PAGE 3 NetBrain: Automating Problem Diagnosis Transforming NetOps Through Intent-Based Automation As enterprises scale their hybrid networks through the adoption of new technologies, organic growth, and mergers & acquisitions , keeping the business running while minimizing operational overhead is more critical than ever. These hybrid networks must support remote work, cloud- based services, and a litany of software-defined networking technologies, each of which dramatically increases the complexity. The result? More operational service tickets. And these service tickets may number into the hundreds or thousands per week – many of them solving the same issues that have already been resolved countless times before. Continuously troubleshooting the common issues is tedious, repetitious, and inefficient. Adding more service desk personnel is a common and tactical solution to this growing problem, but it fails to achieve the desired results of lower operational costs, shorter task duration, and more consistent ticket resolutions. And the varying skill levels of operators and engineers negatively impacts the ability to effectively and rapidly solve problems. The most successful IT leaders realize that their operational plan must not only scale, but be smarter. With more than 80% of all service tickets categorized into less than a dozen types of similar issues, collectively solving this small set of common problems at scale can be transformational to the business. That’s where network automation comes in. There have been two major challenges to implementing an automation-centric approach to scalable network operations. 1. The limited visibility of the entire network, with all of the performance and configuration detail needed for every network component and their context. 2. The lack of a suitable no-code automation console that can address the simplest and most complex operational issues without the need for rigid development projects or programmers and associated costs of software engineering. of network problems are repetitive , but diagnosed the same manual way each time they occur of network problems are preventable , but organization lacks methods to enforce rules and practices 50 % 95 %