Blog Archives

How DR Orchestration Can Improve Success while Lowering Costs

To the organization, all applications are essential, but not all apps are critical. There is a pecking order in terms of what applications need to be back online first. Recovery prioritization is especially crucial during a full-scale disaster where the

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

Reintroducing Tape to the Modern Data Center – Myth Busting Tape’s Shortcomings

To many IT professionals, tape media and tape libraries seem like an ancient technology used by the “old” IT guys. The reality is tape as a technology can be of significant value to the organization. Almost every data center is

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

Commvault Buys Hedvig – Insights and Ramifications

The data protection market is at a crossroads. Traditional software vendors like Commvault, EMC-Dell, Veeam and Veritas provide data protection software that resellers or end-users install on servers and storage they acquire separately. The approach tends to be services heavy.

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

Why DR Orchestration is a Must Have

Disasters rarely strike at a convenient time, like when recovery polices are all up to date, and when there are plenty of IT staff on hand to deal with any issues that may come up. In most cases, the opposite

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

Why VMware Storage is STILL a Problem

Most VMware storage solutions attempt to fix storage pain points with a sledgehammer instead of a scalpel. While the sledgehammer approach does solve or at least mask some VMware storage problems, many still remain. More importantly, the life of the

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

Streaming Recovery vs. In-Place Recovery – Which is Better?

Server recovery from backup typically means copying data from the backup device over the network back to a production storage system or server. In addition to copying the data across the network, the backup software has to extract it from

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

Silos of Clusters – Is this the End Result of Data Center Modernization?

Applications like Elastic, Hadoop, Kafka and TensorFlow typically operate on scale-out architectures built from dozens, if not hundreds of servers, which act as nodes in the application’s cluster. Many organizations now use a mix of these applications to derive the

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

New eBook: Hyperscale Performance, Is NVMe Enough?

Hyperscale architectures that support Elastic, Hadoop, and Kafka, often vary wildly between organizations and even within each organization. Each workload often needs its own cluster and IT teams are constantly trying new technology within those clusters, trying to improve performance.

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