The cloud has made data storage agile, scalable, and profitable. Resources are available on demand, allowing developers to shorten application lifecycles and business users to speed up database or transaction processing.
However and usually for reasons such as security, governance or compliance, companies continue to have large volumes of data that they store in a local environment. In resilient environments and in which companies need to work with high-performance solutions, this can become a problem for companies, coming to experiment a high impact on your costs.
It is also not easy for developers and IT staff, who, due to this pressure on the budget, face very long purchases when it comes to renovating their technological infrastructure, which almost always translates into a slowdown in implementation. of applications, less storage capacity and fewer possibilities of give an adequate response during peak demand.
In this space, HPE responds with its new generation of services and solutions that have just been incorporated into HPE GreenLake and of which we have spoken to you a few days ago. Along with existing services, HPE’s consumer IT platform as a service makes it possible to avoid infrastructure over-provisioning, while providing flexibility and scalability in the edge, the data center and the cloud. HPE GreenLake brings the cloud expertise to data processing, making it easy to meet the needs of businesses in compliance, security and performance, without having to give up the benefits of the public cloud.
Developers also benefit from HPE GreenLake offers a broad portfolio of cloud services, such as machine learning operations, containers, storage, compute, virtual machines, data protection, and more, so that they can configure in just a few clicks and while maintaining direct control over what they consume, a cloud that truly adapts to what they need.
Of those new services that have been incorporated into HPE GreenLake in recent weeks, today we want to talk about two of the most interesting: HPE Ezmeral Data Fabric Store and HPEAllestra.
HPE Ezmeral Data Fabric Objet Store
One of the fields where HPE expects to grow the strongest in the coming years is storage. And in this area, the company has just presented its solution HPE Ezmeral Data Fabric Object Store, the first to combine native S3 object storage, along with files, workflows, and databases on a scalable platform that extends from the edge to the cloud.
Available for deployment on both platforms on-premises As in Kubernetes environments, the new from HPE promises a global vision of all the company’s data and a unified access to it, in a cloud model, being also accessible for the most demanding applications in data analysis, big data or data science. Some of its most outstanding features are:
- Performance optimized for data analysis: Designed for scalable object stores, the HPE Ezmeral Object Store has been optimized for the best performance in data analytics workloads, from the edge to the cloud.
- Data synced from the edge to the cloud: Clusters and data are orchestrated together to support sparse edge operations. In addition, from a single Global Namespace, simplified access to all topologies is provided, from any application and interface. By also applying maximum security rules, you ensure that the right people and applications have access to the right data, when they need it.
- Ease of climbing: Businesses can grow as needed, adding new nodes and configuring data persistence policies, while the data store takes care of the rest.
- Balance between performance and cost: Accommodating objects of all sizes, auto-tiering policies automatically move data from high-performance to low-cost storage.
Also in the field of storage, the company introduces HPE Alletra, a cloud-native data infrastructure that accelerates innovation and agility by delivering the cloud consumer and operational experience regardless of where the data resides.
Built for all types of applications, from traditional to modern, HPE Alletra encompasses workload-optimized systems to offer architectural flexibility without the complexity of traditional storage management. Some interesting features of this new infrastructure are the following:
- Powered by AI: Powered by AI technology provided by HPE InfoSight, the platform offers cloud-based machine learning technologies, providing a predictive management and support model that anticipates and prevents potential problems, from storage to virtual machines.
- Designed for the cloud: HPE Alletra is designed to be easily integrated into the Data Services Cloud Console. This enables a common cloud operating experience across on-premises and cloud systems, optimized for all types of workloads. According to HPE, this means that users will be able to experience the same agility and simplicity for each application throughout its lifecycle, from edge to cloud.
- Consumption as a service: Being a platform that allows its consumption as a service, the company can free up its cash flow and increase its financial agility. In this sense, you can access HPE Alletra either by opting for different segments of flexible consumption, or by consuming resources as a service through HPE GreenLake, thus facilitating the ability to scale both vertically and horizontally.
Both HPE Ezmeral Data Fabric Object Store, as HPE Alletra, in addition to the rest of the services that are already part of HPE GreenLake (with interesting additions such as HPE Ezmeral Unified Analytics, HPE GreenLake for Disaster Recovery, or HPE Edge-to-Cloud Adoption Framework) companies of all sizes can enjoy a complete data center as a service throughout the entire value chain of their technology infrastructure.