Blog Archives

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

Using Software Composable Infrastructure for RackScale Application – DriveScale Briefing Note

Rackscale applications like Hadoop, Spark, Cassandra and others count on using commodity storage that is typically internally available to the node processing the data. The idea is to reduce storage costs and network complexity. The problem is these designs create

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

Breaking Down Hadoop, Spark, Cassandra Silos – DriveScale Briefing Note

The storage architecture of most next generation applications, like Hadoop, Spark and Cassandra, leverage local, direct attached storage to avoid excessive storage traffic on the network and keep costs down. While this architecture does accomplish its goals, it also re-creates

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

Disaggregated Hadoop Clusters – DriveScale Briefing Note

Web-scale applications are designed to run on dozens, if not thousands, of small commodity servers, which expect direct-attached storage. As a result storage performance and capacity is directly tied to the purchase of more compute (servers). Over time almost every

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