capturing expertise and then automating that expertise at scale.

Advancing NetOps With Purpose

NetOps trends will continue evolving toward intelligence, automation, and accountability, setting a new standard for how networks perform and scale. NetBrain delivers capabilities aligned with these goals. Schedule a demo today to see how NetBrain can help your team stay ahead of the curve.