Blog Archives

True WAN Optimization is not Deduplication – Bridgeworks Briefing Note

The four walls of the data center no longer confine users, applications, and data. Organizations are multi-site, and users want to work from anywhere. Making “work from anywhere” a reality still requires data and data still has gravity. Data has

Tagged with: , , , , , , ,
Posted in Briefing Note

Simpler is Better – Solving Rack Scale Storage Problems – DriveScale Briefing Note

The storage infrastructure for multi-rack scale applications like Hadoop Spark, Cassandra, and CouchBase, are typically built using directly attached flash-based storage instead of a shared flash array. The motivation for using direct-attached storage (DAS) is simple. Media inside a server

Tagged with: , , , , , , , , , ,
Posted in Briefing Note

The Data Management Imperative vs. IT Reality

Data management is hard, and with the massive growth of data this task is becoming even more difficult. But, data growth is also making data management an imperative. Organizations need to figure out a way to better manage their data

Tagged with: , , , , , , , , , ,
Posted in Blog

Hardware Defined All-Flash Arrays for a Software Defined World – Storbyte Briefing Note

While software-defined storage (SDS) captures the attention of the market, enterprise IT professionals know that the hardware still matters. The problem is that while a multitude of SDS solutions have come to market the hardware selection pool is essentially limited

Tagged with: , , , , , , ,
Posted in Briefing Note

Understanding All-Flash Costs – X-IO Briefing Note

All-flash arrays are quickly becoming the production storage system of choice. Organizations like that all-flash arrays eliminate the need to constantly fine tune the environment to wring out that last little bit of performance. The problem is that flash arrays

Tagged with: , , , , , , , , , ,
Posted in Briefing Note

Solving the Hybrid-Cloud Data Management Problem – Elastifile Briefing Note

Executive leadership wants IT to move the organization to the cloud but does not realize that from a data management perspective, the cloud is akin to the wild, Wild West. To move applications requires refactoring them, and meeting the performance

Tagged with: , , , , , , , , ,
Posted in Briefing Note

Meeting the Five Unstructured Data Backup Requirements

In the last blog, we laid out the five requirements for unstructured data protection; fine-grained backups, frequent and rapid backups; cloud support, data classification, and an archiving future. Aparavi is one of the first data protection companies specifically focused on

Tagged with: , , , , , , ,
Posted in Blog

Enter your email address to follow this blog and receive notifications of new posts by email.

Join 21,861 other followers

Blog Stats
  • 1,233,261 views