The performance and cost-effectiveness of cloud-native applications based on Kubernetes is well-established, prompting many enterprises to adopt this technology to transform legacy applications and deploy enterprise AI/ML models.
In an engaging webinar, Torsten Volk, a Principal Analyst at the Enterprise Strategy Group, converses with Anirban (Oni) Chakravartti, Senior Vice President and Global Head of Enterprise Sales at Rakuten Cloud, about the challenges of supporting these applications.
Chakravartti argues that for many applications, edge clouds will play a more critical role than will public clouds. Edge computing is essential to achieve high efficiency for applications that need the just-in-time decisions that are required to support real-time actions. The business result of this architecture is higher customer profitability.
The discussion also addresses critical issues related to these applications, including data governance, synchronization of edge cloud clusters, and essential data services such as backups, high availability, and data protection.
Watch this webinar (at this link) for new insights to address many of the challenges facing IT staff who are transforming their infrastructure with cloud-native enterprise AI/ML and legacy applications.
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