Products

FAQ

Is RING suitable for use as a private cloud archive?

When it comes to backend storage repositories, Scality RING is system-agnostic. It can equally link up with public, private, or hybrid cloud archives, and can leverage any type of storage media, from SSD, to fast SAS disk, to denser and cheaper SATA disks. Scality RING can also benefit from the low latency of 10 Gigabit Ethernet and Infiniband networks. While traditional storage technologies are optimized for very fast serial operations, RING is a completely parallel design, which is ultimately a more effective solution when serving many users.

You can install Scality RING on a Linux (Centos/Redhat or Ubuntu) server, and manage the RING from any platform with a web browser.

What are the power and cooling usage stats for a RING system?

Deployed with SAS disks for primary storage of a cloud application, such as webmail or a photo sharing site, a small 100-node RING can deliver hundreds of thousands of objects per second, with a predictable latency below 40 milliseconds at a cost of less than $1/GB. When deployed with large SATA disks for long term storage such as cloud backup, Scality RING’s total cost of operation is only a few pennies per GB per month.

Although Scality RING is hardware agnostic and the costs depend on the hardware selected, they tend to go down proportionally as you scale up the storage usage of your system. The following diagram shows the dollar costs for Scality RING per GB of storage per month of total usable capacity in terabytes. When using 100 GB of storage per month, datacenter power and cooling costs are approximately three cents per GB. If you use 15 TB of storage per month, these costs go down to less than a penny per GB.

What do you mean by Organic Storage?

Similar to the way a living organism is made of cells that constantly and automatically replenish themselves even in a dynamically changing environment, organic storage allows for continuous growth in the face of recurrently evolving storage requirements. An organic storage system is a system that demonstrates many of the features of a living organism: resilience, self-healing, adaptive accommodation, and constant renewal. It accomplishes this by allowing new servers to be added while client applications remain fully functional, and by providing automatic failover strategies when an existing server is retired, disconnected, or simply stops working. When a server dies inadvertently, absolutely no manual intervention is required.

Organic
Storage is able to transform 
itself over time, 
always 
leveraging 
the 
lowest
 cost 
of 
hardware,
 without 
requiring 
complex
 deployment 
or 
migration 
processing.
 Scality 
RING
 patented 
technology 
allows
 the
 system
 to
 find
 data
 within
 milliseconds,
 even
 when
 tens
 of
 petabytes
 of
 data
 and
 hundreds
 of 
billions
 of
 objects have
 been
 stored 
over
 tens 
of
 thousands
 of
 disks.

What kind of hardware can I use with RING?

When it comes to backend storage repositories, Scality RING is system-agnostic. It can equally link up with public, private, or hybrid cloud archives, and can leverage any type of storage media, from SSD, to fast SAS disk, to denser and cheaper SATA disks. Scality RING can also benefit from the low latency of 10 Gigabit Ethernet and Infiniband networks. While traditional storage technologies are optimized for very fast serial operations, RING is a completely parallel design, which is ultimately a more effective solution when serving many users.

You can install Scality RING on a Linux (Centos/Redhat or Ubuntu) server, and manage the RING from any platform with a web browser.

Would RING work in a hybrid cloud infrastructure?

When it comes to backend storage repositories, Scality RING is system-agnostic. It can equally link up with public, private, or hybrid cloud archives, and can leverage any type of storage media, from SSD, to fast SAS disk, to denser and cheaper SATA disks. Scality RING can also benefit from the low latency of 10 Gigabit Ethernet and Infiniband networks. While traditional storage technologies are optimized for very fast serial operations, RING is a completely parallel design, which is ultimately a more effective solution when serving many users.

You can install Scality RING on a Linux (Centos/Redhat or Ubuntu) server, and manage the RING from any platform with a web browser.

Can I install and implement RING myself?

Instructions for installation are available on Scality wiki pages. Software updates are downloadable from the Scality repository website. These websites require a login and may be ACL-restricted. As with any carrier grade software or equipment, a minimum of a few days of design and integration services is recommended to make sure that the architecture and installation are reliable, sustainable and future proof.

Is RING suitable for database storage?

Scality Organic RING software is not currently suitable for storage of traditional relational databases or for storage of VMs or virtual desktop infrastructures. However, it remains one of the best choices for both primary and long term storage of unstructured data. Unstructured data refers to information which does not fit well into a traditional relational database model. This includes files, whether they are text or documents of any sort, photos, videos, music, scan, data resulting from imaging or surveys, emails, html pages, logs and CDRs. In many cases, unstructured data actually does have an underlying structure but it is not easily handled by traditional relational databases.

Where are the Indexes in this system?

Indexes are user metadata that are kept on the RING for all stored objects. In the most recent releases, a special index daemon, sindexd, is included with the Scality RS2 connector. The sindexd daemon collects the metadata of the objects (key, file name, file size, modified time, owner, flags, version, and so on) stored on the RING or offloaded to second tier storage. Batched bucket indexing commands are sent to the sindexd indexing utility at intervals controlled by configuration settings. The ability of sindexd to process batched index requests and responses fulfills a basic requirement for extending RING support to big buckets (buckets that can contain millions of objects).