Why Cloud Networking is Essential for Forwarding Thinking Organizations
As companies go through various seasons of their growth, IT is expected to be ready to respond at any given time. If the business expands, IT has to expand. If the business is moving to multi-site, IT has to respond with solutions. IT departments have must be ready to respond to anything but also maintain its existing infrastructure. As we talk to customers and partners, it’s clear cloud networking is the solution that allows IT to be nimble and ready to react, while also maintaining a high level of availability to network services.
Control Your Costs
When you deploy networking hardware with onsite controllers or management systems, you have to plan for power costs, maintenance costs, and deployment costs. With cloud-managed networking tools, you get to avoid all of that headache and expense.
We operate the data center, we apply the software and security updates, and we handle the ongoing maintenance. It frees your organization up to focus on what your vision and mission are instead of spinning up new storage clusters.
Plan for Growth
With traditional networking tools, company growth can also create complications. How do you handle adding a new campus? How do you merge multiple buildings into a single management system? How do you handle remote employees?
With cloud-networking, these problems get solved. If you need to double the size of your network, you can do that. HiveManager can grow as you grow. If you need to triple the number of access points, you can do that without having to plan for additional onsite management hardware. You’ll just purchase the additional access network products (switches, access points, routers, etc.), and then you are off and running.
Focus on the Future
By leveraging a cloud-managed networking stack, you get to take advantage of the latest advances in artificial intelligence (AI) and machine learning (ML). Because we see the trends across all of our customers, it allows us to proactively improve your network experience, fixing problems before they affect the end user. AI and ML services allow networks to be managed using insights driven by network performance data, which is collected frequently. With rapid IoT growth and a vastly growing number of uses for enterprise networks beyond the traditional notebook/tablet/smartphone use-case, we expect AI to keep pace with the rapid changes enterprise networks continue to undergo.
Cloud networking and cloud architectures are the unifying factors that enable AI and ML. Continuous operation and real time innovation, as they relate to the cloud, mean operations of applications and data services are continuously available, without interruption, and that delivery of releases, updates, and patches are fully automated.