Avesha, a provider of transformative software platform that helps applications disaggregate seamlessly from cloud to the edge, has been listed as a Sample Vendor in five Gartner Hype Cycle reports. Namely, Hype Cycle for Zero Trust Networking (July, 2023), Hype Cycle for Infrastructure Strategy(July, 2023), Hype Cycle for Infrastructure Platforms(July, 2023), Hype Cycle for Container Technology (July, 2023), and Hype Cycle for Data Center Infrastructure Technologies(July, 2023)
Further adding to its industry recognitions, Avesha’s KubeSlice was mentioned in two Gartner research report, which we believe emphasizes its role in cloud-native applications. Avesha is mentioned in the Gartner Decision Point for Choosing a Runtime Platform for Cloud-Native Applications report (September, 2023) in the Multi-Cluster Application Networking section. Additionally, Avesha was mentioned in the Gartner Guidance Framework for Deploying Containers and Kubernetes report (September, 2023).
Addressing the growing demands for moving workloads from datacenter to cloud, Avesha, a portfolio company of Taiwania Capital, is a leading innovator in cloud technologies, with focus on a simplifying and optimizing the deployment and scaling of Kubernetes applications, its products and solutions are designed to help enterprises accelerate their digital transformations and cloud journeys.
“We are thrilled that Avesha has been named in the five Gartner Hype Cycle reports, which we believe underscores the uniqueness of Avesha’s approach to multi-tenancy and multi-cluster visibility and management for enterprise Kubernetes deployments.” said Cheng Wu, General Partner of Tech Fund of Taiwania Capital, who also serves on the board of Avesha. “To us, this acknowledgement also reflects the importance of fulfilling our commitments, that is, investing in firms at home and abroad that have new technologies, but also facilitating cooperations between Taiwan and overseas partners in cutting-edge innovations.” he added.
Leare more about how businesses can benefit from Avesha: https://avesha.io/
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