It is a hybrid cloud world and in response to that situation NetApp has shown its commitment to arming the channel with flexibility with the launch of an as-a-service consumption model.
The data player has added a pay as you go approach to its data fabric offering with the option of cloud consumption like payment terms with monthly billing also being added for its HCI on-prem proposition.
Along with more flexible payment options the firm is also making its Cloud Insights available as a 'freemium' to underline its commitment to adding value in the online world.
“The way organizations invest in and consume IT resources continues to evolve—hybrid multi-cloud is clearly now the de facto IT architecture,” said NetApp CEO George Kurian.
“This is a reality that NetApp has been preparing for many years with our Data Fabric strategy. Our close partnerships with major public cloud providers, historical leadership in storage and data management, and groundbreaking approach to creating hybrid multicloud environments with Kubernetes and advanced data services represent an important milestone," he added.
Cloudian’s CEO Michael Tso shared his thoughts on the hybrid world last week revealing his belief that it was a situation that was here to stay for the long term because customers wanted to be able to choose where they placed data and shift between cloud and on-prem.
Deepak Mohan, research director, infrastructure systems, platforms and technologies, IDC, said that customers were looking to work across on-prem as well as the cloud.
“NetApp’s data fabric offerings enable enterprises to seamlessly manage data across a multitude of IT infrastructures, covering on premises and multiple public cloud service platforms," he said.
"IDC research shows that the gap between businesses that embrace data and those that do not has dramatically widened over the past 3 years. As the c-suite increasingly prioritizes data as a strategic asset, NetApp's new multi-platform offerings empowers IT organizations with the flexibility and consistency needed to maximize the value potential of their data," he added.