T H E E D G E

Roland Mestric , Head of Marketing for IP Network Automation , Nokia

Lack of network visibility is a key issue . Without real-time insights into device performance , traffic patterns and network health , IT teams are forced to operate blindly and react only after problems impact customers . Troubleshooting becomes slow and intended . Every change is rigorously validated and verified before it goes live , ensuring seamless , reliable operations . This predictable automation guarantees correct outcomes and emphasises repeatability .

Just as pilots use precise telemetry and pre-flight checks to ensure safe travel , predictable operations in data centre networks can ensure that changes are implemented safely and efficiently , without disrupting the entire system .

But automation is not enough

Product quality plays a critical role in network reliability .

Defective hardware or buggy software can trigger unexpected failures , disrupts operations and force organisations into reactive mode by scrambling to resolve issues they didn ’ t anticipate .

To manage accelerating demand with all the freedom and control they need , data centre teams should prioritise solutions that adopt a quality-first approach and bring new levels of reliability , simplicity and adaptability .

The future of data centres

To mitigate risk , organisations need proactive automation , comprehensive observability , top-of-the-line product quality and a fail-safe validation solution .

Achieving reliable data centre networks demands a new approach to building and managing networks . By addressing human error , poor visibility and product quality , and by embracing emerging technologies such as AI-driven automation and real-time observability , organisations can achieve a new level of operational resilience , ensuring persistent business performance , especially as the complexity of data centre infrastructures grows .

Data centre networking is evolving toward self-healing systems that proactively resolve issues to prevent downtime , reduce human error with event-driven automation and deploy advanced hardware and software that set higher standards for performance and reliability . �

inefficient , as engineers manually piece together data from fragmented tools which increasingly drives up resolution times and prolongs disruptions .

Predictable operations

We need to make network automation more trustable and easier to use while making network operations predictable .

If we can ensure that the proposed changes will succeed , we ’ re able to move faster and with greater confidence . If our tools emphasise correctness and repeatability , we ' ll reap the benefits we ' ve been after all along , and we can avoid those calls at night and those regretful comments : “ I thought it wouldn ’ t have any impact .”

With features like revision control , digital twin modeling , pre- and post-change checks , streaming telemetry and networkwide transactions , operations teams can trust that the network performs exactly as

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