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 fantastic alternative to saving data on regional computer or in NAS storage. Begun with Amazon S3, such services are used by a lots of companies, consisting of Microsoft with their Azure Blob Storage.


The advantages of cloud storage are almost infinite storage capability (use as much as you need, not as you have), the distance between the storage and your area (the information won't be lost in a mishap or fire, and access of third parties to your information is badly restricted), decreased cost of information management.


At the very same time cloud storage operates in the manner in which does not match routine techniques to storage gain access to, such as hierarchical file systems and relational databases. Internally created as substantial tables with an index and BLOB field for information, they do not provide sufficient versatility that submit systems or database management systems can offer to the designer and user. The developer needs to perform translation in between the data he has in the application and the back-end cloud storage.


One more significant drawback is a difference between APIs, used by various services. While the majority of services offer so-called REST API, this API remains in reality a format for requests and responses sent out over HTTP. Request commands, parameters and functions offered by services, vary substantially. Due to this switching between cloud services needs writing of separate code for each API.


Lastly, the main factor of (in) approval of storage based services is a question of ensuring information security. Though company inform us about encryption used on their side, such encryption is performed on their systems and there's no guarantee that it's really reliable and if it is even performed. So safety of the information is a genuine problem and not a dream of cloud storage challengers.


Fortunately, there exists a possibility to resolve all of the above issues in an easy and very affordable way.


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


As most file systems, SolFS is page-based. This indicates that it operates not with random series of bytes, but with blocks (sectors on the disk, pages in memory) of repaired size. This makes it simple to back SolFS with nearly any storage.


To make such backing possible SolFS supports callback mode, in which it asks your application to shop or recover the block to or from the back-end storage. So all you need to do is carry out 2 easy functions "put the page #X to the cloud storage" and "retrieve 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 advanced features, such as built-in file encryption and compression (carried out on your side, if you remember the cloud security problem referenced above), almost endless possibilities for storing metadata (various additional information about the main file or data), and to carry out SQL-like look for files. Moreover, if you require custom file encryption (eg. utilizing secrets saved on cryptographic hardware tokens), this is possible with 2 other callbacks - "secure page #X" and "decrypt page #X".


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


Another advantage of SolFS is that moving from one cloud storage service to another is as easy as rewording two standard functions for keeping and recovering of pages to and from the cloud storage.


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


If you don't want to write cloud-specific code at all, we have an option for you too. It's CloudBlackbox - the elements that provide consistent access to different cloud storage services. These components both provide consistent access to cloud storages (Amazon S3, Microsoft Azure at the moment with more to come) and supply boosted encryption capabilities, such as certificate-based encryption of data. So if you are relocating to the cloud, you do not require to dispose of recognized paradigms and existing code. Updating them to modern industry offerings is simple and quick.

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