From File Systems to the Cloud and Back




From File Systems to the Cloud and Back

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Cloud storages today are a terrific alternative to storing information on local computer or in NAS storage. Begun with Amazon S3, such options are provided by a dozen of companies, consisting of Microsoft with their Azure Blob Storage.


The advantages of cloud storage are nearly infinite storage capacity (usage as much as you require, not as you have), the range between the storage and your area (the data won't be lost in an accident or fire, and gain access to of third parties to your information is seriously restricted), lowered expense of information management.


At the same time cloud storage works in the way that does not match routine techniques to storage access, such as hierarchical file systems and relational databases. Internally created as huge tables with an index and BLOB field for data, they don't provide adequate versatility that submit systems or database management systems can offer to the designer and user. The developer needs to carry out translation between the data he has in the application and the back-end cloud storage.


One more considerable disadvantage is a distinction in between APIs, offered by various services. While most of services offer so-called REST API, this API remains in reality a format for demands and actions sent over HTTP. Request commands, specifications and functions used by services, vary significantly. Due to this changing in between cloud services requires writing of different code for each API.


Lastly, the primary aspect of (in) approval of storage based solutions is a concern of guaranteeing information safety. Though service providers tell us about file encryption utilized on their side, such encryption is carried out on their systems and there's no guarantee that it's truly reliable and if it is even performed. So safety of the data is a real problem and not a dream of cloud storage opponents.


Luckily, there exists a possibility to deal with all of the above problems in a basic and extremely cost-efficient way.


Solid File System (SolFS) offers the missing out on pieces that fit well into cloud storage architecture.


As the majority of file systems, SolFS is page-based. This suggests that it operates not with random sequences of bytes, however with blocks (sectors on the disk, pages in memory) of repaired size. This makes it simple to back SolFS with almost any storage.


To make such backing possible SolFS supports callback mode, in which it asks your application to store or recover the block to or from the back-end storage. So all you require to do is execute two basic functions "put the page #X to the cloud storage" and "recover the page #X from the storage" in your code, which's all - you have a file system in the cloud!


However that's not all SolFS can provide. The file system provides several innovative functions, such as built-in encryption and compression (performed on your side, if you remember the cloud security problem referenced above), nearly endless possibilities for storing metadata (different supplementary info about the main file or data), and to carry out SQL-like search for files. Additionally, if you need custom file encryption (eg. utilizing secrets saved on cryptographic hardware tokens), this is possible with two other callbacks - "secure page #X" and "decrypt page #X".


And what if you need not a file system, but a relational database? No issues either! You can utilize your preferred DBMS and have it keep it's files on the virtual disk, developed by SolFS (System Edition). This way the database files are stored in the cloud storage, and your application deals with them by means of database management system of your option.


Another benefit of SolFS is that moving from one cloud storage service to another is as easy as rewriting 2 standard functions for storing and retrieving of pages to and from the cloud storage.


You can state that you still require the code, that works with the cloud. This is appropriate, but it's much easier to write the code that shops and obtains fixed-sized files (each page has the very same size) by page number, than to try to implement a relational database or a file system in the cloud yourself.


If you do not wish to compose cloud-specific code at all, we have a service for you too. It's CloudBlackbox - the elements that offer uniform access to different cloud storage services. These components both offer uniform access to cloud storages (Amazon S3, Microsoft Azure at the moment with more to come) and supply boosted file encryption abilities, such as certificate-based file encryption of information. So if you are moving to the cloud, you don't require to dispose of established paradigms and existing code. Upgrading them to contemporary market offerings is simple and quick.

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