Web Monsters: Hyperscale Web & Cloud
Tech Giants like Amazon, Facebook and Google have redefined IT for web-scale applications, leveraging
standard servers and shared-nothing architectures to ensure maximum operational efficiency and flexibility, and to provide the highest reliability. Their approach is referred to as the Software-defined Data Center (SDDC). Based on the same architectural principles and with the same objectives, Excelero has designed a Software-Defined Block Storage solution utilizing client-side services for scale-out applications.
Web, Cloud and Service providers are seeking to optimize their infrastructures in the same way as the Tech Giants. For storage, this means they want to deploy unified scale-out storage infrastructures leveraging standard servers, also described as Software-Defined Storage. SDS, integrated with SDN, virtualization and newer architectures such as containers and their orchestration platforms completes the SDDC.
The promise of SDS is to provide flexibility and reliability – without compromises – for storage environments of any scale. Web, Cloud and Service providers need the ability to deploy storage infrastructures starting with a few servers and scale out limitlessly with guaranteed reliability, predictable performance and seamless integration with their infrastructure and applications while maintaining operational simplicity.
New application workloads such as real-time analytics and AI make hyperscale challenges more onerous
Excelero Is a Game Changer for Web Monsters
Excelero’s Software-Defined Storage platform NVMesh® enables Web, Cloud and Service providers to design Server SAN infrastructures for the most demanding cloud-scale applications, leveraging standard servers and multiple tiers of flash. NVMesh allows pooling flash over a network at local speeds. The primary benefit of NVMesh is that it enables true converged infrastructure by logically disaggregating storage from compute. It bypasses the CPU and avoids noisy neighbors, which is ideal for scale-out applications. This approach provides deterministic performance for applications and enables customers to maximize the utilization of their flash drives.