Blog Archives

Designing Storage for MongoDB, Spark, MySQL, and Cassandra – Pavilion Data Briefing Note

Modern applications like MongoDB, Spark, MySQL, and Cassandra are disrupting traditional storage architectures. To keep storage costs down and performance high these applications use direct attached PCIe flash storage. Many organizations are rapidly integrating NVMe. The problem is that direct-attached

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Why Data Movement Breaks Data Management and How to Fix It

The primary goal of a data management strategy is to reduce storage costs. Achieving that goal requires that at some point data will have to move from primary storage to a less expensive secondary storage. The movement of data between

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How to Protect the Entire Hybrid Cloud – Druva Briefing Note

Most organizations use the cloud in a hybrid manner. Some applications and workloads remain on-premises, while some are transitory between on-premises and the cloud, and still others are cloud only. The distributed IT model puts a new strain on the

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Developing a Practical Cloud Strategy for Traditional Data Centers

Many organizations want to develop a cloud strategy, but most don’t know where to begin. As a result, the organization stumbles into the cloud, often starting with using the cloud as a secondary backup storage area, with the hope that

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Any Cloud Strategy Requires Understanding On-Premises Workloads

Is a Cloud First Strategy Right for IT? The cloud is a resource that most data centers are trying to factor into their future IT planning. Early adopters have found though that not all their workloads work properly, or at

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Rethinking the Role of Enterprise Data Protection – IBM Briefing Note

Enterprise backup is at times a behemoth. While it does provide the data center a foundational level of protection, the solutions tend to be slow to adopt new environments and too heavy-handed to solve specific feature requests. As a result,

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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

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