Great speaking with Jim Frey, Vice President of Strategic Alliances at Kentik about the results of their survey to determine how network challenges are affecting digital transformation. The company surveyed 203 IT professionals attending Cisco Live 2017. The respondents were typically infrastructure professionals embracing APIs and programming languages.
The results reveal that cloud adoption is still the most vexing factor in increased network complexity, ahead of the internet of things (IoT), software-defined networking (SDN), and network functions virtualization (NFV). In addition, while machine learning is strongly embraced as an important technology for network management, most organizations aren’t yet ready for network automation. In fact, most are still in the process of gaining sound operational visibility, integrating network management tool stacks, and implementing distributed denial-of-service (DDoS) security for their cloud and digital initiatives.
Key findings include:
Cloud adoption is still the largest factor in increased network complexity: 36% of respondents indicated that the cloud adds the greatest network complexity to their organization, topping IoT (21%), SDN (12%), and NFV (3%). Jim feels like SDN technology is part of the answer since it will provide a programmable resource.
Most organizations still have room to improve operational visibility for cloud and digital business networking: Only 20% of survey respondents think their organizations are doing an excellent job of monitoring the performance and security of their cloud and internet dependencies (e.g. IaaS, PaaS, SaaS, web APIs and web services). Another 25% reported that their organizations are doing a below-average to poor job.
Organizations need better DDoS detection capabilities: Despite the spike in DDoS attacks, including those hitting Dyn in October and Cloudflare in December, only 32% of respondents reported that their company is using DDoS detection technology to manage the security of their cloud and internet dependencies.
Most organizations lag in integrating their management tool stacks: 70% of respondents recognized that using the same stack of tools to manage both network performance and security can significantly improve operational efficiencies. However, the majority of respondents (59%) said their organization is not yet using the same stack of tools to manage both network performance and network security.
Machine learning is a priority, but most aren’t ready for automation: 60% of respondents said machine learning is “extremely important” or “very important” for network management. However, only 14% said their organization is ready for full network management automation.
“There is a lot of noise in our industry right now about intuitive systems and new-age machine learning that can monitor, identify and react to network conditions before issues occur. However, dozens of our largest customers have been telling us, and our survey results from Cisco Live support, that the key 2016 and 2017 enterprise efforts have focused on getting complete visibility into increasingly hybrid network complexity; detecting and preventing DDoS; and integrating tools that can provide operational and business value from network analytics,” said Avi Freedman, co-founder and CEO of Kentik. “Full automation outside of constrained data center and cloud topologies is still a vision that customers are tracking, but network operators say that they need deeper and comprehensive visibility into their network’s performance and security before they can let their networks run autonomously.”
“Real-time network traffic intelligence is a critical component for network operators supporting their organizations with digital transformation,” he added.