PowerFlex uses software to unlock the full potential of rapid advances in industry-standard hardware and deliver extreme SLA outcomes. It aggregates resources across a broad set of nodes, unlocking massive input, output, and throughput performance while minimizing latency. Its self-balancing architecture eliminates any hotspots and ensures consistency and simplicity over time. You can scale the system while linearly scaling performance from a minimum of four nodes to thousands of nodes, on-demand and without disruption. With its self-healing architecture, PowerFlex can handle outages, upgrades, and maintenance without downtime, resulting in 99.9999 percent availability.
PowerFlex delivers transformational agility that enables organizations to rapidly respond to changing business needs. It offers flexibility to mix and match storage, compute, and hyperconverged nodes in a dynamic deployment, allowing you to scale storage and compute resources together or independently, one node at a time.
PowerFlex supports a broad range of operating environments simultaneously such as bare metal operating systems, hypervisors, and container platforms with a unified underlying infrastructure platform and management. You can also support heterogeneous workloads with varying requirements on a flexible shared infrastructure platform and modernize your application architectures on your schedule.
PowerFlex offers full-stack IT Operations Management (ITOM) and Life Cycle Management (LCM) with PowerFlex Manager. It provides extensive automation capabilities with PowerFlex Manager REST APIs and custom Ansible modules to integrate with your infrastructure, application, and DevOps workflows. PowerFlex Manager enables automated deployments and expansions with minimal time for the IT team, letting them focus on other strategic initiatives.
PowerFlex is designed to deliver superior outcomes at any scale for the most demanding mission-critical environments. It is optimized for a wide range of validated workload solutions ranging from traditional relational databases and modern cloud-native NoSQL databases to throughput-intensive analytics workloads.