San Francisco-based startup Avi Freedman, Kentik CEO. “They may say there’s a problem over in the network, but what is it? …We’re embracing [the network], but taking a more AI approach to surfacing insights and automation approach to what you do with that.”
The AI-enabled capabilities include:
Network operations insight into infrastructure and traffic across cloud, data center, WAN and campus environments, including traffic growth and capacity run-out dates.
Edge network utilization and costs, including predicting cost overages and alerting on traffic spikes so teams can shift traffic to avoid network congestion.
Network protection by setting smart baselines and thresholds to automatically recognize traffic anomalies, more easily investigate incidents such as DDoS attacks, and automatically prevent threats from causing performance and availability issues.
The majority of Kentik’s early customers are service providers. AIOps can help them understand how their customers and subscribers use their services to more quickly Continue reading
Chris Wade
Chris Wade serves as the co-founder and CTO of Itential, a network automation software company focused on simplifying and accelerating the adoption of network automation and transforming network operations practices.
SD-WAN (software-defined networking in a wide area network) was originally touted as a way to leverage both private (MPLS) and public (internet) networks to route traffic to the most appropriate network. Over time, SD-WAN has evolved and enabled the acceleration for more innovative services. In an effort to extend SD-WAN into a multicloud reality, SD-WAN 2.0 enhances security and analytics while connecting innovation at the edge with application and cloud concepts. While we have seen tremendous innovation in the cloud ecosystems, network and application domains are adopting similar concepts to build software-centric, programmable networks.
Given these applications and networks now span clouds, data centers, WANs, LANs, and edge, the automation of networks should be viewed as a Multidomain problem. Each domain has unique challenges which should be automated locally while providing an end-to-end capability to align with the target network reality.
Applications and services are becoming more distributed and require connectivity and policy enforcement across a variety of domains. Whether it is zero-trust security, intelligent network automation, Continue reading