What if you transformed your traditional vehicle into a self-driving car? Like new-age autonomous vehicles, your car could detect other activities on the road with a simple push of a button. It would also use built-in video streaming and computing capabilities for live data processing. Furthermore, your transport would leverage sonar tech to determine the distance between objects and avoid manual intervention. Certainly, driving down on a busy road in Manhattan would be effortless.
This is what software-defined networking allows administrators to do. It works as a central point to manage resources seamlessly within a network. Virtual networking monitors your whole network environment, helps you know application performance, and reduces management cost.
But why software-defined network (SDN) alone is not a magic pill for all your network woes? Here are three reasons:
- Complicated human operations: Software-defined wide area network (SD-WAN) is a leap forward compared to an actual wide area network (WAN). However, many solutions still rely on manual configurations.
- The biggest issue is ongoing operations: Initial SD-WAN setup is a challenge. Manually tweaking and fine-tuning the network to adapt to changes is prone to errors and often time-consuming.
- Low performance due to poor visibility: Limited monitoring capabilities for software-defined network management and lack of vendor-agnostic monitoring skills lead to blind spots and network downtime.
Why do you need to infuse artificial intelligence in software-defined networks?
Artificial intelligence for IT operations (AIOps) helps take things further. It allows automated operations and improved business agility. AIOps infuses machine learning into operations to increase automation across your network. This curbs human errors, reduces error rates, and enables you to make network changes at digital speeds.
Increasingly, organizations acknowledge that network automation is the future. 85% of respondents said their organization has one or more types of automation. Enterprise Management Associates (EMA) research has found that businesses are applying AIOps to network infrastructure to enhance automation and deliver better service assurance. Furthermore, AIOps technology is being applied to 90% of network automation initiatives, and automated change based on analytically derived insights is one of the prominent use cases today.
READ MORE | STABILIZE NETWORKS FOR REMOTE WORKERS
How AI network management transforms your operations?
Artificial intelligence in a software-defined network is like a self-driving car. It can make decisions based on dynamic requests and adapt to changes faster than humans. Autonomous cars continually monitor speed limits, poor road conditions, and determine what changes to make based on requirements. Likewise, self-driving network operations monitor blind spots, analyze application performance, defend security breaches, and notify the right personnel with no manual intervention.
Without intelligent and self-working systems, network operations are held back from reaching optimal potential. For example, it takes organizations an average of four months to make critical changes across their network. The reason being, manually fixing glitches and maintaining legacy network operations take too long to maneuver. ZK Research found 30% of network engineers spend at least one day a week doing nothing but troubleshooting problems. Software-defined networks can improve these metrics, but there’s still a dependency on people.
AIOps helps eliminate human error, which is the most significant contributor to unplanned network downtime, to let network administrators focus on higher-level tasks instead.
LEARN MORE | INTELLIGENT NETWORK MANAGEMENT
What does it mean for your operations?
With complicated and hybrid operations, 90% of the time is often spent on identifying the source of the problem. AI network management can spot the smallest anomaly, quickly present you with network downtime reports, and develop an application-aware software-defined network. You get to the root of the problem even before the impact and minimize business outage. Additionally, you can realize three major benefits from AIOps + software-defined networks.
- Intelligent routing capabilities: With SD-WAN network administrators can centrally manage routing rules and transmit them across a network. However, AIOps in SDN takes a step further to help anticipate network incidents through accurate fault prediction. It adjusts network glitches via self-aware algorithms before users are affected, improving network performance.
- Secure NetOps: Multiple mobile devices, Internet of Things (IoT), edge devices, and new entry points continue to inundate network operations. SDN automation, along with AI-based analytics, boosts network security by analyzing how specific devices or changes impact security, network operations, and application performance. AI in SDN also offers intelligent recommendations for network changes, like the unauthorized use of SaaS apps.
- Enhance application performance: AI helps understand application flow topology and provides you visibility into bandwidth consumption with real-time analysis. Also, it helps optimize bandwidth resources via automatic compression and deduplication techniques to ensure better application performance.
How can we help you shape business outcomes?
A connected and autonomous vehicle knows all the rules of the road—how to identify blind spots on the go, when to auto-sync with traffic signals, and how to take safety measures on its own—using AI, real-time data from IoT sensors, cameras, and more. Similarly, a self-aware network prevents administrators from making mistakes, predicts breaches, and identifies root-causes of low network performance.
Our AIOps + software-defined networking solutions are designed to keep business growth clear and accident-free. We enable smarter networks that quickly adapt to changing business conditions, self-heal if necessary, and free-up your resources to focus on innovative initiatives. With SaaS apps and growing cloud computing needs, AI network management is key to stabilizing as well as scaling digital operations. Future-aware organizations are already in the driver’s seat. Are you?
Contact us for intelligent network operations before Tesla sends another autonomous car into space.
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