Blog Archives

What is Cloud Adjacent Storage? – INFINIDAT Briefing Note

Cloud adjacent storage is storage positioned within close proximity to a data center owned by a cloud provider. It enables compute the cloud provider hosts to have high performance, low latent access to data across traditional storage protocols. The challenge

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

Optimized Performance for Oracle and MS-SQL – Vexata Briefing Note

In most cases CPU utilization is a direct result of how quickly can the storage architecture respond to the IO request. Generally speaking, the lower the CPU utilization, the more time the CPU is waiting for the storage architecture to

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

How to Leverage AWS or Azure Object Storage For Cloud Hosted Applications

Many organizations are looking to move their applications to cloud providers like Amazon Web Services or Microsoft Azure. Part of the challenge is how to integrate the organization’s applications with native cloud storage protocols. Instead of re-writing existing applications from

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

Integration Primary and Secondary Storage – Reduxio Briefing Note

In most data centers, there are two distinct types of storage. Primary storage to respond to the needs of performance demanding applications and secondary storage to maintain a backup and provide secondary copies of the primary storage. These two tiers

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

What’s Wrong with a Cloud First Strategy – Velostrata Briefing Note

The problem with a cloud first strategy is organizations assume clouds are the ultimate data centers, that the organization can’t do it better themselves. The reality is that there are some functions where the cloud is more optimal. Then there

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

The Storage Challenges that Cassandra and Couchbase Create

Traditionally databases are scale up, running on a single powerful but expensive server. Distributed databases like Cassandra and Couchbase are scale-out and run on commodity white box servers, each of which becomes a node in a cluster. Traditional databases are

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

Are the Hardware Requirements of Your NoSQL Database Killing Your Budget?

When SSD isn’t fast enough for you, the rules have changed. Databases have always wanted more memory, but the demands of applications like Cassandra and Couchbase take this to a new level. The demands of NoSQL databases like Cassandra and

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

Overcome Couchbase and Cassandra DRAM Aggravation

Couchbase and Cassandra count on the active data set to be in RAM. To overcome the RAM limits of a single server and to make more compute available, the environments run in a cluster that aggregates the RAM and CPU

Tagged with: , , , , , , , , , , ,
Posted in StorageShort

Accelerating Reads and Writes with PernixData

Everyone acknowledges that flash storage is faster than spinning disk, and most acknowledge that the closer to the CPU this storage is, the more it accelerates I/O performance. In addition, everyone agrees that the only thing currently faster than flash

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