Micron Technology announced the first open-source, heterogeneous-memory storage engine (HSE), designed for solid-state drives (SSDs) and storage-class memory (SCM).
The recent Micron Technology forecast indicates that its current-quarter revenue will be above analysts’ estimates despite a number of chipmakers warning of sales hit due to the coronavirus outbreak.
HSE, originally developed by Micron and available to the open-source community, is ideal for developers using all-flash infrastructure who require the benefits of open-source software, including the ability to customize or enhance code for their unique use cases.
“Micron is uniquely positioned to build a software stack that accelerates applications running in today’s flash-based storage environments as well as storage class memory-based infrastructure of the future,” said Derek Dicker, corporate vice president and general manager of the Storage Business Unit at Micron.
HSE reduces latency, especially for large-scale data sets, through intelligent data placement. HSE improves throughput of particular storage applications by up to six times, reduces latency 11 times and improves SSD endurance by seven times.
HSE can also take advantage of multiple classes of media concurrently, such as flash and 3D XPoint technology. When a Micron X100 NVMe SSD, the world’s fastest SSD, is added to a set of four Micron 5210 QLC SSDs, throughput more than doubles and read latency improves nearly four times.
“We see enormous potential in the technologies being introduced by Micron, especially as it takes an innovative approach in lowering the latency between compute, memory and storage resources,” said Stefanie Chiras, vice president and general manager of Red Hat Enterprise Linux at Red Hat.
Brad King, field chief technology officer and co-founder of Scality, said: “While our storage software can support ‘cheap and deep’ on the lowest-cost commodity hardware for the simplest workloads, it can also exploit the performance benefits of technologies like flash, storage class memory and SSDs for very demanding workloads.”
Integration with MongoDB, the world’s most popular NoSQL database, delivers significant performance improvements, reduces latency and takes full advantage of modern memory and storage technologies. It can also be integrated with other storage applications like NoSQL databases and object stores.
HSE is ideal when performance at scale matters, including very large data size, large key counts (billions), high operation concurrency (thousands), or deployment of multiple classes of media.
The platform is designed to be extensible to new interfaces and new storage devices, enabling use with a broad range of applications and solutions, including databases, internet of things (IoT), 5G, artificial intelligence (AI), high-performance computing (HPC) and object storage.
HSE is capable of delivering additional performance for software-defined storage, such as Red Hat Ceph Storage and Scality RING, that enables cloud-native applications through containerized platforms like Red Hat OpenShift as well as tiered performance for file, block and object storage protocols for multiple use cases.
