Uncomplicate the management of persistent data for production Kubernetes environments, while adding enterprise data protection services and governance without compromising performance and agility. With native integration for Kubernetes, Hammerspace orchestrates data like microservices without concern for the cloud or storage infrastructure.
Seamlessly connecting the Kubernetes services offered by major cloud providers, Hammerspace makes it easy for DevOps and cloud architects to deploy persistent volumes while scaling stateful applications across multiple Kubernetes clusters, on-premises or in any cloud. With Hammerspace, logic and contextual information is stored as metadata for each data object, making data management declarative, to allow developers to orchestrate the deployment of data along with their other microservices as they scale-out their apps.
Hammerspace natively integrates with Kubernetes and other container orchestrators through a Container Storage Interface (CSI) plug-in.
Working with persistent data and stateful apps in Kubernetes is straightforward when data is abstracted from the infrastructure with Hammerspace. Get from test to production faster, without compromising performance or protection.
With Hammerspace, common persistent Kubernetes workloads can natively deploy and scale across existing mixed-vendor NAS, object, and cloud storage infrastructure. Databases, like MySQL and MongoDB, can instantly access persistent data from any cluster across the hybrid multi-cloud through storage classes.
Overcome data gravity, instantly make data available across multiple clusters in a global namespace with live-data mobility.
Enable storage classes across clusters that automatically adjust to available localized resources, keeping the experience consistent and easy for the DevOps consumer.
Waiting for data to copy takes too long, move data only when necessary to meet SLAs. Hammerspace is lightweight, fast, and fully automated with machine learning for on-demand live data mobility.
DR across clouds can be configured with a simple click. With Hammerspace’s geo-spanning global namespace data is automatically orchestrated, active-active, across storage and clouds.
Leverage locally attached storage to deliver performance by skipping the network all together. Deliver server class memory performance with all of the manageability and accessibility of a global namespace.
Hammerspace measures and utilizes telemetry to load-balance across available infrastructure to automatically scale performance and meet demand.
Developers can burst-to-cloud for test and development while safely using data from production workloads.
Exported collections of data, as defined by their extensible metadata tags, can be protected by network isolation to allow developers to safely and quickly run tests with production data.
Managing and scaling stateful workloads into production with Kubernetes is no walk in the park. Persistent data needs to be protected and well managed. Hammerspace let’s users use any storage while providing global enterprise data services that span clouds and clusters.
Hammerspace virtualizes and abstracts data from the infrastructure using machine learning, creating the agility required to provide File Data-as-a-Service to any application or data service.
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