Here are Tintri’s top three technology predictions for 2017.
Tintri Top Three Predictions for 2107
Containers on bare metal will become popular for hard-to-virtualize workloads.
Progress toward fully autonomic infrastructure will reduce the need to actively manage data center hardware.
Predictive analytics will span infrastructure silos to provide a more complete picture of data center activity.
The coming year is going to be an exciting one for Tintri—and our customers and partners—as we continue to innovate on our enterprise cloud platform. We’re enhancing our products to provide the agility of the public cloud for on-premises infrastructure with the control and insight your business needs to succeed.
Here are our top three predictions for 2017. Keep an eye on this blog throughout the year to find out what Tintri is doing to make these predictions a reality.
1. Containers Revive Physical Workloads
Companies wanting performance without even the small latency price of modern virtualization are turning back to physical workloads, but with a container twist. Containers give bare metal performance and hardware access for real-time transactional workloads, but with some of the abstraction and portability benefits of virtual machines (VMs). Containers-on-physical can be a solution for those hard-to-virtualize workloads where performance and latency are essential. Containers are also more lightweight and ephemeral, making them a great match for modern cloud-native workloads.
2. Don’t Be Nervous—It’s an Autonomic System
Companies don’t want to actively manage their data centers—in fact they can’t. It’s impossible to meet the agility and scale demands of the digital market. This is the year companies turn away from legacy architectures that are crudely automated (or automatable) and look for intelligent infrastructure built for virtualization and cloud workloads. This infrastructure must be highly autonomic, providing guaranteed levels of service, high performance, and policy-based management for workloads that run for three years or three seconds.
3. Analyze This
For years, organizations have struggled to get full value out of all the data generated by the data center. Third-party software is cumbersome and often only addresses one silo or another, so it hasn’t really mined the potential insight across the infrastructure. Now organizations have better data and can drill into the behavior of any individual virtual machine. And they have better analytics.
In 2017, infrastructure providers will make more advances in predictive analytics, getting smarter about how to use historical behavior to forecast the future. Analytics will span silos, seeing across compute and storage to offer a more complete picture of the data center.
Unique control with VM-level actions for infrastructure functions including snapshots, replication and QoS make protection and performance certain in production, and accelerate test and development cycles.