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What Is Block Storage?

What is block storage?

Block storage, or block-based storage, is a popular option for storage formatting, and is often put in contrast to file storage, and object storage. Block storage, as the name implies, chunks out data into blocks, each with a unique identifier. These fixed-sized blocks then can be individually saved to any number of storage devices, wherever the system finds it most convenient. Block storage can conveniently spread data across multiple environments, enabling systems to take advantage of systems that best serve the needs of storage and data. Some blocks can be stored in a Windows system, while others on a Linux box, to be later assembled when a data request is made.

The main advantage of block storage is its quick retrieval due to the unique identification of blocks and ability to live on their own, independent of environment. Subsequently, block storage is ideal for large data storage applications, such as enterprise transactional databases. But block storage’s speed trades off with expense, and other limitations, such as little capability to handle metadata, requiring higher-level software to manage.

Block-based storage arrays use traditional protocols, like iSCSI, Fibre Channel, or FCoE, that provide multipathing features, making block environments stable and reliable.

Pros and cons of block storage

The main pro for block storage is performance, and is ideal for applications that require low latency, and which will make a tremendous number of IOPS calls.

  • Storage Utilization Optimization — Because block storage is capable of saving data blocks to multiple devices, and environments, storage systems can pool resources and maximize storage. By utilizing every inch of data storage capacity, regardless of the environment, teams can compact and optimize their storage usage, and avoid leaving unused capacity sitting in data centers.
  • Data Consistency — Because of how block storage is architectured, and how it performs over object storage, block storage is considered to have a “strong” data consistency model. This means that once data is changed at the block-level, modifications are immediately made available to the system and other users. Whereas object storage, though with its own benefits, is considered “eventually” consistent, which denotes that data available is not immediate. This is because data needs to propagate in object storage, objects must be replicated to be modified and then replace outdated objects, and until it has, data remains outdated.
  • Performance — Block storage is often chosen for its high speed due to the uniform size of blocks. Additionally, in comparison to object storage, which utilizes a metadata system for accessing data rather than an address style system. Applications that require random access to data benefit greatly from how block storage access data, which allows block-level edits.

Advancements in technology have reduced many of the disadvantages that block storage used to have, like the inability to store across environments, which is now a block storage capability and advantage. But there are still drawbacks to deploying block storage.

  • Dedicated Network Fabric — Block storage is heavily relied upon for storage area networks (SAN). SANs utilize multiple block-level data storage devices, consolidating them into a storage network that is then connected to the main network, seamlessly providing storage capacity to users, while enabling storage scaling. But, these storage networks are held together with its own network “fabric” that is complex, and potentially costly.

Complex Management — As alluded to above, SANs using block storage are more complex than directly attaching storage (DAS), or network attached storage (NAS). Therefore, it is essential to ensure that the right skill set to manage these systems is within the IT.

Use cases for block storage

Block storage is an ideal solution in cases where low-latency connectivity, consistent I/O performance, and the capability to distribute data across multiple volumes is helpful. The following are typical use case enabled by block storage:

  • Database Storage — Block storage is used in databases for its low-latency connectivity and consistent I/O performance.
  • RAID Volume Storage — Block storage can be effectively used across multiple physical drives through stripping and mirroring.
  • Email Server Support — Block storage is used in email server use cases for its efficiency and reliability storing large volumes of emails.
  • Storage Area Networks (SAN) — Block storage is very often used as a component in storage area networks.
  • Mission/Business-critical Applications — Block storage’s low latency is suitable for applications that need near instantaneous response times, such as, online transactions process, or financial systems.
  • General Storage — Block storage is useful in bare-metal servers or virtualized server configurations.
  • Hypervisor File System — Block storage’s ability to distribute blocks across multiple volumes makes it a common solution to store hypervisor file systems.
Problems solved by block storage

Block storage is used by enterprises to support business critical applications and services.

One example, transactional systems, those which require the highest performance, such as ordering, inventory, and payments systems, need real-time data consistency to ensure that each system is drawing from the freshest data sources. Block storage provides the reliability and low-latency necessary to enable these high-performance interconnected systems.

VMs are another challenge that block storage is suited to solve. In the modern cloud, which uses orchestration and automation to create and provision VMs, the number of VMs and their association to storage has grown, introducing challenges that block storage helps to solve. From a capacity standpoint, block storage enables VMs to access large amounts of storage. Regarding performance, block storage can handle the increasing number of random I/O calls produced by VMs. And thirdly, resilient block storage is highly available and can enable the concentration of VMs into less storage units

When to use block storage

By comparing the key difference between block storage, object storage, and file storage, IT teams can narrow down the types of storage that will help them achieve their business goals. However, underneath each category there are many options, such as solutions that range from consumer grade block storage, to enterprise SAN block storage.

 

Block Storage

Object Storage

File Storage

Costs

More expensive when volume goes up

Less expensive the more volume goes up

More expensive when volume goes up

Management

Moderate manageability, more when configurations extend to SAN types

Metadata makes high volume searchability easier

Hierarchical storage makes smaller volumes highly manageable

Volume/Capacity

Suitable for scaling

Highly suitable for high volumes

Not suitable for scaling

Data Retrieval

Highly accessible

Highly accessible for large volumes

Highly accessible

Metadata

Basic metadata

Highly searchable metadata

Basic metadata

Use cases

Highly suitable to real-time data transactions, performance use cases

Highly expansive data repositories, with less than real-time modifications

Workstations and smaller database applications, without plans to scale

Block storage vs. object storage vs. file storage

Block storage can be compared to two other common storage formats, file storage and object storage. These formats aim to store, organize, and allow access to data in specific ways that benefit certain data applications. For instance, file storage, commonly seen on desktop computers as a file and folder hierarchy, presents information intuitively to users. This intuitive format, though, can hamper operations when data becomes voluminous. Block storage and object storage both help to overcome the scaling of data in their own ways. Block storage does this by “chunking” data into arbitrarily sized data blocks that can be easily managed by software, but provides little data about file contents, leaving that to the application to determine. Object storage decouples the data from the application, using metadata as a file organization method which then allows object stores to span multiple systems, but still be easily located and accessed.

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