Okestro said on the 11th that it released the results of a "Cloud-Native transition status survey" conducted on 8,978 IT workers at corporations and public institutions.
According to the survey, 84.7% of respondents said a Cloud-Native transition is necessary, but only 18.4% had completed the transition or were more than halfway through. Most were still at the initial discussion stage (39.5%) or at the level of pilot application to some tasks (27.6%), indicating that execution remains difficult.
Factors blocking the transition included: ▲ increased operational complexity (18.3%) ▲ legacy system complexity (17.4%) ▲ shortage of specialists (16.9%) ▲ security and regulatory burdens (10.5%). In addition, 82.9% of respondents said the complexity of multi and hybrid environments is increasing the need for transition.
The most anticipated effects of a Cloud-Native transition were ▲ improved operational automation (24.9%), followed by ▲ faster AI responsiveness (19.7%) and ▲ stronger DR and resiliency (16.8%).
Okestro is responding to this demand by supporting operational stability and service continuity based on a "full-stack sovereign AI cloud architecture" that covers everything from transition to AI infrastructure optimization and disaster recovery (DR). Based on its experience operating the Daegu PPP Cloud Zone, the company directly carries out the entire pre-transition process from consulting, design, and build to operations, and said it enabled rapid transition by reducing legacy analysis time to about 1/10 with its in-house MSA analysis automation tool.
It also supports AI workload operations by providing GPU virtualization (GPUaaS) and integrated resource management features based on its server virtualization solution "CONTRABASS" and operations management platform "VIOLA." Recently, by acquiring a DR specialist company, it internalized CDP technology and established a recovery environment that supports both active-standby and active-active configurations.
Kim Beom-jae, CEO of Okestro, said, "Many corporations recognize the need but face difficulties in execution due to complexity," adding, "We will actively support them so they can secure not only transition and operational efficiency but also service continuity."