My Tintri Journey: Erwin Daria
Who am I? Chances are, you don’t know who I am. Unlike my esteemed colleague Rob Girard, I am neither a techno superhero nor do I have the courage to rock the mohawk. Like him I am a passionate technologist…
Who am I? Chances are, you don’t know who I am. Unlike my esteemed colleague Rob Girard, I am neither a techno superhero nor do I have the courage to rock the mohawk. Like him I am a passionate technologist…
KEY TAKEAWAYS Tintri Analytics helps you make better decisions via cloud-based forecasting of storage and compute. Ensemble predictors forecast storage performance and capacity as well as server CPU and memory needs on a per-VM basis. Careful benchmarking of Tintri VMstore…
There is no try, only do. Ready to get your hands dirty? We've got an interactive demo for you—no registration required. See storage differently, starting now. It's May 4th, and if you've been on the Internet at all you probably…
“All problems in computer science can be solved by another level of indirection — except for the problem of too many layers of indirection.” – David Wheeler
This principle is particularly applicable when you think of it in the context of virtualization and storage. Virtualization introduces a new layer of abstraction — the VM — that provides unprecedented benefits, including consolidation, flexibility, and high availability. But other critical parts of the infrastructure still use their own layers of indirection. Existing networked storage is designed for every imaginable type of workload. It presents abstractions such as LUNS or volumes, RAID groups, and queues to create and present logical disks to applications. In the previous all-physical world, these abstractions were effective and mapped directly to the workloads. These legacy storage systems were designed before virtualization was even a consideration, and adapted to virtualization via the typical computer industry approach: Introduce another layer of abstraction to mask the complexity of meshing these two layers together.