IT orgs feel less locked into their network management tools, particularly as they look to apply AI/ML to tasks such as intelligent alerting, change management, and capacity management.
With a cloud networking solution that works across multiple providers, network teams can design self-service capabilities that allow cloud and DevOps teams to build and manage networks without compromising security.
Less than 31% of organizations are fully confident in the security of their DNS infrastructure, finds EMA.
Explainable AI might overcome the distrust that enterprise network engineers have for AI/ML management tools that have the potential to streamline network operations.
Volume of data, frequency of polling, security, and the impact on network performance are among the concerns of networking teams, according to an EMA survey.
Multi-vendor SD-WAN environments and poor WAN visibility can complicate the move to a SASE architecture.
For multi-cloud networking to succeed, NetOps must have a seat at the table, but IT leaders need to buy into it, according to EMA.
Network observability can be dismissed as a buzzword, but to be useful it should include monitoring, security, data, and actionable insights.
Sponsored Links