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More storage, more backup – and now with Manila, too: the Open Telekom Cloud features a wide range of improvements and enhancements in its new release.

Deutsche Telekom has gone live with the latest version of its public cloud offering.

Deutsche Telekom has gone live with the latest version of its public cloud offering.

Storage offerings for extreme speeds

Elastic volume storage (EVS) was previously available in three performance classes: SATA, SAS and SSD. Customers who have higher performance requirements can now book a boost mode for both SAS and SSD. The boosts achieve data throughput speeds of up to 1 Gbps, 30,000 IOPS and average response times of 1 ms (SSD boosted). These offerings are intended for users who have extreme requirements for data transfer speeds.

The Volume Backup service has also been given a more powerful big brother: whereas backups were previously limited to individual volumes, the new Cloud Server Backup Service (CSBS) makes it possible to back up and restore entire servers and all their connected hard drives with a single click.

Manila network storage

With its Scalable File Service, the Open Telekom Cloud is implementing Manila, another OpenStack-native service. Manila is a network storage solution that is as flexible as object storage. It scales automatically with the stored data quantity, not only with regard to storage volumes (up to 10 PB), but also bandwidth (up to 2.5 Gbps). It also delivers much higher performance than object storage. Its greater intelligence enables access from different servers, making it similar to network-attached storage (NAS). And it's just as simple to use, as well.

Data Warehouse Service

In addition to a number of other new features (see here for details), a Data Warehouse Service (DWS) rounds out the spectrum of new services: data warehouses consolidate data from a variety of sources, enabling data analytics beyond these individual silos. The Data Warehouse Service in the Open Telekom Cloud copies the original data to a database and then consolidates it in a data model. The DWS can then run a variety of analyses on this consolidated data.

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