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.

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.

