Most organizations are considering how to take advantage of the tremendous resources made available by the cloud. The first step for many of these organizations is to create a cloud migration strategy. As part of this strategy, the organization decides…
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…
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…
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…
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…
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…
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…
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…
Unstructured data presents two challenges that organizations need to deal with; the sheer volume of data and the quantity of files in the data sets. Storing this data is a problem in and of itself, but protecting it is an…
The biggest challenge any enterprise has to get over when migrating workloads to the cloud is SCALE! Large organizations have massive amounts of data; thousands of virtual machines and hundreds of terabytes of data. With this level of scale, migration…
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