UPDATED 21:00 EDT / JANUARY 01 2015

Docker will replace hypervisors as the container of choice, says NetApp: 2015 Tech Predictions

In 2015, a multi-vendor hybrid cloud is the only hybrid cloud that will matter, software-defined storage will build a bridge between public and private clouds, and Docker will replace hypervisors as the container of choice for scale-out applications. This is all according to Jay Kidd, Senior VP and Chief Technology Officer at NetApp, Inc., a provider of software, systems and services to manage and store network data.

Kidd‘s predictions about enterprise cloud are all part of our second annual Technology Predictions series in which industry experts share their predictions with us about the hot tech trends that they think will take center stage in 2015. We’ll be sharing all of their predictions with you over the next couple of days. Read on for more from Kidd.SiliconANGLE 2015 Predictions Enterprise Cloud graphic

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In my 35 years in IT, I have never seen so much simultaneous change in technology. Every part of the IT stack is in transition: end-user devices, networks, application design, virtual server software, physical server design, storage systems and even storage media. Some of these transitions are well underway and will accelerate in 2015, while others are just starting to emerge. Either way, buckle up! IT is going to be a wild ride in 2015. Here are my six technology predictions for 2015.

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Prediction No. 1: A multi-vendor hybrid cloud is the only hybrid cloud that will matter

Every customer is using cloud in some form. Just as most customers were reluctant to bet on a single vendor for their on-premises IT, they will choose to work with multiple cloud providers. Avoidance of lock-in, leverage in negotiations or simply a desire for choice will drive them to seek a hybrid cloud that does not lock them into any single provider. Software-as-a-Service (SaaS) vendors who offer no way to extract data will suffer. Platform-as-a-Service (PaaS) layers that only run in a single cloud will see less usage. Software technologies that can be deployed on-premises and in a range of clouds will find favor with customers who are thinking strategically about their model for IT.

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Prediction No. 2: Software-defined storage will build a bridge between public and private clouds

Software-defined storage (SDS), with the ability to be deployed on different hardware and supporting rich automation capabilities, will extend its reach into cloud deployments and build a data fabric that spans premise and public clouds. SDS will provide a means for applications to access data uniformly across clouds and simplify the data management aspects of moving existing applications to the cloud. SDS for object storage will bridge on-premises and cloud object repositories. The storage efficiencies in some SDS offerings will also reduce the cost of moving data to and from the public cloud and of storing active data in the public cloud for long periods of time.

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Prediction No. 3: Dockers will replace hypervisors as the container of choice for scale-out applications

As new applications for SaaS or large-scale enterprise use cases are written using the scale-out micro-services model, Dockers application containers have proven to be more resource-efficient than virtual machines (VMs) with a complete operating system (OS). All major VM orchestration systems now support Dockers and we will see the emergence of a robust ecosystem for data management and other surrounding services in 2015.

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Prediction No. 4: Hyper-converged infrastructure (HCI) will be the new compute server

HCI products are becoming the new compute server with direct-attached storage (DAS). Traditional data center compute consists of blades or boxes in racks that have dedicated CPUs, memory, I/O and network connections, and run dozens of VMs. HCI such as VMware’s EVO allows local DAS to be shared across a few servers, making the unit of compute more resilient, while broadly shared data is accessed over the LAN or SAN.

Starting in 2015, the emergence of solid-state storage, broader adoption of remote direct memory access (RDMA) network protocols and new interconnects will drive a compute model where the cores, memory and input/output operations per second (IOPS) storage will be integrated in a low-latency fabric that will make them behave as a single rack scale system.

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Prediction No. 5: Two mythical beasts—the Internet of Things and Big Data analytics—will produce corporeal children

The rise of integrated telemetry in industrial equipment, health-monitoring devices and mobile payment systems, along with a host of new sensors measuring the world, will provide the relevant data fuel for the next wave of business-relevant analytics. Companies that had found their existing data sets were not sufficient to yield real insight will be able to correlate with real-world data sets to optimize business processes and change their customer’s experience. Acquisition management of data from connected things, coupled with real-time and background analytics tools, will change how companies touch the world.

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Prediction No. 6: The future of all-flash arrays (AFAs) is not all flash

Flash is transformative to the future of enterprise storage. But the idea of an all-flash data center is utter nonsense and at least 80 percent of data will continue to reside on disks. Cost matters, and the least expensive solid-state drives (SSDs) will likely be 10 times more expensive than the least expensive serial ATA (SATA) disks through the end of the decade. Compression and deduplication apply to both disk and flash equally. Every storage architecture will incorporate flash to serve the “hot” data. However, those that choose to only include flash—and have no integration with other hybrid flash/disk arrays—will be the hot rod in the garage of IT. Fun to tinker with but not the reliable storage workhorse IT needs.

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2015 Technology Predictions graphic courtesy of SiliconANGLE

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