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For ePact, Tintri was the obvious choice of storage supplier: the system only provides the virtual world with storage, and it does that with no restrictions. Tintri allows you to virtualise workloads that you used to be forced to keep physical. Their VM-aware storage enables you to virtualize everything, while you retain the control over your most important workloads. Tintri has a transparent converged infrastructure configuration, and allows you to scale your storage alongside your computing resources. Moreover, this enables you to keep software licence costs to a minimum, even when your company is growing.

What exactly does VM-aware storage stand for? Tintri stands for simplicity without compromise. Storage management does not need to be complicated, and now that is possible. By selecting next generation storage, you select a solution that perfectly matches the needs of the modern hypervisor. Thanks to Tintri, you combine storage and hypervisor management together seamlessly and you retain the global overview.

The system administrator or application manager of a VM now also receives the control over storage characteristics that are relevant to him, but now customised for a VM (or container). Examples are a guaranteed latency per VM, snapshots per VM, replication per VM (synchronous or asynchronous), latency inspection per VM (per expansion per virtual disk).

VM-aware storage offers guaranteed performance. Tintri has both hybrid and all-flash models. Their strength lies in the fact that they link the most recent hardware developments to their patented technology. VM-aware storage always keeps track of which I/O block belongs to which VM (or container).  This technology guarantees that all VMs have the same (or required) I/O latency, which you can set via the self-defined QoS rules.

Predictability is also important: besides the control over what is happening now, you also want to get a grip on what will happen in the future. That is why Tintri offers you Analytics which can assist you with ‘What if’ analyses, which warn you in good time for any growth problems.

Moreover, Tintri is not dependent on a hypervisor. So if you have several hypervisors in your environment, or if you are in the middle of a migration process, then that need not get in the way of your VM-aware storage. You simply link this to your various different hypervisors and use the available capacity without segmenting them. All common hypervisors are supported moreover: VMware, Hyper-V, KVM and XenServer.


Tintri Services


Virtual environments that are affected by the ‘noisy neighbours’ effect, or dormant storage issues that cannot be categorically defined, let alone resolved. Typical examples are MS SQL Database or Oracle databases that do not perform sufficiently well in a virtual context.


anyone who wants to protect his business against downtime and, in the event of big issues, wants to make a transparent switchover, soon turns their attention to synchronous storage replication. The price tag attached is usually an obstacle for traditional players. At Tintri, everything remains affordable, because you perform the replication based on cheaper Ethernet technology, and you do not need to take account of the strict rules employed by other systems. You can select per VM which one you want to replicate synchronously or asynchronously, and it is not necessary to define a particular format beforehand.


if you want to increase the flexibility and speed of your business processes, then storage does not need to stand in the way. Tintri integrates with a broad ecosystem and is by nature simple to manage and easy to steer. This can vary from simple scripting to integration with an automation platform (VMware VRO, VIO, OpenStack etc.).


we increasingly see that clients solve their End User Computing issue centrally by means of a VDI and published application. Due to the nature of this workload and the high IOPS node, classic storage is often insufficient here, with all the attendant consequences. Tintri makes the difference here, both functionally and financially, thanks to the

insight it has into the VMs’ workload. For instance, you can implement the capacity and performance nodes in the most efficient manner. Specifically, here we are talking about VMware Horizon View, Microsoft RDS or Citrix XenApp / XenDesktop projects.