Platforms and Use Cases

Volumez is composable data infrastructure for the most challenging, IO-intensive workloads on the planet. Explore our featured platforms and use cases to learn more.

DevOps and Platform Engineers who work with Kubernetes are familiar with the declarative-composable paradigm for compute and networking: specify the CPU, RAM, and connectivity requirements for an application, and the orchestrator takes care of the rest. But why is data on Kubernetes so complicated? Volumez makes persistent storage on Kubernetes as easy as compute. Installing our CSI driver via helm chart takes about 30 seconds. You then specify the storage capacity, IOPS, latency, and zonal/regional resilience needed, just like with compute resources, and Volumez takes care of the rest.

Volumez makes ultra-high performance, multi-AZ and multi-region application architectures easy on public clouds. Volumez uses instances (such as AWS EC2) with ephemeral storage for primary data and instant snapshots. Simply install the Volumez connector on the instances to register them with the Volumez control plane, and begin provisioning storage.

A cloud database is a database built to run on a public or hybrid cloud platform. As organizations shift workloads from traditional IT environments to the cloud, they are an attractive solution for teams that want to maximize agility and developer productivity. The primary challenges with cloud databases are performance, reliability, and cost. Databases are highly sensitive to IO tail latency, and traditional cloud infrastructure typically cannot deliver the microsecond latency needed for a great user experience. Volumez is an exceptionally good fit for database services, providing mission-critical reliability and guaranteed performance controlled by granular QoS. The Volumez API is trivial to integrate into DBaaS provisioning systems (or use our CSI driver for Kubernetes), and provides a lightweight pure Linux data path with uniform API, performance, and data services on any public or private cloud.

The rapid adoption of artificial intelligence and machine learning systems in every industry has created an unprecedented scaling challenge as businesses convert data from knowledge into intelligence. These advanced use cases can be solved now with composable infrastructure where storage, compute, and networking resources are abstracted from their physical locations and are orchestrated by software that optimizes available hardware resources. Volumez technology makes ultra-high performance data services composable, scalable, and universal across the public and private cloud, keeping GPU pipelines fed with data and preventing noisy neighbors from impacting other workloads in complex data science environments.

High performance computing environments are the nerve center in Life Sciences, Manufacturing, Energy, Finance, and other data-driven sectors. As HPC platforms transition from traditional IT to public and private cloud, delivering performance, reliability, and predictability is an increasing challenge as I/O becomes the bottleneck. Volumez provides exceptional performance with razor-flat linear scalability. Most importantly, Volumez totally eliminates the noisy neighbor problem that is endemic in complex HPC environments and caused by shared storage infrastructure. Jobs in Volumez-enabled HPC environments run in the same predictable amount of time, every time, period. With this predictability, valuable engineering and scientific team productivity improves, and organizations can be more agile and efficient by eliminating the wasted expense of over-provisioning resources.

Platforms and Use Cases

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