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When asked to choose a top business goal for 2019, over one-third of IT decision-maker respondents answered that it was to “improve network agility.” This particular answer was the number one choice.networking technician in long island ny
Thus, it must be important to many organizations. Yet it left us wondering, what does “network agility” truly mean? Agile software development is an easy enough concept to grasp. But as it relates to the network, I honestly wasn’t sure what makes one necessarily agile. After all, it sounds rather vague and potentially could mean different things to different people. After a bit of research, however, I discovered that network agility is rather well defined and consists of four key components. Let’s go over how to properly define network agility and its core components while also providing real-world examples of how one can implement network agility into any production network.
Network agility can be defined as the speed at which a network can adapt to change while maintaining resiliency, security, and management simplicity. Much of how network agility is accomplished today includes the use of modern architectures and technologies such as software-defined/intent-based networking, artificial intelligence (AI), analytics, and advanced automation. Within this construct, network agility is comprised of the following categories:networking technician in long island ny
1. Network automation: One way to increase network agility is to leverage automation for the handling of processes that were previously performed manually. Automation can be used to assist with overall network performance and efficiency. Improvements can be made using intelligent data flow mechanisms. These mechanisms use network telemetry data, health probes, and AI to analyze application data flows and the various paths they can be sent over. Automation can then leverage the analytics processed through the AI to choose the most efficient path based on the criticality of each individual data flow.
2. Deployment speed and scalability: From a deployment standpoint, both speed to deployment and scalability are key areas that are addressed through network agility. The use of zero-touch provisioning and centralized control-plane architectures are two examples where speed of provisioning new network segments and services can be enhanced. Then looking at scalability, automation can once again be put to use alongside virtualization. Automation can be used to create and deploy pre-defined network templates that can be deployed with just a few clicks. The result is the deployment of a network using virtual network appliances and network functions that are deployed with uniform network policies throughout the private LAN and into the public cloud.
3. Network visibility: the simplest thanks to maintain semipermanent network gracefulness is by having the correct level of visibility into a network from a knowledge flow perspective. Deep knowledge insights give a granular read of the end-to-end operational health of a network. This level of visibility permits network architects to know higher what’s going to happen once changes to network flows square measure discontinuous , change, or square measure additional to. heritage network watching tools like SNMP, traceroute, ANd ping aren’t any longer enough if your goal is to make an agile network. Instead, fashionable network analytics platforms that supply streaming network measurement knowledge and analyze it victimisation AI may be a much better selection.networking technician in long island ny
4. Streamlined information security: Lastly, no network can be considered “agile” unless the underlying security processes are both robust and streamlined. Adding the multiple – yet critically important – layers of network security into a network has become a huge management burden in many organizations. Network agility processes and tools help to eliminate this time sink through centralized control, software-defined segmentation, and access control/management. It can also be accomplished by using intelligent identification intelligence and automated security policy enforcement of identified end devices.
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