What is a data storage system and why is it needed?

A data storage system is a separate information storage solution that is designed for heavy loads. Unlike just storage on a server, such a system is created to ensure that data is stored in an orderly manner, is well protected and remains accessible to different services and users.

Storage systems are usually used in large companies and data centers: such organizations work with large amounts of data, access them regularly, and any downtime can cause large losses. 

The system makes working with data more reliable and predictable: thanks to storage systems, you can expand the volume as you grow, speed up access, distribute the load and cope with force majeure without losing critical information.

What does a storage system usually consist of?

→ Storage devices (HDD or SSD). These are the drives on which the data resides. HDDs are usually chosen when capacity and lower cost are more important. SSD is suitable for cases where speed is important.

→ Memory for acceleration. The system keeps some of the data at hand so that frequently used information is opened faster.

→ Control module. It distributes data across disks, makes sure everything works correctly, and helps protect information in the event of failures.

→ Housing, power and cooling. Note that in most storage systems, power and cooling are duplicated so that the failure of one element does not lead to the shutdown of the entire system.

The result is not just a set of disks, but a single system that can be customized to suit business needs.

What types of storage systems are there based on connection method?

Storage next to the server (DAS)

Such storage is connected directly to one server without a network. This format of work can be deployed fairly quickly, but it is more difficult to organize shared access for several servers. Essentially, the storage is tied to a specific machine.

Network File Storage (NAS)

NAS is a device to which different computers and servers are connected via a network to work with files. It is convenient where shared access is needed: folders, documents, media libraries, projects, backups. NAS typically have user and rights management to ensure everyone only sees what they need.

Storage for server tasks (SAN)

SAN is an option for heavier loads. In this case, the storage is connected to the servers via a separate fast network, and for the servers it looks like ordinary “local disks”. This approach is often chosen for virtualization and databases where speed and stability are important.

In what form can data be stored?

Within a storage system, data can be organized in different ways. This affects how convenient it is to work with them.

1. File storage. It looks like familiar folders and files. Good when people or applications need to work with documents, shared directories, and project files.
2. Block storage. The server receives the disk, and then decides how to use it: formats it, creates partitions, places databases. Often used where speed and smooth operation under load are important.
3. Object storage. Suitable for large volumes: archives, photos, videos, backups, data for analytics. Its strength is in easier scaling: you can quickly increase the volume and store a lot of data.

In practice, companies often mix approaches: for example, databases and virtual machines are kept on one type of storage, and archives and backups on another.

Reliability and disaster recovery

Any system can fail: a disk may fail, there may be a power failure, there may be a configuration error or an external problem. Therefore, not only “iron” reliability is important, but also how quickly and correctly the system can recover.

Typically, several measures are used: backup, duplication of important components, copying data to another node, and protection against overloads and attacks.

To understand how effective all this is, they often look at two indicators:

1. RPO — how much data can be lost in the worst case. For example, if a backup is made once an hour, then in the event of a serious failure, you can lose data for about the last hour.
2. RTO — how much time is allowed for recovery. That is, how quickly the service should work again after a failure.

How to choose a storage system for your tasks

When choosing storage systems, they usually take into account the actual load and plans for growth.

1. Volume. How much data is there already and how fast is it growing.
   2. Speed. How important are fast performance and stable response?
   3. Reliability. Are there backups, copies, a clear recovery plan.
   4. Extension. Is it possible to add volume and performance later without any problems?
   5. Compatibility. Are the required systems and connection methods supported?
   6. Budget. It is important to compare not only the price, but also what is included in support and service.

Data centers often offer two scenarios: either a separate storage system as a whole, or a dedicated part of the storage system within a common system. The first option is usually taken when there is a lot of data and full control is needed. The second is when a specific task is important: database, virtual machines, media storage.

What’s next

Data volumes are growing, and storage requirements are also becoming stricter: we need more speed, less downtime, and clearer control. Therefore, manufacturers regularly release new solutions and improve existing ones.

Recently, there has been a trend in storage systems to use SSDs, because it provides smoother and more predictable operation even under load. But with this approach, it is important to handle data recording carefully so that the drives last longer. Because of this, modern storage systems pay a lot of attention to optimizing work with disks and protecting them from unnecessary wear.

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